20 jobs found

GXM Technologies LLC seeks a Senior Digital Engineer specializing in MBSE and Data Science to support mission-critical defense and intelligence programs. In this role, you will architect and maintain SysML-based models, integrate geospatial, C4ISR, AI/ML, and cyber capabilities, and build advanced analytics to inform complex system decisions. You will collaborate with cross-functional teams, drive digital engineering best practices, mentor junior staff, and contribute to R&D efforts, delivering secure, scalable solutions that directly support U.S. national security objectives. Responsibilities Lead development of MBSE models to support complex defense and intelligence systems Design and implement data science and analytics solutions for mission-focused applications Integrate geospatial, C4 ISR, AI/ML, and cyber capabilities into digital engineering workflows Collaborate with cross-functional teams to define system architecture and requirements Develop prototypes and tools to support advanced R&D and systems integration Ensure model traceability, verification, and validation across the system lifecycle Optimize data pipelines, feature engineering, and model performance for production use Document designs, analyses, and technical decisions for stakeholders and customers Mentor junior engineers and data scientists in MBSE and analytics best practices Support proposal efforts and technical presentations to government clients Required Skills Model-Based Systems Engineering (MBSE) Sys ML or similar modeling languages Systems architecture and requirements engineering Data science and statistical analysis Python or similar programming languages Machine learning frameworks (e.g., Tensor Flow, Py Torch, scikit-learn) Geospatial data and tools (e.g., GIS, geospatial libraries) C4 ISR or defense/intelligence systems domain knowledge Data pipeline and ETL development Cloud or containerized environments for analytics

Amazon GuardDuty is a threat detection service that continuously monitors, analyzes, and processes AWS data sources and logs to identify unexpected, potentially unauthorized, and malicious activity within customer AWS environments. GuardDuty combines machine learning, anomaly detection, and malicious file discovery, using both AWS and third-party sources to help protect workloads and data across AWS accounts. Amazon GuardDuty is seeking talented Software Development Engineers to join a team in our Los Angeles office!. In this role, you will design, build, and operate highly available, scalable distributed systems that power GuardDuty's Malware protection and Runtime Monitoring products. You will work on challenging problems at the intersection of cloud security, distributed systems, and customer experience - building platforms that serve both internal teams and millions of external AWS customers. You will be a hands-on engineer contributing to the full software development lifecycle - from requirements gathering and system design through implementation, testing, deployment, and operations. You will collaborate closely with security engineers, applied scientists, and product managers to deliver features that protect millions of AWS customers. This is a high-impact role where your work directly contributes to the security posture of AWS customers worldwide. Key job responsibilities - Design, develop, and maintain highly available, scalable distributed systems for GuardDuty's Malware Protection and Runtime Monitoring services - Build and operate metadata services that enrich data for internal GuardDuty teams - Own and evolve the runtime agent provisioning and agent coverage platform across AWS compute services - Own features end-to-end across the full software development lifecycle - from design through deployment and operations - Effectively leverage AI-assisted development tooling to accelerate design, coding, testing, code review, and operational workflows while maintaining a high quality bar - Write high-quality, testable code and participate in design and code reviews, using AI tooling to improve velocity and consistency without compromising correctness or security - Troubleshoot and resolve complex production issues, driving root cause analysis and operational excellence - including using AI tooling to accelerate log analysis, hypothesis generation, and runbook execution - Collaborate with security engineers, applied scientists, and product managers to define technical solutions - Mentor junior engineers on engineering best practices, including responsible and effective use of AI tooling, and contribute to team-wide standards - Contribute to operational excellence through on-call rotations, runbook development, and system monitoring A day in the life As an SDE II on this team, you spend your time designing, building, and operating distributed systems that protect AWS customers from runtime threats at massive scale. On any given day, you might be drafting a design document for a new feature, diving deep into code, reviewing a teammate's pull request, or debugging a production issue - using AI tooling along the way to move faster without cutting corners on quality. You collaborate with security engineers, applied scientists, and product managers to understand their needs and build the right solutions. You participate in operational reviews, contribute to sprint planning, and mentor teammates as part of how the team operates. The work is varied, fast-paced, and high-impact - every line of code you ship helps protect AWS customers. About the team Our team owns two of GuardDuty's core threat detection products: Malware Protection, which scans EC2 workloads, S3 objects for malicious files and supporting AWS Backup and Runtime Monitoring, which uses an eBPF agent to detect threats in real time across EC2, ECS, Fargate, and EKS. We work at the intersection of security research, distributed systems, and operating system internals - protecting AWS customers from the threats that target their compute and data. BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Santa Monica - 143 400.00 USD annually

Do you want to be part of AI revolution? At AWS our vision is to make deep learning pervasive for everyday developers and to democratize access to cutting-edge infrastructure. In order to deliver on that vision, we've created innovative software and hardware solutions that make it possible. AWS Neuron is the SDK that optimizes the performance of complex ML models executed on AWS Inferentia and Trainium, our custom chips designed to accelerate deep-learning workloads This role is for a senior software engineer in the Compiler team for AWS Neuron. As part of this role, you will be responsible for building next generation Neuron compiler which transforms ML models written in ML frameworks (e.g, PyTorch, TensorFlow, and JAX) to be deployed AWS Inferentia and Trainium based servers in the Amazon cloud. You will be responsible for solving hard compiler optimization problems to achieve optimum performance for variety of ML model families including massive scale large language models like Llama, Deepseek, and beyond as well as stable diffusion, vision transformers and multi-model models. You will be required to understand how these models work inside-out to make informed decisions on how to best coax the compiler to generate optimal implementation instruction. You will leverage your technical communications skill to partner with other teams and will be involved in pre-silicon design, bringing new products/features to market, and many other exciting projects. Experience in object-oriented languages like C++/Java is a must, experience with compilers or building ML models using ML frameworks on accelerators (e.g., GPUs) is preferred but not required. Experience with technologies like OpenXLA, StableHLO, MLIR will be added bonus! Explore the product and our history! AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Key job responsibilities You will design, implement, test, deploy and maintain innovative software solutions to transform Neuron compiler's performance, stability and user-interface. You will work side by side with chip architects, runtime/OS engineers, scientists and ML Apps teams to seamlessly deploy cutting edge ML models from our customers on AWS accelerators with optimal cost/performance benefits. You will have opportunity to become front-face of Neuron Compiler to work with open-source communities (e.g., StableHLO, OpenXLA, MLIR) and influence industry wide partners to pioneer optimizing cutting-edge ML workloads on AWS software and hardware. You will also work on building innovative features that will deliver best possible experiences for our customers - developers across the globe. A day in the life As you design and code solutions to help our team drive efficiencies in compiler architecture, you'll create compiler optimization and verification passes, build features surface features and peculiarities of AWS accelerators to developers, implement tools to analyze numerical errors, and resolve the root cause of compiler defects. You'll also participate in design discussions, code review, and communicate with internal (other Neuron SDK and Amazon wide teams) and external stakeholders (open-source communities and respond to Neuron compiler related questions in open forums, e.g. GitHub). Lastly, work in a startup-like development environment, where you're always working on the most important stuff. About the team About the Team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 2+ years of experience in developing compiler features and optimizations - Proficiency with 1 or more of the following programming languages: C++ (preferred), C, Python PREFERRED QUALIFICATIONS - Master or PhD degree in computer science or equivalent - Proficiency with resource management, scheduling, code generation, and compute graph optimization - Experience optimizing Tensorflow, PyTorch or JAX deep learning models - Experience with multiple toolchains and Instruction Set Architectures Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 193 500.00 USD annually

