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McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. Data modeling and design: . click apply for full job details

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. Data modeling and design: . click apply for full job details

Job Description Job Description Details: Posted: 6/3/2026 Level: Administrator IV (SUOAF) Hours: Full-time, 35 hours per week Closing Date: Applications will be accepted until the position is filled, with materials submitted by 5:00pm (EST) on Friday, July 17, 2026 , receiving priority consideration. Location: CSCU System Office 61 Woodland Street Hartford, CT 06105 This position is not remote For more information, please visit the campus website or Connecticut State Colleges & Universities Mission: The Connecticut State Colleges & Universities (CSCU) contribute to the creation of knowledge and the economic growth of the state of Connecticut by providing affordable, innovative, and rigorous programs. Our learning environments transform students and facilitate an ever-increasing number of individuals to achieve their personal and career goals. CSCU Vision: The Connecticut State Colleges and Universities will build on its long and successful history by working collectively - within and across institutions - and by engaging external partners to increase the number of students pursuing and completing personally and professionally rewarding certificate and degree programs, improving their social mobility, and helping the state to meet its current and future workforce demands. CSCU Equity Statement: The Connecticut State Colleges and Universities commits to bold and disruptive change by actively identifying, naming, and dismantling structural racism, systemic poverty, and other barriers; establishing equitable and anti-racist policies and practices; and empowering students, faculty, staff, and administrators to advance racial, social, and economic justice. Our core collective responsibility is to continuously assess practices and policies and transform the world we live in by eliminating inequities. Anticipated Start Date: June 2026Position Summary: Under general supervision, provides technical support and assistance in information systems administration, problem resolution, system testing, development, integration, and security. Assists in designing, developing, testing, deploying, and maintaining technical solutions to enhance information systems. Example of Job Duties: Under the direction of the Senior Systems Development Manager or Designee, the Systems Software & Integration Engineer is responsible for technical support through effective performance in these essential duties: Develops, maintains, performs, or assists with procedures to ensure the integrity of information systems. Assists in design and coordinates with programmers to develop software solutions and integrations. Maintains a thorough understanding of software application subsystems, gauging the impact of system access requests and handling items such as code modification and configuration. Assists with testing, deployment, maintenance of software and database applications and enhancements. Works as a system analyst with key personnel to help define user needs and develop solutions. Coordinates with technical and functional staff to troubleshoot application and database problems. Works with technical and functional staff to analyze, design, construct and implement applications and integrations; helps determine and document business needs and requirements for upgrades and enhancements. Manages moderately complex projects from start to finish, including resource planning. Assists in implementing security policies & procedures, along with investigation and resolution of security incidents, to ensure a stable and secure computing environment. May supervise professional staff and/or student workers. Performs other duties related to those above, which do not alter the basic level of responsibility of the position. This posting includes qualifications, experience and skills but is not limited to the full specifications stated in the job description. Minimum Qualifications: Bachelor's degree in computer science, information systems, or related field. Incumbents are required to have demonstrated advanced knowledge and abilities in the following: Minimum four years of experience in design, implementation, testing, maintenance, and support of information systems in an ERP environment, preferably Ellucian Banner. Hands-on experience with a currently supported version of a Relational Database Management System (RDBMS) such as: Oracle, Microsoft SQL, MySQL, or Postgres using tools such as TOAD or SQL Developer. Experience with one or more RDBMS development languages such as: SQL, PL/SQL, PostgreSQL, or equivalent. Experience in one or more reporting and analytical tools such as Argos, Cognos, PowerBI, or equivalent. Experience in one or more software development methodologies, data modeling, and best practices in software development. Ability to take ownership and manage moderately complex projects from start to completion. Excellent customer service and communication skills. Ability to work with people of various backgrounds and at all levels of technical knowledge. Strong organizational, analytical, and problem-solving skills. Candidates must possess proven ability to effectively work with culturally, linguistically, and ethnically diverse faculty, staff, and students. They are expected