US Telecommuter Telecommuter AR Telecommuter ID Telecommuter HI Telecommuter NE Telecommuter CA Telecommuter MN Telecommuter MO Telecommuter TX Telecommuter NV Telecommuter KY Telecommuter NM Telecommuter OK Telecommuter SD Telecommuter IL Telecommuter UT Telecommuter KS Telecommuter TN Telecommuter IA Telecommuter CO Telecommuter MI Telecommuter WA Telecommuter OR Telecommuter MT Telecommuter AZ Telecommuter WY Full time R77526 The 'Apply with SEEK option' will be utilized for International applicants, mainly Australia. If this does not apply to you please use the 'Apply' option. IF YOU CARE, THERE'S A PLACE FOR YOU HERE EFI Global is a full-service engineering, fire investigation, environmental, health and safety, and specialty consulting services firm serving a variety of industries in both the public and private sectors. Over the last four decades, we have grown from a boutique firm specializing in handling insurance fraud and arson cases and providing expert witness testimony, into a recognized global leader in engineering failure analysis, origin-and-cause investigations, environmental consulting, laboratory testing and specialty consulting. Our forensic investigation, engineering and environmental services teams around the world share a dedication to expertise, quality and demonstrating to customers that caring counts . Each of our more than 700 professional engineers, fire investigators, architects and scientists was selected for their technical proficiency, in-depth industry knowledge and commitment to professional integrity. Together, our diverse backgrounds and collective insights empower clients to make better-informed business decisions. EFI's combination of global solutions and local expertise has earned the firm a reputation for delivering timely responses that consistently meet our clients' expectations-anytime, anywhere. Click here to learn more about EFI Global. PRIMARY PURPOSE The Regional Business Development Manager develops relationships and identifies business development opportunities through industry engagement, networking, and market intelligence. Evaluates prospective opportunities, assesses alignment with organizational capabilities, and provides recommendations that support client engagement, territory growth, and business development objectives. ESSENTIAL FUNCTIONS AND RESPONSIBILITIES Industry Events & Association Engagement Represents the organization at industry conferences, trade shows, association meetings, and networking events within an assigned territory. Increases company visibility and strengthens relationships within targeted industry sectors. Participates in professional associations and industry communities. Outbound Networking Analyzes organizational priorities, service capabilities, and market opportunities to identify potential areas for business development engagement. Evaluates prospective opportunities against established business development criteria and provides recommendations. Documents findings and provides business development recommendations to internal stakeholders. Business Development Analysis & Opportunity Development Conducts discovery conversations to understand organizational capabilities, priorities, and alignment with prospective client needs. Qualifies opportunities against established business development criteria. Analyzes key findings and communicates insights to stakeholders. Facilitates and advances business development opportunities. Supports territory growth strategies through targeted outreach, lead generation, and relationship development efforts. Manages and analyzes business development activities and opportunity data. Lead Nurturing & Relationship Development Develops and executes follow-up plans for contacts established through events, conferences, and association activities. Leverages multiple communication channels to cultivate relationships. Builds and manages relationships with prospective clients. Market & Competitive Intelligence Researches and analyzes industry trends, market developments, and competitor activities. Gathers intelligence from conferences, events, and professional networks. Shares relevant market insights. ADDITIONAL FUNCTIONS AND RESPONSIBILITIES Performs other duties as assigned. Travel as required. QUALIFICATIONS Education & Licensing Bachelor's degree in business, Marketing, Communications, Public Relations, or related field preferred. Experience Two (2) years of experience in business development, sales support, account management, client engagement, customer success, or similar role. Skills & Knowledge Strong verbal, written, and interpersonal communication skills. Ability to engage professionally with executives, clients, industry leaders, and stakeholders. Relationship-building and active listening skills. Familiarity with CRM platforms and sales engagement tools. Experience with Microsoft Dynamics CRM, HubSpot, LinkedIn Sales Navigator, or similar preferred. Strong organizational and time-management skills. WORK ENVIRONMENT Mental: Clear thinking, judgment, problem solving, ability to meet deadlines. Physical: Computer keyboarding, travel as required. Auditory/Visual: Hearing, vision and talking. NEXT STEPS If your application is selected to advance to the next round, you will receive an e-mail notification or phone call from a recruiter to schedule an initial call. As required by law, Sedgwick provides a reasonable range of compensation for roles that may be hired in jurisdictions requiring pay transparency in job postings. Actual compensation is influenced by a wide range of factors including but not limited to skill set, level of experience, and cost of specific location. For the jurisdiction noted in this job posting only, the range of starting pay for this role is $100,000 - $ 110,000 . A comprehensive benefits package is offered including but not limited to, medical, dental, vision, 401k and matching, PTO, disability and life insurance, employee assistance, flexible spending or health savings account, and other additional voluntary benefits. Always accepting applications. The statements contained in this document are intended to describe the general nature and level of work being performed by a colleague assigned to this description. They are not intended to constitute a comprehensive list of functions, duties, or local variances. Management retains the discretion to add or to change the duties of the position at any time. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers, the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Diego Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, the California Fair Chance Act, and all other applicable laws. Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace Our business is founded on people with the best technical skills and outstanding industry knowledge and we strive to employ and retain exceptional talent. EFI Global is an equal opportunity employer welcoming applications from all qualified persons. If you are interested in working for us, please visit our job board.

Announcement Details Open Date 06/24/2026 Requisition Number PRN45460B Job Title Graduate Research Assist (RA) Working Title PhD Student in AI research Career Progression Track A00 Track Level FLSA Code Professional Patient Sensitive Job Code? No Standard Hours per Week 20 Full Time or Part Time? Full Time Shift Day Work Schedule Summary This position is expected to attend meetings and be otherwise communicating during standard business hours VP Area Academic Affairs Department 00810 - Scient Comp & Imag Instit-Oper Location Campus City Salt Lake City, UT Type of Recruitment External Posting Pay Rate Range per TBP guidelines Close Date 09/24/2026 Priority Review Date (Note - Posting may close at any time) Job Summary We are seeking a highly talented PhD Student with experience and interest in state-of-the-art AI technologies, data science, and research software engineering, a. This position offers the opportunity to work in a world-renowned research institute alongside faculty, software engineers, PhD students, and PostDocs on the development of cutting-edge AI-ready/agentic infrastructure for data and model discovery, model metadata extraction, and scholarly intelligence. The project will explore conceptual frameworks and system architecture to support data trust in the context of AI-enabled sience workflows. Experience and developing and deploying software is desired. We are extending and maintaining the National Data Platform to support a new generation of discovery capabilities targeting AI-enabled (agentic) science workflows Building on ideas pioneered by the Democratizing Data 12 project ( insights.ndp.utah.edu ) , this project will explore approaches to discovery data and models that are trusted and fit for use by leveraging contextual information about their use derived from a range of sources including published literature. The approach includes extracting, linking, and presenting evidence from records to help users understand where models are used, how they are applied, what tasks they support, and how they evolve across scientific domains. The successful candidate will contribute directly to the research and implementation of workflows for AI model identification, publication mining, metadata engineering, search and retrieval, and interactive user-facing systems. The role includes support for integration, development, deployment, maintenance, UI/UX, containerization, automation, and system-level optimization. Please contact Jess Tate () for further information. The SCI Institute: The SCI Institute is a world-class research institute located within the new Warnock Engineering Building on the University of Utah campus. We are a highly dynamic, driven group of over 170 faculty, staff, and students. The overarching goals of the SCI Institute's scientific computing research are to create new techniques, tools, and systems, by which scientists may solve problems affecting various aspects of human life. We believe that to advance the state-of-the-art and create meaningful computational solutions for such complex systems, one needs to advance research in a number of areas within scientific computing, including: visualization, simulation, and modeling. The SCI Institute presents a highly challenging, collaborative work environment that can be deeply rewarding for the right individual. Further information is available at Research Focus of This Position This position centers on the design and development of systems that enable discovery and analysis of AI models used in scientific research publications. Rather than cataloging datasets cited by papers, this effort focuses on identifying and organizing information about: • AI models mentioned or used in publications • model families, versions, checkpoints, and architectures • tasks and scientific domains in which models are applied • evidence of reuse, benchmarking, fine-tuning, and comparison • links among papers, models, repositories, benchmarks, and supporting resources • search, ranking, and visualization interfaces for model-centric scholarly exploration This work sits at the intersection of AI/NLP, scholarly knowledge extraction, software engineering, data infrastructure, and human-centered discovery systems. Opportunities for Professional Development Through the Cyberinfrastructure Professionals (CIP) Cooperative (Co-Op) at the SCI Institute, the successful candidate will access a strong community of research computing and data experts working together to support and sustain SCI's world-class research efforts. SCI's CIPs perform a wide range of advanced services that positively impact research outcomes, improve researcher productivity, and strengthen the growing SCI research enterprise. The Co-Op provides faculty and research staff with a stable environment for mentoring, growth, training, communication, and planning across diverse research projects. This role offers exceptional opportunities to: • contribute to high-impact interdisciplinary research • publish and present work in relevant venues • collaborate with experts in AI, data systems, and scientific computing • gain hands-on experience with production-grade research software and infrastructure • mentor students and junior developers • shape the future of AI-ready scholarly discovery platforms Work Environment You will contribute to cutting-edge computational methods for AI-ready model discovery, research knowledge extraction, and scientific search systems. We offer: • flexible working hours • professional career development opportunities • collaboration with a multidisciplinary and research-driven team • access to strong computing and research infrastructure • a competitive benefits package through the University of Utah Responsibilities • Work with faculty, staff, and students in designing and developing computational tools in support of research projects. • Aid in the specification of software requirements in coordination with faculty or team leads. • Develop user interfaces, APIs with web front-end technologies like HTML5, SCSS, Vue, React, Typescript, D3.js, node.js, chart.js • Back end server component development with technologies such as Flask, Django, CKAN, ArangoDB, PostgreSQL, MongoDB, Redis, and Elasticsearch. • Create and maintain build, testing, and deployment systems with Git, Github, Slack, Docker, AWS, Circle-CI, webpack, npm and many others. • Develop high quality and well documented code. • Build CI/CD workflows to validate changes across multiple targets • Profile and optimize performance for data throughput and latency • Interface with collaboration partners and participate actively in a collaborative work environment to turn requirements into optimal solutions on a large scale. • Contribute actively to team discussions on architectural design and solutions by continuously looking for improvements. • Research and stay current with project-related scientific literature. • Identify and implement creative solutions to overcome problems. • Mentor postdocs, students, and junior software developers for best software practices. • Support the end-user community by responding to user questions posted on the discussion list, fixing bugs, and incorporating feature requests. • Help with the project website and discussion boards for user support, developer support, and announcements. • Contribute to teaching activities by preparing and presenting educational seminars Minimum Qualifications Current University of Utah graduate student who is supported on the Tuition Benefit Program. Preferences Strongly Preferred Skills: • Solid background and working knowledge of computer science fundamentals including algorithms, data structures, and object-oriented programming. • Experience with HTML and web technologies. • Good knowledge of server technology and databases. • Working with large codebases • Containerization (Docker) and building software for web deployment • Strong understanding of Linux toolchains and debugging tools • Debugging and critical thinking skills including identifying bottlenecks, and bugs and devising solutions to these problems. • Experience with GitHub Actions, GitLab CI, or similar CI/CD systems • PhD in Computer Science, Scientific Computing, Data Science, Informatics, AI/ML, or a closely related area, or equivalent research experience. Preferred skills and experience: • Experience contributing to scientific computing frameworks • Knowledge of RDMA, libfabric, or similar low-level communication APIs • MCP and NLP integration • UI/UX design • Scientific visualization • CyberSecurity and AAI (OAuth2, Keycloak, etc) • Cloud deployment and Kubernetes Non-Technical Skills • Able to work in a collaborative software development environment as well as working independently with minimal supervision and direction. • Able to learn new tools and technologies. • Being self-motivated and having good organizational, communication, and teamwork skills is essential. • Willingness and ability to collaborate in a highly diverse, multi-disciplinary environment click apply for full job details

Position overview Salary range: Exempt: A reasonable estimate for this position is $57,000 at Step 1 or $60,700 at Step 2. Non- Exempt: A reasonable estimate for this position is $27.40/hr at Step 1 or $29.18/hr at Step 2. Application Window Open date: July 6, 2026 Most recent review date: Tuesday, Jul 21, 2026 at 11:59pm (Pacific Time) Applications received after this date will be reviewed by the search committee if the position has not yet been filled. Final date: Wednesday, Jun 30, 2027 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. Position description The Jr. Specialist with a background in neurotechnology and medicine participates with a multidisciplinary team of physicians and scientists with the UC Davis Neuroprosthetics Lab. Our research develops and tests the safety of a brain-implantable neural interface system, BrainGate2. We are developing this BCI system to allow people with physical disabilities (e.g., unable to speak due to ALS or stroke) to speak simply by attempting to do so, by decoding their speech-related brain activity in real-time. The Jr. Specialist is at the front lines of cutting-edge research, working on integrating our speech BCI software to standard consumer operating systems and software (e.g. clinical trial participants can use a brain-to-text attempted speech decoder to write emails and documents, send messages, and how the technology can apply to their day-to-day life). Other aspects of the project include: automating and streamlining various parts of the BCI process to enable at-home use without the research team present; quantifying performance and automatically detecting problems; and making the system robust to changing neural and environmental context. The Jr. Specialist participates in laboratory meetings, assists with experimental designs for novel BCI technology, contributes towards academic publications published in peer-reviewed journals, and attends relevant talks/meetings. The neurotechnology software developer communicates with clinical trial participants and their caregivers, as well as the research team (including the UC Davis team and our collaborators at the other BrainGate sites), on a regular basis I. RESEARCH (90% Effort) A. Collaborate with other research personnel affiliated with research activities involving software development, neurotechnology, and medicine. B. Integrate our speech BCI software to standard consumer operating systems and software; automating and streamlining various parts of the BCI process to enable at-home use without the research team present. C. Quantifying performance and automatically detecting problems; making the system robust to changing neural and environmental context D. Communicating with clinical trial participants and their caregivers, as well as the research team (including the UC Davis team and our collaborators at the other BrainGate sites), on a regular basis. E. Collaborate as author on publications. F. Scientific contributions to published research G. Active dissemination of information (beyond the boundaries of the campus) through published software and presentations. II. PROFESSIONAL COMPETENCE (5% Effort) A. Participate in appropriate professional/technical societies or groups and other educational and research organizations. B. Review research proposals, journal manuscripts, and publications related to area of expertise. III. UNIVERSITY AND PUBLIC SERVICE (5% Effort) A. May maintain liaison and respond to the needs of various industry organizations, state and federal agencies, and other external groups on issues related to area of expertise. B. Participate in activities of committees within the department, college, campus and other University entities, as appropriate Qualifications Basic qualifications (required at time of application) Outstanding communication (both verbal and written) and interpersonal skills. Strong technical competency with computer and electronic equipment (e.g., using microphones, video cameras, etc.), computer software. Ability to work independently, take initiative, critical problem-solving, prioritize tasks, and enthusiasm. Ability to thrive in a collaborative program and comfort navigating a clinical environment. Ability to coordinate activities with colleagues at multiple clinical trial sites. Strong organizational skills. Excellent attention to detail and ability to document research activities. Attention to data and respecting confidentiality where appropriate. Ease interacting with and taking direction from multiple levels including physicians, scientists, and engineers, in-person and via teleconferences and/or videoconferences. Additional qualifications (required at time of start) Candidates must have a Bachelor's degree, but no specific degree is required. Bachelor's degree in Computer Science, Engineering, or equivalent is encouraged. Background in neurobiology and quantitative methods are encouraged, but are not required. Experience designing, implementing, and testing high-reliability software Willingness to travel up to 3 hours from Sacramento for data collection at a research participant's home. Transportation with other lab members is possible but a valid driver's license and access to a personal vehicle can simplify the travel. Application Requirements Document requirements Cover Letter (Optional) Curriculum Vitae - Your most recently updated C.V. Authorization to Release Information Form - This form is required for all applicants applying to academic recruitments. Please see the Employment Disclosure Requirements webpage for more information. Download, complete, sign, and upload the form. Reference requirements 3-5 required (contact information only) Apply link: Help contact: About UC Davis As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct. "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer. UC Sexual Violence and Sexual Harassment Policy UC Anti-Discrimination Policy for Employees, Students and Third Parties APM - 035: Affirmative Action and Nondiscrimination in Employment To implement this process, UC Davis requires all applicants for any open search to complete, sign, and upload the form entitled, "Authorization to Release Information" into UC RECRUIT as part of their application. If an applicant does not include the signed authorization with the application materials, the application will be considered incomplete, and as with any incomplete application, will not receive further consideration. UC Davis is a smoke and tobacco-free campus. The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law. Under Federal law, the University of California may employ only individuals who are legally able to work in the United States as established by providing documents as specified in the Immigration Reform and Control Act of 1986. Certain UC Davis positions funded by federal contracts or sub-contracts require the selected candidate to pass an E-Verify check. The University of California, Davis (UC Davis) is committed to creating a welcoming and inclusive environment for all employees and students. Our excellence in research, teaching, and service are embodied by members of our academic community who share our commitment to these values. A variety of resources and programs are available to academics, staff, and students that reflect the core values reflected in our strategic plan: "To Boldly Go," our Principles of Community, the Office of Academic Affairs' Mission Statement, and the UC Board of Regents Policy 4400. UC Davis is also a national leader in inclusive practice. There are numerous links available on the About Us webpage where you can learn more about our administration, campus rankings, locations, campus safety, sustainability, visiting UC Davis and UC Davis Health. The university is consistently ranked among the top institutions in the world for campus sustainability practices by the UI Green Metric World University Rankings. UC Davis is focused on achieving net-zero greenhouse gas emissions and repeatedly shown its commitment to preserving a healthy and sustainable environment for generations to come. The University of California and UC Davis are committed to offering a wide variety of benefits for employees. The University of California Employee benefits and UC Davis New Employee benefits webpages have additional information. . click apply for full job details