to have excellent interpersonal oral and written communication skills along with strong Information technology literacy skills such as Microsoft Office (Word, Excel, Outlook, Teams etc.).Preferred Qualifications: Experience with Unix/Linux operating system in a large-scale, high transactional production environment. Familiarity with web development tools such as: HTML5, CSS, Bootstrap, JSON, Java, JavaScript, AngularJS and RESTful Web Services. Familiarity with NodeJS, React.js and an IDE tool such as Visual Studio. Familiarity with automating batch processes using scheduling tools such as crontab, Automic or ISE (EnterpriseSCHEDULE) or comparable tools. Familiarity with, or ability to learn, portal applications, system integrations/interfaces, and Learning Management systems. Preferred platforms are the Ellucian Experience portal, Ellucian Data Connect, Ellucian Ethos, Intelligent Learning Platform (ILP), and Blackboard. These qualifications may be waived for individuals with appropriate alternate experience.Starting Salary: Minimum Salary; $85,465 approximate annual plus excellent State of CT medical insurance, retirement, and related fringe benefits. The salary will be based on the selected candidate's qualifications such as education and job-related experience, and internal equity. We offer a comprehensive benefits package to help you stay well, protect yourself and your family, and plan for a secure future. Benefits include generous leave policies; several retirement plans; and many choices for comprehensive health insurance. You also have access to many additional benefits to save for retirement, protect your family & more with supplemental benefits. Tuition reimbursement may apply if applicable. Application Instructions: To apply you must submit a cover letter and resume. The cover letter may be entered as text in the corresponding box, or it can be uploaded as a combined file with the resume. Incomplete applications or those submitted after the closing date will not be considered and links to other sources to view resumes are not acceptable. For more information or to apply via our website at Selection Procedure: Following the closing date, application materials will be evaluated by a selection committee. Candidates selected for further consideration will be limited to those applicants who are best qualified based on the minimum and preferred qualifications and who have submitted all the required documents by the closing date and time listed on the job announcement. Candidates who have been selected and approved to interview will be contacted, and finalists will be recommended for further consideration by the Hiring Manager for final selection and recommendation for employment. The selection process may also include practical exercises (i.e., teaching demonstration and/or other written, technical, manipulative, or simulation exercises) to evaluate candidates' qualifications. Background Screening: All employment, if offered, is contingent upon proof of citizenship or employability under the requirement of the Immigration and Control Act (IRCA) and the successful passing of a background check, including granting permission to contact current and previous employers for verification. CSCU is committed to providing a safe campus community. Background investigations include reference checks, a criminal history record check and, when appropriate, a financial (credit) report or driving history check. Continuing Notice of Nondiscrimination CSCU does not discriminate on the basis of race, color, religious creed, age, gender, gender identity or expression, national origin, marital status, ancestry, present or past history of mental disorder, learning disability or physical disability, veteran status, sexual orientation, genetic information or criminal record. For inquiries regarding the non-discrimination policies, please contact . CSCU IS AN AFFIRMATIVE ACTION/EQUAL OPPORTUNITY EMPLOYER, M/F Powered by JazzHR 0hfT9CfgaF

Job Description Job Description COMPANY: Canoe Intelligence WEBSITE : TITLE: Sr. Machine Learning Engineer LOCATION: Hybrid in New York City or London SALARY : $180,000 - $220,000 (based on NYC, will be adjusted for geo) The Role: We are looking for a Senior Machine Learning Engineer to design and deploy models that make sense of highly complex, unstructured financial documents, enabling us to deliver data with unprecedented accuracy, speed, and trust. You'll work hands-on with LLM and other ML Models, helping scale Canoe's platform while shaping how alternative investment firms interact with their data. What You'll Do: Design, train, and evaluate ML models for document classification, entity extraction, summarization, and information retrieval. Fine-tune and optimize large language models for domain specific use cases, optimizing their performance for accuracy, efficiency, and scalability. Work closely with data engineering teams to preprocess and engineer features from large datasets to enhance the performance of machine learning models. Build scalable, production-ready ML services with strong observability, monitoring, and retraining capabilities. Contribute to Canoe's MLOps stack, including CI/CD for models, feature stores, evaluation frameworks, and data versioning. Collaborate with product managers, software engineers, and other stakeholders to integrate machine learning models into end-to-end solutions. Stay current with advancements in LLMs, Agentic AI, and ML, and translate new research into