BioIVT is a leading global provider of research models and value-added research services for drug discovery and development. We specialize in control and disease-state biospecimens, including human and animal tissues, cell products, blood and other biofluids. Our unmatched portfolio of clinical specimens directly supports precision medicine research, aiming to improve patient outcomes by coupling comprehensive clinical data with donor samples. As the premier supplier of hepatic products, including hepatocytes and subcellular fractions, BioIVT enables scientists to better understand the pharmacokinetics and drug metabolism of newly discovered compounds and their effects on disease processes. By combining our technical expertise, exceptional customer service and unparalleled access to biological specimens, BioIVT serves the research community as a trusted partner in elevating science. Residents of North Carolina (Durham, RTP) preferred. SUMMARY We are looking for an individual who is self-motivated and an independent thinker, willing to work within a close-knit team. The BioIVT family includes highly experienced scientists and internal sales support teams who are all focused on exceeding the company's business goals. The successful candidate will be expected to work closely with their new colleagues, keeping them involved in the complex support processes that this role demands. You will be fully trained to understand and promote our full range of products and related services. We offer a competitive compensation package that includes a variable compensation structure on top of your base salary, providing opportunities for significant earning potential based on performance ESSENTIAL DUTIES AND RESPONSIBILITIES Responsible for achieving regional sales targets on a quarterly basis in accordance with the annual corporate sales plan. Help with the preparation of proposals in collaboration with your colleagues in operations. Negotiate complex business arrangements. Maintain and enhance the Company's value proposition and professional reputation by displaying the highest levels, of professionalism, competence, and personal integrity. Identify, develop, and maintain customer relationships for relevant accounts within the sales territory. These activities include lead generation, cold calling and prospecting, customer sales calls, appropriate telephone and email follow-up, and reporting. Create and implement appropriate strategies for developing key account business including the arrangement of specific promotions such as one-day table shows, national tradeshows, technical seminars, presentations etc. Conduct presentations to multi-functional customer groups, including scientists, quality, purchasing, and others as appropriate. Report to the Regional Business Development Director all relevant information relating to field activities, including customer feedback, competitive actions, etc. Maintain full technical knowledge and understanding of the Company's products and services on an on-going basis. Keep abreast of relevant scientific papers and publications associated with the application of the Company's products and services and other similar competitive products. Develop and maintain the customer data base for all relevant accounts within the sales region. Provide on a continuous basis, market feedback on the Company's competitiveness. Document all customer interactions in the appropriate contact management software. Develop and maintain a business plan to forecast and achieve sales goals Co-ordinate and communicate effectively with geographic business development management leaders in the US and EU to create an efficient sales-team matrix organizational structure This job description is not intended to be all-inclusive. Employee may perform other related duties as required to meet our on-going needs. Qualifications At least 3 years sales or business development experience representing complex life science products and/or services to pharmaceutical, biotech and diagnostics companies. BA/BS in science or business related field, plus 4 years commercial life science experience (microbiology, biology, chemistry or biochemistry preferred). Ability to effectively present information to customers, clients, and internal staff members Ability to participate in the selection and development of Sales Talent Conceptual thinker with capability to implement ideas that help support our clients' needs. Able to articulate and understand Company products and services. A strong passion to understand customers complex needs and translate that into a product or service that fully responds to that need. A demonstrated ability to understand people and communicate clearly. Demonstrable teamworking skills within a complex commercial environment Organizational skills and attention to detail. Ability to interact with various settings/audiences. Results-oriented. Travel This position may require up to 50% of travel over the course of a year. Knowledge, Skills & Abilities Champions strong sales driven, customer-oriented culture Change management focus establishing adaptable sales team and sales processes Mutual respect, team orientation and matrix mentality Personal development-oriented culture - self and team Excellent written and verbal communication skills Proficient with Microsoft Excel, Word, and Outlook Organizational skills with great attention to detail Exceptional problem-solving skills Ability to effectively present information to customers, clients, and internal staff members Ability to participate in the selection and development of Sales Talent Conceptual thinker with capability to implement ideas that help support our clients' needs. Able to articulate and understand BioIVT's portfolio. A strong passion to understand customers complex needs and translate that into a product or service that fully responds to that need. A demonstrated ability to understand people and communicate clearly. Demonstrable teamworking skills within a complex commercial environment Organizational skills and attention to detail. Other duties may be assigned. PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee may be required to: stand; walk, sit, stoop, kneel, crouch, crawl, speak, hear/listen, smell, display manual dexterity, reach with hand and arms. Specific vision abilities required by this job include close vision, color vision, depth perception, and ability to adjust focus. The employee must frequently lift and/or move up to 10 pounds and occasionally lift and/or move up to 30 pounds. We offer a comprehensive benefit package for eligible team members, including medical, dental, vision, short-term/long-term disability, life insurance, hospital indemnity and accident insurance. We also provide a generous retirement plan with a company match. Eligible employees enjoy competitive time-off policies and a collaborative environment that promotes growth from within. Enjoy company-sponsored events for the entire team! Join Us! We can't wait to work with you! At BioIVT, we believe that diversity and inclusion are key drivers of innovation and success. We are committed to creating a workplace where everyone feels valued, respected and empowered to bring their unique perspectives to the table. We seek to build a diverse team and encourage applications from people of all backgrounds, experiences and identities. To Learn more about our mission and team culture, click here! BioIVT is an equal opportunity employer. We celebrate diversity and are dedicated to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. We strongly encourage veterans and individuals with disabilities to apply and are committed to providing reasonable accommodations throughout the application and employment process.