practical improvements to Canoe's technology stack. Conduct code reviews to ensure code quality and provide mentorship to junior members of the machine learning team. What We're Looking For: Minimum of 5 years of experience in applied ML engineering, with a focus on NLP, information extraction, or LLMs. Proficiency in Python and relevant machine learning libraries (e.g., TensorFlow, PyTorch). Strong understanding of MLOps (Docker, Kubernetes, CI/CD for ML, experiment tracking). Proficiency with AI-assisted development tools (e.g., GitHub Copilot, Claude Code agent) to accelerate software development, prototyping, testing, and deployment of ML solutions. Problem-solver with a product mindset and bias toward outcomes. Excellent communication skills; able to partner across engineering, product, and business teams. Comfortable in fast-paced, agile startup environments. Bachelor's degree in computer science or related field. Preferred Master Degree or PhD in computer science or related field Experience in training and deploying large language models. Familiarity with cloud computing platforms and distributed computing. Familiarity with modern ML Ops tools such as Modal, Weights and Biases, Sagemaker, etc. Experience with LLM fine-tuning techniques such as LoRA, QLoRA, or parameter-efficient training frameworks (e.g., Unsloth). What You'll Get: Medical, dental, vision benefits Flexible PTO 401(k) Flexible work from home policy Home office stipend Employee Assistance Program Gym/Wifi reimbursement Education assistance Parental Leave Our Values: Client First -> Listen, and deliver client-centric solutions Be An Owner -> Take initiative, improve situations, drive positive outcomes Excellence -> Always set the highest standard for yourself and others Win Together -> 1 + 1 = 3 Who We Are: Canoe is reimagining alternative investment data processes for hundreds of leading institutional investors, capital allocators, asset servicing firms and wealth managers. By combining industry expertise with the most sophisticated data capture technologies, Canoe's technology automates the highly-frustrating, time-consuming, and costly manual workflows related to alternative investment document and data management, extraction and delivery. With Canoe, clients can refocus capital and human resources on business performance and growth, increase efficiency, and gain deeper access to their data. Canoe's AI-driven platform was developed in 2013 for Portage Partners LLC, a private investment firm. Canoe is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Job Description Job Description Company Description StockStory, now part of CNBC under VERSANT, is building the next generation of AI-powered equity research for individual investors. This is a chance to build products that can shape how millions of consumers understand markets and make investing decisions. VERSANT is an independent, publicly traded company that brings together powerhouse brands such as CNBC, MS NOW (formerly MSNBC), USA Network, Oxygen, E!, SYFY, and Golf Channel along with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, and GolfPass. We offer the best parts of a startup environment - small team, high ownership, fast execution, and room to experiment - with the backing and stability of VERSANT, an independent publicly traded media company. Job Description Senior AI Engineer We're looking for a highly capable Senior AI Engineer to join our team to build the next generation of AI-powered equity research. This role is hybrid, 3 days in office. This role is for engineers who enjoy turning LLM and agentic AI capabilities into reliable product systems embedded in real-world workflows. It is especially well suited to people who want to work hands-on across architecture, implementation, and operations while helping define how AI capabilities get integrated into products used by individual investors. You will be joining a team of exceptional engineers, analysts, and investors working at the intersection of AI and public markets. A particularly rare part of this role is the level of direct access to experienced market professionals, including former hedge fund managers and top-tier analysts, whose insights can directly inform how you think about modeling, signals, and product design. For an ambitious AI engineer, it is an unusual opportunity to work with cutting-edge LLMs and advanced data systems while learning firsthand how sophisticated investors analyze businesses and markets. You will design, build, and operate core components of our AI platform: distributed agentic workflows, retrieval and reranking systems, model integrations, and the infrastructure required to make these systems reliable, observable, and scalable in production. This role sits within a small and growing, high-caliber team where individuals are expected to operate with a high degree of ownership and autonomy, contributing directly to core product, engineering, and AI systems decisions while working closely with peers, product stakeholders, and senior leadership in a highly collaborative, low-bureaucracy environment with direct access to decision-makers. A genuine interest in investing, public markets, and fundamental business analysis is expected. What We're Looking For: Bachelor's degree in Computer Science or equivalent practical experience Minimum of 5 years of experience designing, building, and maintaining software systems Strong backend expertise in at least one strongly typed language, preferably TypeScript