Amazon GuardDuty is a threat detection service that continuously monitors, analyzes, and processes AWS data sources and logs to identify unexpected, potentially unauthorized, and malicious activity within customer AWS environments. GuardDuty combines machine learning, anomaly detection, and malicious file discovery, using both AWS and third-party sources to help protect workloads and data across AWS accounts. Amazon GuardDuty is seeking talented Software Development Engineers to join a team in our Los Angeles office!. In this role, you will design, build, and operate highly available, scalable distributed systems that power GuardDuty's Malware protection and Runtime Monitoring products. You will work on challenging problems at the intersection of cloud security, distributed systems, and customer experience - building platforms that serve both internal teams and millions of external AWS customers. You will be a hands-on engineer contributing to the full software development lifecycle - from requirements gathering and system design through implementation, testing, deployment, and operations. You will collaborate closely with security engineers, applied scientists, and product managers to deliver features that protect millions of AWS customers. This is a high-impact role where your work directly contributes to the security posture of AWS customers worldwide. Key job responsibilities - Design, develop, and maintain highly available, scalable distributed systems for GuardDuty's Malware Protection and Runtime Monitoring services - Build and operate metadata services that enrich data for internal GuardDuty teams - Own and evolve the runtime agent provisioning and agent coverage platform across AWS compute services - Own features end-to-end across the full software development lifecycle - from design through deployment and operations - Effectively leverage AI-assisted development tooling to accelerate design, coding, testing, code review, and operational workflows while maintaining a high quality bar - Write high-quality, testable code and participate in design and code reviews, using AI tooling to improve velocity and consistency without compromising correctness or security - Troubleshoot and resolve complex production issues, driving root cause analysis and operational excellence - including using AI tooling to accelerate log analysis, hypothesis generation, and runbook execution - Collaborate with security engineers, applied scientists, and product managers to define technical solutions - Mentor junior engineers on engineering best practices, including responsible and effective use of AI tooling, and contribute to team-wide standards - Contribute to operational excellence through on-call rotations, runbook development, and system monitoring A day in the life As an SDE II on this team, you spend your time designing, building, and operating distributed systems that protect AWS customers from runtime threats at massive scale. On any given day, you might be drafting a design document for a new feature, diving deep into code, reviewing a teammate's pull request, or debugging a production issue - using AI tooling along the way to move faster without cutting corners on quality. You collaborate with security engineers, applied scientists, and product managers to understand their needs and build the right solutions. You participate in operational reviews, contribute to sprint planning, and mentor teammates as part of how the team operates. The work is varied, fast-paced, and high-impact - every line of code you ship helps protect AWS customers. About the team Our team owns two of GuardDuty's core threat detection products: Malware Protection, which scans EC2 workloads, S3 objects for malicious files and supporting AWS Backup and Runtime Monitoring, which uses an eBPF agent to detect threats in real time across EC2, ECS, Fargate, and EKS. We work at the intersection of security research, distributed systems, and operating system internals - protecting AWS customers from the threats that target their compute and data. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Santa Monica - 143 400.00 USD annually

Summary Click on "Learn more about this agency" button below to view Eligibilities being considered and other IMPORTANT information. The primary purpose of this position is to serve as a Senior Air Force (AF) Operations Research Analyst and to provide expertise in initiating, applying, and planning major developmental studies, and providing expert guidance and advice to Air Force headquarters staff, major command (MAJCOM) activities, and/or other agencies. Learn more about this agency Duties Help Employs scientific and analytical techniques to define, quantify, and evaluate the feasibility of assigned projects, studies or problems. Reviews and evaluates study projects, proposals, and/or reports for adequacy of methodology, including the use or development of computerized models, ensuring the techniques used are valid and appropriate to the problem or issue identified. Serves as a consultant and Air Force level technical expert to senior subject matter specialists and/or agency officials responsible for broad program operations. Attends meetings, conferences, briefings, and seminars related to program planning, advanced technologies, and support system concepts. Requirements Help Conditions of employment U.S. Citizenship is required. Males must be registered for Selective Service, see Legal and Regulatory Guidance. If authorized, PCS will be paid IAW JTR and AF Regulations. If receiving an authorized PCS, you may be subject to completing/signing a CONUS agreement. More information on PCS requirements, may be found at: This position is subject to provisions of the DoD Priority Placement Program. For more information on Acq Demo please go to DoD AcqDemo Homepage and Fact Sheet Relocation costs or other incentives may be available and considered by the organization. Position may require an appropriate security clearance. Selectee is expected to be granted with and/or maintain the appropriate security clearance required for the position. Employee must maintain current certifications This position may require drug testing and the candidate may be subject to passing a drug test upon selection. Position may be subject to random drug testing. Employee may be required to work other than normal duty hours, to include evenings, weekends and/or holidays Shift work and emergency overtime may be required Disclosure of Political Appointments All federal employees are required to have direct deposit. This announcement may result in a 120-day register that may be used to fill like vacancies for 120 days after the closing date. Applicants may be referred for consideration as vacancies occur. Depending on the type of position (competitive/excepted) you are selected for, you will be required to serve a 1-year probationary period OR 2-year trial period. Upon completion of your probationary/trial period, your employment will be terminated unless you receive certification, in writing, that your continued employment advances the public interest. This position may require travel. Work may occasionally require travel away from the normal duty station on military or commercial aircraft. This is a Centrally Managed position under the Scientist and Engineer Career Field. This is an acquisition coded position. Selectee must complete required certification level 2 Practitioner in Engineering and Technical Management within 24 months of assignment. Qualifications Experience requirements are described in the Office of Personnel Management (OPM) Qualification Standards for General Schedule Positions, Professional and Scientific positions. BASIC REQUIREMENT OR INDIVIDUAL OCCUPATIONAL REQUIREMENT: DEGREE: A degree in operations research; or at least 24 semester hours in a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject-matter courses requiring substantial competence in college-level mathematics or statistics. At least 3 of the 24 semester hours must have been in calculus. NOTE: You must submit transcripts. EVALUATION OF EDUCATION: The primary requirement of operations research work is competence in the rigorous methods of scientific inquiry and analysis rather than in the subject matter of the problem. Therefore, applicants should have sufficient knowledge of applied mathematics to understand and use the fundamental concepts and techniques of operations research methods of analysis. In addition, some positions may require knowledge of a specific subject area. Courses acceptable for qualifying for operations research positions may have been taken in departments other than Operations Research, e.g., Engineering (usually Industrial Engineering), Science, Economics, Mathematics, Statistics, or Management Science. SPECIALIZED EXPERIENCE: Applicants must have at least 1 year (52 weeks) of specialized experience at the next lower broadband NH-03, equivalent to the next lower grade GS-13 or equivalent in other pay systems. Specialized experience is professional knowledge of a wide range of complex principles, concepts, and practices of operations research analysis to apply scientific methods and techniques to analyze systems, processes, and/or operational problems and procedures. Knowledge, skills, and ability in the application of operations research analysis, and related disciplines, to the identification, assessment and deployment of advance information technologies and new strategies in advancing and promoting analytics-aided decision making. Ability and experience in managing staff, multi-disciplinary technical teams, and resources, as well as in directing program development and execution to support both long-term strategic and near-term goals and objectives. Knowledge of mathematics and analysis to perform complete studies of limited scope or work as a team member on specific problems of a major study, and prepare reports, documentation, and correspondence to communicate recommendations/conclusions clearly. Knowledge of quantitative techniques and methods used to develop, adapt, modify, and apply models to resolve problems or define and clarify alternative solutions. NOTE: Due to the use of 120-day rosters, this period of experience may be completed within 120 days of the closing date of this announcement. KNOWLEDGE, SKILLS AND ABILITIES (KSAs): Your qualifications will be evaluated on the basis of your level of knowledge, skills, abilities and/or competencies in the following areas: Knowledge and mastery of a broad range of methods and techniques used in classical and modern advanced operations research studies and possession of analytical abilities. Knowledge of expert quantitative techniques and methods used to develop, adapt, modify, and apply models to resolve problems or define and clarify alternative solutions. Ability to participate in study teams; originate new ideas, projects, and methodologies; and execute projects and/or studies within established financial and/or time constraints. Ability to recognize and use correct English grammar, punctuation, and spelling; communicate information in writing in a succinct and organized manner; and produce written information, including technical material, which is appropriate for the intended audience. Ability to develop and utilize appropriate data collection techniques. Ability to design, build, and use models and simulation techniques. IDEAL CANDIDATE: The ideal candidate holds a master's degree or higher in Operations Research or a related field, such as statistics, mathematics, or industrial engineering. Has demonstrated supervisory, team-lead, or study-lead experience and can lead digital teams, assess performance, and deliver projects within established schedule and resource constraints. Has experience applying rigorous scientific and analytical methods to define, evaluate, and resolve tactical-to-strategic problems, including validating study methodologies, proposals, reports, and computerized models. The candidate has experience communicating complex technical information clearly and concisely to senior leaders with varied technical backgrounds. Remains current on operations research, data science, and Department of the Air Force analytic capabilities, including data platforms, visualization tools, artificial intelligence, robotic process automation, metadata tagging, and data cataloging. Has a understanding of data security, governance, and stewardship principles and can transform acquisition data into actionable information that supports AI-enabled analysis, visualization, informed decision-making, and process efficiencies. Candidate has developed and managed digital strategies, infrastructure, and tools-including AI agents, machine-learning capabilities, dashboards, and automated workflows-and has led adoption through technology scanning, training, briefings, and change management. Has advised leadership, assessed the maturity and applicability of digital resources, analyzed contract data, and maintained accessible, transparent data tools for the acquisition workforce. PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week. . click apply for full job details