Solid understanding of cloud computing primitives, especially AWS Strong understanding of agentic AI concepts such as tool use, function calling, state machines or graphs, retrieval and reranking, structured outputs, memory, guardrails, and evaluation Experience developing and deploying agentic workflows using frameworks such as LangChain, Mastra, or LangGraph Experience contributing to system design and technical decision-making Experience shipping and operating multiple GenAI or LLM-powered systems in production Hands-on experience debugging scaled LLM systems and participating in incident response Experience building RAG pipelines using embeddings and vector databases Familiarity with fine-tuning or adapting models for specific tasks Experience implementing evaluation pipelines, including human-in-the-loop workflows Experience building or maintaining evaluation suites for agentic systems in production What You'll Do: Build end-to-end distributed agentic AI solutions that are reliable and scalable Own complex features or subsystems from design through deployment and operation Collaborate cross-functionally to integrate AI capabilities into products and data pipelines Contribute to architectural decisions and technical standards for AI systems Maintain observability and operational health, including cost metrics, quality monitoring, drift detection, alignment, alerting, and incident response Support the team's overall technical growth Identify and mitigate risks in AI systems, including performance regressions, bias, and operational issues Use and improve model lifecycle management, monitoring, and evaluation frameworks Location: At CNBC Headquarters in Englewood Cliffs, NJ, you'll have access to great perks and amenities: • Sweat it out Free onsite fitness center with state-of-the-art equipment, plus daily group classes • Eat up Gourmet cafeteria with daily specials plus soup and salad bars • Extras Dry cleaning, shoe shining and sneak peeks • Don't have a car? No problem! We offer free shuttle transportation to and from multiple locations in Manhattan, Brooklyn, Hoboken and Jersey City In addition to these benefits, employees in this group will be joining at a time of meaningful and continued investment in data, technology, and product development, with the opportunity to contribute to a growing team within CNBC that is expected to scale significantly over time, offering meaningful exposure to senior leadership and the ability to influence how the platform evolves. Qualifications What We're Looking For: Minimum of 5 years of experience in software engineering, with a strong track record of building and shipping production systems Proven experience designing and deploying LLM-based or GenAI systems in real-world applications Strong programming skills in Python and experience with modern backend architecture and distributed systems Understanding of LLM workflows, including prompting, tool use, retrieval-augmented generation (RAG), and evaluation methodologies Experience building scalable data pipelines and working with large, messy, or unstructured datasets Ability to design systems with strong observability, reliability, and performance characteristics in mind Experience working in cross-functional environments and leading technical projects end-to-end Strong problem-solving skills and ability to operate independently in ambiguous, fast-moving environments Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders Demonstrated interest in financial markets, investing, or business analysis Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.

Job Description Job Description Senior Software Engineer, Reliability Remote, US About Nametag Nametag is building the future of secure digital identity. Our mission is to make it easy for people and organizations to prove who they are online, safely and seamlessly. We're pioneering next-generation identity verification and account protection so that users can control their own identity, and companies can build trust without friction. By enabling trust at scale, we help enterprises reduce fraud, streamline onboarding, and deliver secure user experiences that customers love. The Role We're looking for a Senior Software Engineer to own infrastructure, reliability, and platform engineering at Nametag. You'll design and scale the systems that keep our identity verification platform fast, secure, and always available, and build the tooling that makes our engineering team more productive and autonomous. This is a hands-on, high-impact role. You'll work closely with engineering and product leadership to make critical decisions about how we build, deploy, and operate our systems, and then execute on them. If you've thrived in fast-moving environments and care deeply about uptime, correctness, and developer experience, we'd love to meet you. What You'll Do Infrastructure & Reliability Design, build, and maintain scalable, cost-effective cloud infrastructure across AWS and Fly.io. Own deployment strategy and service design across our monolith and microservices, including schema migrations and rollout safety. Manage infrastructure-as-code (CloudFormation, Terraform or equivalent) for reproducible, auditable infrastructure. Identify reliability risks, performance bottlenecks, and security gaps, and address them proactively. Observability & Incident Response Evolve our observability stack: logging, distributed tracing, metrics, and uptime monitoring. Evolve on-call practices and incident response