Staff AI Engineer - Enterprise Analysis Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is currently working on building a new AI native platform to empower our broader business community to execute AI assisted analysis across our many lines of business. We are building an AI native, at-scale (15,000+ users at destination), enterprise platform intertwining deterministic code with non-deterministic reasoning systems as well as both frontier and home grown AI models, to transform how our company works in the data analysis space. Capital One is open to hiring a Remote Employee for this opportunity. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying on top of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $244,700 - $279,200 for Distinguished AI Engineer Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation . click apply for full job details

Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Why this Role Matters: We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production grade applications used by millions of users across multiple lines of businesses. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders K8s mastery (multi-region clusters, sericie mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. . click apply for full job details

Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation . click apply for full job details

Staff AI Engineer - Enterprise Analysis Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is currently working on building a new AI native platform to empower our broader business community to execute AI assisted analysis across our many lines of business. We are building an AI native, at-scale (15,000+ users at destination), enterprise platform intertwining deterministic code with non-deterministic reasoning systems as well as both frontier and home grown AI models, to transform how our company works in the data analysis space. Capital One is open to hiring a Remote Employee for this opportunity. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying on top of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $244,700 - $279,200 for Distinguished AI Engineer Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week. Relocation assistance is not available for this position. Job Description The Lead Graph Data Scientist - Identity Analytics is responsible for development and implementing quantitative solutions that improve USAA's ability to detect and prevent identity theft, account takeover, and first-party/synthetic fraud. These solutions range from machine learning model development to enterprise deployment of graph analytics capabilities that protect USAA and our Members from these threats. Strong candidates will be able to deliver the following work products and processes: Develop and continuously update internal identity theft and authentication models to mitigate fraud losses and reduce negative member experience from fraud applications, synthetic fraud, and account takeover attempts Closely partner with the Strategy team, Director of Fraud Identity Analytics, Director of Fraud Model Management, and model users on model builds and priorities. Partner with Technology and other key collaborators to deploy a Member Protection graph technology strategy, including vendor selection, business requirements, data needs, and clear use cases spanning financial crimes Deploy graph databases and graph techniques to identify criminal networks engaging in fraud, scams, disputes/claims, and AML, improving fraud detection and loss mitigation Generate and prioritize fraud-dense rings to mitigate losses and improve Member experience Identify and work with technology to integrate new data sources for models and graphs to augment predictive power and improve business performance Exports insights to decision systems to enable better fraud targeting and model development efforts Drives continuous innovation in modeling efforts including advanced techniques like graph neural networks Develops and mentors junior staff, establishing a culture of R&D to augment the day-to-day aspects of the job What you'll do: Gathers, interprets, and manipulates sophisticated structured and unstructured data to enable sophisticated analytical solutions for the business. Leads and conducts sophisticated analytics demonstrating machine learning, simulation, and optimization to deliver business insights and achieve business objectives. Guides the team selecting the appropriate modeling technique and/or technology with consideration for data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes and peer reviews technical documents for knowledge persistence, risk management, and technical review audiences. Partners with business leaders from across the organization to proactively identify business needs and propose/recommend analytical and modeling projects to generate business value. Works with business and analytics leaders to prioritize analytics and highly sophisticated modeling problems/research initiatives. Leads efforts to build and maintain a robust library of reusable, production-quality algorithms and supporting code to ensure model development and research efforts are transparent and based on highest-quality data. Assists the team with translating business request(s) into specific analytical questions, implementing analysis and/or modeling, and communicating outcomes to non-technical business colleagues with a focus on business action and recommendations. Manages project portfolio milestones, risks, and impediments. Anticipates potential issues that could limit project success or implementation and escalates as needed. Establishes and maintains standard methodologies for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Interacts with internal and external peers and management to maintain expertise and awareness of leading techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to data scientists in modeling, analytics, computer science, business acumen, and other interpersonal skills. Participates in enterprise-level efforts to drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 8 years of experience in predictive analytics or data analysis 6 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more dynamic scripted languages (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Expert ability to write code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Excellent demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Proven ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Project management experience that demonstrates the ability to anticipate and appropriately manage project milestones, risks, and impediments. Demonstrated history of appropriately communicating potential issues that could limit project success or implementation. Expert level experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic models, discriminant analysis, support vector machines, decision trees, and ensemble methods such as Random Forests, XGBoost, LightGBM, and CatBoost. Expert level experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, nearest-neighbors algorithms, DBSCAN, etc. Demonstrated experience in guiding and mentoring junior technical staff in business interactions and model building. Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science. A strong track record of communicating results, insights, and technical solutions to senior executive management (or equivalent). Extensive technical skills, consulting experience, and business savvy to collaborate with all levels and subject areas within the organization. What sets you apart: US military experience through military service or a military spouse/domestic partner Graduate degree in a quantitative subject area Over 5 years of experience with model development or other advanced fraud detection algorithms Over 4 years of experience with graph databases and graph solutions Experience in fraud/financial crimes model development Compensation: The salary range for this position is: $164,780 - $314,960. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. . click apply for full job details

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week. Relocation assistance is not available for this position. Job Description The Lead Graph Data Scientist - Identity Analytics is responsible for development and implementing quantitative solutions that improve USAA's ability to detect and prevent identity theft, account takeover, and first-party/synthetic fraud. These solutions range from machine learning model development to enterprise deployment of graph analytics capabilities that protect USAA and our Members from these threats. Strong candidates will be able to deliver the following work products and processes: Develop and continuously update internal identity theft and authentication models to mitigate fraud losses and reduce negative member experience from fraud applications, synthetic fraud, and account takeover attempts Closely partner with the Strategy team, Director of Fraud Identity Analytics, Director of Fraud Model Management, and model users on model builds and priorities. Partner with Technology and other key collaborators to deploy a Member Protection graph technology strategy, including vendor selection, business requirements, data needs, and clear use cases spanning financial crimes Deploy graph databases and graph techniques to identify criminal networks engaging in fraud, scams, disputes/claims, and AML, improving fraud detection and loss mitigation Generate and prioritize fraud-dense rings to mitigate losses and improve Member experience Identify and work with technology to integrate new data sources for models and graphs to augment predictive power and improve business performance Exports insights to decision systems to enable better fraud targeting and model development efforts Drives continuous innovation in modeling efforts including advanced techniques like graph neural networks Develops and mentors junior staff, establishing a culture of R&D to augment the day-to-day aspects of the job What you'll do: Gathers, interprets, and manipulates sophisticated structured and unstructured data to enable sophisticated analytical solutions for the business. Leads and conducts sophisticated analytics demonstrating machine learning, simulation, and optimization to deliver business insights and achieve business objectives. Guides the team selecting the appropriate modeling technique and/or technology with consideration for data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes and peer reviews technical documents for knowledge persistence, risk management, and technical review audiences. Partners with business leaders from across the organization to proactively identify business needs and propose/recommend analytical and modeling projects to generate business value. Works with business and analytics leaders to prioritize analytics and highly sophisticated modeling problems/research initiatives. Leads efforts to build and maintain a robust library of reusable, production-quality algorithms and supporting code to ensure model development and research efforts are transparent and based on highest-quality data. Assists the team with translating business request(s) into specific analytical questions, implementing analysis and/or modeling, and communicating outcomes to non-technical business colleagues with a focus on business action and recommendations. Manages project portfolio milestones, risks, and impediments. Anticipates potential issues that could limit project success or implementation and escalates as needed. Establishes and maintains standard methodologies for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Interacts with internal and external peers and management to maintain expertise and awareness of leading techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to data scientists in modeling, analytics, computer science, business acumen, and other interpersonal skills. Participates in enterprise-level efforts to drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 8 years of experience in predictive analytics or data analysis 6 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more dynamic scripted languages (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Expert ability to write code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Excellent demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Proven ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Project management experience that demonstrates the ability to anticipate and appropriately manage project milestones, risks, and impediments. Demonstrated history of appropriately communicating potential issues that could limit project success or implementation. Expert level experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic models, discriminant analysis, support vector machines, decision trees, and ensemble methods such as Random Forests, XGBoost, LightGBM, and CatBoost. Expert level experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, nearest-neighbors algorithms, DBSCAN, etc. Demonstrated experience in guiding and mentoring junior technical staff in business interactions and model building. Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science. A strong track record of communicating results, insights, and technical solutions to senior executive management (or equivalent). Extensive technical skills, consulting experience, and business savvy to collaborate with all levels and subject areas within the organization. What sets you apart: US military experience through military service or a military spouse/domestic partner Graduate degree in a quantitative subject area Over 5 years of experience with model development or other advanced fraud detection algorithms Over 4 years of experience with graph databases and graph solutions Experience in fraud/financial crimes model development Compensation: The salary range for this position is: $164,780 - $314,960. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. . click apply for full job details

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week. Relocation assistance is not available for this position. Job Description The Lead Graph Data Scientist - Identity Analytics is responsible for development and implementing quantitative solutions that improve USAA's ability to detect and prevent identity theft, account takeover, and first-party/synthetic fraud. These solutions range from machine learning model development to enterprise deployment of graph analytics capabilities that protect USAA and our Members from these threats. Strong candidates will be able to deliver the following work products and processes: Develop and continuously update internal identity theft and authentication models to mitigate fraud losses and reduce negative member experience from fraud applications, synthetic fraud, and account takeover attempts Closely partner with the Strategy team, Director of Fraud Identity Analytics, Director of Fraud Model Management, and model users on model builds and priorities. Partner with Technology and other key collaborators to deploy a Member Protection graph technology strategy, including vendor selection, business requirements, data needs, and clear use cases spanning financial crimes Deploy graph databases and graph techniques to identify criminal networks engaging in fraud, scams, disputes/claims, and AML, improving fraud detection and loss mitigation Generate and prioritize fraud-dense rings to mitigate losses and improve Member experience Identify and work with technology to integrate new data sources for models and graphs to augment predictive power and improve business performance Exports insights to decision systems to enable better fraud targeting and model development efforts Drives continuous innovation in modeling efforts including advanced techniques like graph neural networks Develops and mentors junior staff, establishing a culture of R&D to augment the day-to-day aspects of the job What you'll do: Gathers, interprets, and manipulates sophisticated structured and unstructured data to enable sophisticated analytical solutions for the business. Leads and conducts sophisticated analytics demonstrating machine learning, simulation, and optimization to deliver business insights and achieve business objectives. Guides the team selecting the appropriate modeling technique and/or technology with consideration for data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes and peer reviews technical documents for knowledge persistence, risk management, and technical review audiences. Partners with business leaders from across the organization to proactively identify business needs and propose/recommend analytical and modeling projects to generate business value. Works with business and analytics leaders to prioritize analytics and highly sophisticated modeling problems/research initiatives. Leads efforts to build and maintain a robust library of reusable, production-quality algorithms and supporting code to ensure model development and research efforts are transparent and based on highest-quality data. Assists the team with translating business request(s) into specific analytical questions, implementing analysis and/or modeling, and communicating outcomes to non-technical business colleagues with a focus on business action and recommendations. Manages project portfolio milestones, risks, and impediments. Anticipates potential issues that could limit project success or implementation and escalates as needed. Establishes and maintains standard methodologies for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Interacts with internal and external peers and management to maintain expertise and awareness of leading techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to data scientists in modeling, analytics, computer science, business acumen, and other interpersonal skills. Participates in enterprise-level efforts to drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 8 years of experience in predictive analytics or data analysis 6 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more dynamic scripted languages (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Expert ability to write code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Excellent demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Proven ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Project management experience that demonstrates the ability to anticipate and appropriately manage project milestones, risks, and impediments. Demonstrated history of appropriately communicating potential issues that could limit project success or implementation. Expert level experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic models, discriminant analysis, support vector machines, decision trees, and ensemble methods such as Random Forests, XGBoost, LightGBM, and CatBoost. Expert level experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, nearest-neighbors algorithms, DBSCAN, etc. Demonstrated experience in guiding and mentoring junior technical staff in business interactions and model building. Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science. A strong track record of communicating results, insights, and technical solutions to senior executive management (or equivalent). Extensive technical skills, consulting experience, and business savvy to collaborate with all levels and subject areas within the organization. What sets you apart: US military experience through military service or a military spouse/domestic partner Graduate degree in a quantitative subject area Over 5 years of experience with model development or other advanced fraud detection algorithms Over 4 years of experience with graph databases and graph solutions Experience in fraud/financial crimes model development Compensation: The salary range for this position is: $164,780 - $314,960. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. . click apply for full job details