processes that keep us ahead of customer-impacting issues. Champion a culture of reliability: postmortems, runbooks, and continuous improvement after incidents. Developer Enablement Manage and improve our CI/CD pipelines (GitHub Actions) and establish deployment best practices. Build internal platform tooling and abstractions that reduce toil and increase engineering velocity. Partner with product engineers to make infrastructure easy to use correctly and hard to use incorrectly. Data & ML Infrastructure Design and operate data pipelines that support our ML-powered verification systems. Evolve our MLOps infrastructure so models can be trained, evaluated, and deployed safely and repeatedly. Collaboration & Leadership Work closely with engineering and product leadership on technical roadmap decisions. Review code, mentor peers, and help raise the bar on security, reliability, and operational discipline. Communicate infrastructure tradeoffs clearly across technical and non-technical stakeholders. Ideal Qualifications Work Authorization (Required): Applicants must be legally authorized to work in the United States for any employer without current or future need for visa sponsorship. This is a firm requirement. The technical qualifications below are guidelines. We know that no candidate will perfectly match every requirement, and that's okay. If you're passionate about what we're building and have most of the skills below, we'd love to hear from you. Cloud & Infrastructure: Hands-on experience managing and securing cloud infrastructure. AWS required; Fly.io or similar a plus. Infrastructure-as-Code: Production experience with Terraform or equivalent tools. Databases: Deep experience with PostgreSQL, including schema design, migrations, and query performance tuning. CI/CD: Strong experience designing and managing pipelines, GitHub Actions preferred. Languages: Proficiency in modern, type-safe languages. Go strongly preferred. Observability: Experience building and operating logging, tracing, and metrics systems in production. MLOps & Data Pipelines: Prior experience shipping ML infrastructure into production, not just experimentation. Startup experience: You've worked at an early-stage company and know what it means to move fast without compromising the things that matter. Security: Security-minded by default. You design with the threat model in mind, not as an afterthought. What We Value Intellectual horsepower. Quickly grasping complex technical and business concepts. Kindness and integrity. Earning trust is central to how we build relationships with customers and colleagues. Bias for action. We move quickly to deliver impact and protect our customers against fast-moving threats. Ownership mindset. You care about uptime and stability the way a founder cares about the product. Compensation The base salary range for this full-time position is $120,000 to $190,000, plus equity and benefits. Nametag is a founding member of the Open Imperative, publicly committed to pay equity in the technology industry. We post positions with ranges to encourage people of different backgrounds and experiences to apply. Every offer is benchmarked against market data to ensure fairness and consistency. Final compensation is determined by role, level, and additional factors such as skills, experience, and education. Your recruiter or hiring manager can share more details during the hiring process. Culture & Perks At Nametag, we believe trust starts with how we treat each other. We're a remote-first team that values autonomy, inclusivity, and collaboration, with regular in-person time to stay connected and innovate together. Remote-first: Work from anywhere in the US. Our team spans Seattle, San Francisco, Ann Arbor, Denver, New York City, and beyond. Off-sites: We bring the team together once per quarter for in-person collaboration, often off-site in new places. Flexible schedules: Work in your own time zone; we align key meetings across a shared window. We Offer Competitive salary Meaningful equity ownership Comprehensive health benefits (medical, dental, vision) Flexible paid time off Quarterly team off-sites and travel support New computer hardware and equipment An inclusive environment where your voice has impact and your work drives change

Job Description Job Description Company Description About StockStory VERSANT is an independent, publicly traded company that brings together powerhouse brands such as CNBC, MS NOW (formerly MSNBC), USA Network, Oxygen, E!, SYFY, and Golf Channel along with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. StockStory, now part of CNBC under VERSANT, is building the next generation of AI-powered equity research for individual investors. This is a chance to build products that can shape how millions of consumers understand markets and make investing decisions. We offer the best parts of a startup environment - small team, high ownership, fast execution, and room to experiment - with the backing and stability of VERSANT, an independent publicly traded media company. The work spans cutting-edge LLMs / ML, large-scale data systems, financial reasoning, and research tooling, with opportunities to apply ideas from functional programming and graph-based systems where they create real advantage. You will be joining a team of exceptional engineers, analysts, and investors working at the intersection of AI and public markets. A particularly rare part of this role is the level of direct access to experienced market professionals, including former hedge fund managers and top-tier analysts, whose insights can directly inform how you think about modeling, signals, and product design. For an ambitious AI engineer, it is an unusual opportunity to work with cutting-edge technology and advanced data systems while learning firsthand how sophisticated investors analyze businesses and markets. Job Description StockStory, now part of CNBC under VERSANT, is building the next generation of AI-powered equity research for individual investors. This is a chance to build products that can shape how millions of consumers understand markets and make investing decisions. We offer the best parts of a startup environment - small team, high ownership, fast execution, and room to experiment - with the backing and stability of VERSANT, an independent publicly traded media company. As a Senior ML Engineer, working in a team of 15 you will work on both an existing AI product with real user impact and greenfield projects with significant room for exploration. The work spans cutting-edge LLMs / ML, large-scale data systems, financial reasoning, and research tooling, with opportunities to apply ideas from functional programming and graph-based systems where they create real advantage. You will be joining a team of exceptional engineers, analysts, and investors working at the intersection of AI and public markets. A particularly rare part of this role is the level of direct access to experienced market professionals, including former hedge fund managers and top-tier analysts, whose insights can directly inform how you think about modeling, signals, and product design. For an ambitious AI engineer, it is an unusual opportunity to work with cutting-edge technology and advanced data systems while learning firsthand how sophisticated investors analyze businesses and markets. Qualifications What You'll Do: This role is for engineers who enjoy turning machine learning and AI capabilities into reliable product systems used by real customers at scale. It is especially well suited to people who want to work across the full stack of applied ML, from data pipelines and model training to inference, evaluation, and production operations. You will design, build, and operate core components of our AI platform: production-grade ML systems, LLM workflows, and supporting infrastructure that power core user experiences for individual investors. This role sits within a small and growing, high-caliber team where individuals are expected to operate with a high degree of ownership and autonomy, contributing directly to core product, engineering, and modeling decisions while working closely with senior leadership in a highly collaborative, low-bureaucracy environment with direct access to decision-makers. Design, implement, and maintain production ML and AI systems used at scale Own end-to-end delivery of AI features from data pipelines and training workflows to inference and monitoring Contribute to architectural decisions and technical standards and mentor peers to elevate ML quality Solve complex technical problems with moderate ambiguity and strong business impact Participate in code reviews and incident retrospectives to improve system quality and reliability Support the team's overall technical growth Identify and mitigate risks in AI systems, including performance regressions, bias, and operational issues Use and improve model lifecycle management, monitoring, and evaluation frameworks Hands-on experience with neural networks, including CNNs, RNNs, Transformers, or other deep learning architectures Background in classical and modern NLP techniques such as tokenization, sequence labeling, language modeling, embeddings, text classification, and information extraction Experience with training pipelines using frameworks such as TensorFlow or PyTorch Experience building human-in-the-loop training or evaluation workflows A genuine interest in investing, public markets, and fundamental business analysis is expected. Requirements: Bachelor's degree in Computer Science or equivalent practical experience Minimum of 5 years of experience in software engineering with a focus on machine learning or AI systems Experience building and operating production ML systems Strong proficiency in Python, TypeScript, or Java Proven experience with LLMs, ranking or recommendation systems, search, or applied NLP Solid understanding of modern ML techniques, including deep learning and representation learning Experience contributing to system design and technical decision-making Location: Hybrid 3 days in office At CNBC Headquarters in Englewood Cliffs, NJ, you'll have access to great perks and amenities: • Sweat it out Free onsite fitness center with state-of-the-art equipment, plus daily group classes • Eat up Gourmet cafeteria with daily specials plus soup and salad bars • Extras Dry cleaning, shoe shining and sneak peeks • Don't have a car? No problem! We offer free shuttle transportation to and from multiple locations in Manhattan, Brooklyn, Hoboken and Jersey City In addition to these benefits, employees in this group will be joining at a time of meaningful and continued investment in data, technology, and product development, with the opportunity to contribute to a growing team within CNBC that is expected to scale significantly over time, offering meaningful exposure to senior leadership and the ability to influence how the platform evolves. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.