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week. Relocation assistance is not available for this position. Job Description The Lead Graph Data Scientist - Identity Analytics is responsible for development and implementing quantitative solutions that improve USAA's ability to detect and prevent identity theft, account takeover, and first-party/synthetic fraud. These solutions range from machine learning model development to enterprise deployment of graph analytics capabilities that protect USAA and our Members from these threats. Strong candidates will be able to deliver the following work products and processes: Develop and continuously update internal identity theft and authentication models to mitigate fraud losses and reduce negative member experience from fraud applications, synthetic fraud, and account takeover attempts Closely partner with the Strategy team, Director of Fraud Identity Analytics, Director of Fraud Model Management, and model users on model builds and priorities. Partner with Technology and other key collaborators to deploy a Member Protection graph technology strategy, including vendor selection, business requirements, data needs, and clear use cases spanning financial crimes Deploy graph databases and graph techniques to identify criminal networks engaging in fraud, scams, disputes/claims, and AML, improving fraud detection and loss mitigation Generate and prioritize fraud-dense rings to mitigate losses and improve Member experience Identify and work with technology to integrate new data sources for models and graphs to augment predictive power and improve business performance Exports insights to decision systems to enable better fraud targeting and model development efforts Drives continuous innovation in modeling efforts including advanced techniques like graph neural networks Develops and mentors junior staff, establishing a culture of R&D to augment the day-to-day aspects of the job What you'll do: Gathers, interprets, and manipulates sophisticated structured and unstructured data to enable sophisticated analytical solutions for the business. Leads and conducts sophisticated analytics demonstrating machine learning, simulation, and optimization to deliver business insights and achieve business objectives. Guides the team selecting the appropriate modeling technique and/or technology with consideration for data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes and peer reviews technical documents for knowledge persistence, risk management, and technical review audiences. Partners with business leaders from across the organization to proactively identify business needs and propose/recommend analytical and modeling projects to generate business value. Works with business and analytics leaders to prioritize analytics and highly sophisticated modeling problems/research initiatives. Leads efforts to build and maintain a robust library of reusable, production-quality algorithms and supporting code to ensure model development and research efforts are transparent and based on highest-quality data. Assists the team with translating business request(s) into specific analytical questions, implementing analysis and/or modeling, and communicating outcomes to non-technical business colleagues with a focus on business action and recommendations. Manages project portfolio milestones, risks, and impediments. Anticipates potential issues that could limit project success or implementation and escalates as needed. Establishes and maintains standard methodologies for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Interacts with internal and external peers and management to maintain expertise and awareness of leading techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to data scientists in modeling, analytics, computer science, business acumen, and other interpersonal skills. Participates in enterprise-level efforts to drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 8 years of experience in predictive analytics or data analysis 6 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more dynamic scripted languages (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Expert ability to write code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Excellent demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Proven ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Project management experience that demonstrates the ability to anticipate and appropriately manage project milestones, risks, and impediments. Demonstrated history of appropriately communicating potential issues that could limit project success or implementation. Expert level experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic models, discriminant analysis, support vector machines, decision trees, and ensemble methods such as Random Forests, XGBoost, LightGBM, and CatBoost. Expert level experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, nearest-neighbors algorithms, DBSCAN, etc. Demonstrated experience in guiding and mentoring junior technical staff in business interactions and model building. Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science. A strong track record of communicating results, insights, and technical solutions to senior executive management (or equivalent). Extensive technical skills, consulting experience, and business savvy to collaborate with all levels and subject areas within the organization. What sets you apart: US military experience through military service or a military spouse/domestic partner Graduate degree in a quantitative subject area Over 5 years of experience with model development or other advanced fraud detection algorithms Over 4 years of experience with graph databases and graph solutions Experience in fraud/financial crimes model development Compensation: The salary range for this position is: $164,780 - $314,960. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. . click apply for full job details

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated AI Data Solutions Scientist in the Technology organization at USAA, you will work within our innovative Data Science team and collaborate cross-functionally with our architecture, engineering, and product partners to transform our operations and experiences while producing actionable insights to drive our association forward. As a member of our dynamic community of problem-solvers, you will tackle a broad and evolving spectrum of business targets to provide outstanding impacts for our membership through scaled solutions and cloud technologies, leveraging both structured and unstructured data through traditional pillars of operations research such as simulation, optimization, and machine-learning techniques, as well as a heavy emphasis on cutting-edge technologies with generative AI, large/small language models, and advanced agent frameworks. This team is the backbone of the next generation of AI modeling at USAA, and we hope you join us on the frontier! We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, or Phoenix, AZ. Relocation assistance is not available for this position. What you'll do: Gather, interpret, and manipulate structured and unstructured data to enable advanced analytical solutions for the business. Develop scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Select the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develop and deploy models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assess business needs to propose/recommend analytical and modeling projects to add business value. Work with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Build and maintain a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translate complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manage project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develop best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintain expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serve as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participate in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, Computer Science, Statistics, Science, Engineering, or quantitative field; OR 4 years of relevant education and/or experience; and 6+ years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, science and engineering, ai, or other similar quantitative discipline and 4+ years of experience in predictive analytics or data analysis. 4+ years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4+ years of experience in Python for performing statical analysis and/or building and scoring AI/ML models Experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics and understanding real-world constraints such as latency, cost, and reliability in AI solution designs. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts across risk stripes, including experience in the documentation and statistical validation of models for risk management. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Expertise in LLMs and agentic systems development with frameworks such as LangChain/LangGraph, AgentCore, VertexAI, MCP, or others, with proven experience including prompt engineering, tuning and post-training techniques, multi-agent systems, agent optimization and tool use, RAG and context optimization, and observability and monitoring. MLOps Integration experience in facilitating engineering implementation of production scaled AI solutions in partnership with dedicated AI Engineers in cloud environments such as AWS or GCP. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. Experience guiding and mentoring junior technical staff in business interactions and model building. What sets you apart: Financial services, insurance, banking, or other highly regulated industry experience. Experience with cloud-native application development and modernization initiatives. US military experience through military service or a military spouse/domestic partner Compensation range: The salary range for this position is: $143,320 - $273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Description Job Description Dark Wolf is seeking a DevSecOps Engineer to support the development and sustainment of a cloud-based data environment utilizing enterprise data science tools to empower data scientists. The successful candidate will coordinate directly with the customer to ensure the continuous uptime of an analytics data platform, driving its migration from legacy on-premise environments to AWS GovCloud. Key responsibilities include ensuring the environment stays updated with the latest versions to maintain security accreditation, as well as executing rigorous patch management, data backup and recovery, and incident response. The team provides support to enhance and develop new data applications, modernizing capabilities through an agile process. This position will call for hybrid support in Tampa, FL. Required Qualifications: Bachelor's degree in IT Computer Science, Mathematics, or equivalent technical area; or in lieu of a degree, 3 years of equivalent industry experience Minimum of 3-5 years of experience in infrastructure engineering or a related field Experience architecting and deploying enterprise-grade AWS cloud infrastructure via Infrastructure as Code, with a strong focus on version management, automated patch management, disaster recovery, and high availability Previous experience developing software in an Agile environment, including applied experience with the Scaled Agile Framework (SAFe) and PI planning Experience deploying and managing Posit data science tools (e.g., Posit Workbench, Posit Connect) within AWS cloud environments to support advanced analytics, AI/ML systems, and data-driven applications. Extensive knowledge of DevOps practices to include microservices architecture, CI/CD pipelines, cloud architecture, Platform as a Service (Kubernetes or PCF), and infrastructure as code Ability to convey complex ideas through conversation, briefings, and writing with clear, concise language DOD 8570 LVL II Certification (CompTIA Security+) US Citizenship and Top Secret clearance with SCI eligibility Desired Qualifications: Experience with managing multiple Neo4j databases across cloud environments to support complex data modeling and enterprise analytics Knowledge of ICD 503 and RMF with previous experience getting Authorization to Operate (ATO) for an application or system Certification in cloud architecture with AWS, GCP, or Azure This position is located in Tampa, FL. The estimated compensation range for this role is $160,000.00 - $180,000.00 commensurate on experience and technical skill set. We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories. We are strictly looking for direct, full-time W2 employees. We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this role. In compliance with federal law, all persons hired will be required to verify identity, confirm US Citizenship, and complete the required employment eligibility verification upon hire.