Job Description Job Description What you'll be part of Garner is on a mission to transform the U.S. healthcare system - and we're the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare "win win" - better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. - and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking a Senior Site Reliability Engineer to own the reliability, performance, and resilience of the cloud infrastructure powering Garner's products and AI/ML workloads. This role sits on our Platform Engineering team. You will run the machine: defining and upholding SLOs, leading incident response, and driving the automation and standards that let every Garner engineer ship faster and more reliably. Because our systems directly influence health outcomes for millions of patients, maintaining the highest standards of production quality is imperative. This is an automation-first role: you will use AI tools to continuously convert manual operational work into monitored, hands-free processes, so the role gets more leveraged as you build. Where you will work: Garner is headquartered in NYC, but this position is available for individuals who are comfortable with remote work and occasional travel to HQ. What you will do: Run the Machine: Own the end-to-end reliability, performance, and resilience of Garner's cloud environments (AWS, Kubernetes), including those powering AI/ML workloads; define, measure, and uphold SLOs across our critical services. Lead Incident Response: Serve in the on-call rotation, lead incident response, and drive deep-dive root cause analysis, seeing corrective actions through to resolution and rigorously reviewing infrastructure changes. Own Observability: Build and maintain the monitoring, alerting, and observability systems that let us detect and resolve issues before users feel them. Scale & Optimize: Translate ambiguous, high-performance scaling requirements into well-defined, automated, and composable infrastructure-as-code deliverables (Terraform); proactively identify and implement cost-efficiency and performance gains across the stack to maximize cloud ROI. Automate Away Toil: Pay down impactful tech debt and reduce operational toil, using AI tools and automation to convert repetitive operational work into hands-free, monitored processes, and holding our internal platform to the same rigorous standards as our customer-facing products. Enable Engineering: Build and maintain the deployment and observability standards that empower the broader engineering team to ship AI features faster and more reliably; communicate complex cloud and reliability concepts clearly to technical and non-technical stakeholders. Uphold Security & Compliance: Ensure our infrastructure and operations meet Garner's security and HIPAA compliance obligations. The ideal candidate has: 4+ years of hands-on experience operating production cloud infrastructure at scale in an SRE, DevOps, or platform engineering role. Deep expertise with Kubernetes and Terraform in a cloud-first environment (AWS preferred). A strong track record with production observability: defining SLOs, building monitoring and alerting, and leading incident response and blameless post-incident reviews. Strong software engineering fundamentals in Python or Go, applied to infrastructure automation (experience with Kubernetes APIs a plus). Experience driving cloud cost-efficiency and performance optimization across compute, storage, and networking. Experience supporting AI/ML or data-intensive workloads in production is a plus. Experience operating in a security-conscious or regulated environment (HIPAA, SOC 2) is a plus. Fluency with AI tools (e.g., Claude) applied to real engineering and operations workflows, or strong motivation to build it fast. A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback. Technologies we use: AWS, Kubernetes, Terraform, Istio, Python, Go, TypeScript, Postgres, NATS, Datadog, GitLab This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. We are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation Transparency: The target range for this position is 191 000.00. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use and email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at .

Job Description Job Description Role: Mid - Senior Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,() is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company - we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence: Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. Requirements: Degree in Computer Science, Engineering, Statistics, or a related technical field. Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains. Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings. Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems. Strong foundational understanding of algorithmic complexity and data structure optimization. Excellent problem-solving, collaboration, and communication abilities. Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects. Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn). Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures. Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices. Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team. Ensure all AI implementations are compliant with ethical guidelines and data privacy standards. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Job Description Job Description Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values-Stay Curious, Have Empathy, and Be Accountable-and are ready to make a significant impact, we encourage you to apply. Your Role: As a Site Reliability Engineer at Alpaca, you'll help keep our brokerage platform reliable, observable, and operable as we grow - working across our cloud infrastructure, Kubernetes platform, observability stack, messaging layer, and data layer. We're especially interested in candidates with strong PostgreSQL fundamentals who'd like to grow into deeper ownership of our database reliability posture: PostgreSQL sits on the trading-critical path, and we want this person to spend a meaningful share of their time leveling it up while still being a well-rounded SRE the rest of the week. Things You Get To Do Operate production day-to-day - oncall, incident response, postmortems, and the follow-ups that actually close the loop. Own reliability practice - define and refine SLIs/SLOs and error budgets, and help product teams live within them. Strengthen our observability across metrics, logs, traces, and alerting. Ship infrastructure through code in a GitOps workflow - cloud resources and Kubernetes workloads alike. Look after PostgreSQL : performance tuning, schema and migration review, online migrations on large tables, HA/DR, and CDC pipelines. Mentor engineers on reliability and database fundamentals through code review, design review, and pairing. Who You Are (must-haves) 4+ years in SRE, DevOps, Platform/Infrastructure, or backend engineering with significant production operations ownership. Hands-on experience operating production services on Kubernetes , and shipping infrastructure as code in a GitOps workflow. Solid working knowledge of PostgreSQL in production - query plans, pg_stat_ , indexing and schema trade-offs, and what a safe online migration looks like on a non-trivial table. Cloud networking fundamentals (VPCs, routing, L4/L7 load balancing, DNS, TLS) and comfort debugging cross-service connectivity. Comfortable with a modern observability stack and proficient with Linux at the operator level. Practiced in incident response - calm under pressure, structured debugging, postmortems that drive change. At least working proficiency in Go or Python , plus strong written and verbal communication. Genuine interest in databases and in growing your PostgreSQL/DBA expertise. Who You Might Be (Nice-to-Haves): Deeper PostgreSQL experience: large clusters at OLTP load, online migrations on big tables, HA/DR ownership, connection pooling at scale, or change-data-capture pipelines. Experience with typed SQL access layers in Go (e.g. pgx, gorm, sqlc). Production experience with messaging systems at scale (e.g. RabbitMQ, Kafka, Redpanda). Security & compliance experience in a regulated environment (SOC 2, secrets management, audit logging). Familiarity with trading, brokerage, or other regulated fintech domains. How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy

Job Description Job Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . About the Role CoreWeave's MetalDev team is seeking an experienced Senior Operations Engineer to join the MetalDev Operations team. Reporting to the Engineering Manager, this hands-on technical role focuses on service reliability, observability, and operational excellence. You will develop deep expertise in the Redfish-based services and automation tools used by frontline operations teams during data center bring-ups and in production environments. You will identify gaps in tooling and operational processes, partner with the engineering team to develop and validate fixes, and help ensure our automation operates reliably at scale. You will also submit change requests to hardware and firmware vendors, validate vendor-provided fixes, and continuously improve runbooks and on-call documentation to reduce recurring incidents and operational toil. In this role, you will work with cutting-edge infrastructure, including high-performance NVIDIA GPU servers, Cooling Distribution Units (CDUs), NVLink switches, and power shelves supporting GB200 and GB300 Vera Rubin NVL72 systems and custom in-house hardware. You will collaborate closely with the Hardware Engineering, Fleet Operations, and the Service Engineering teams. Approximately 80% of the role will focus on day-to-day operations, production support, and incident response. The remaining 20% will focus on improving operational processes, observability, documentation, and remediation capabilities and automation to prevent recurring incidents and increase service reliability. Key Responsibilities Triage and Troubleshooting Troubleshoot the team owned services, including initialization and reboot issues. Diagnose problems involving BMCs of, servers, DPUs, power shelves, Cooling Distribution Units (CDUs). Monitor fleet health, identify unhealthy devices, and coordinate remediation using established tools and procedures. Partner with Fleet Operations and other engineering teams to resolve complex or recurring production issues. Perform root-cause analysis and post-incident reviews, ensuring corrective actions are documented, tracked, and completed. Maintain clear incident communications, runbooks, escalation procedures, and operational records. Support the team owned services in production environments and participate in the team's on-call rotation. Observability, Reliability, and Vendor Partnerships Own monitoring, dashboards, alerts, and operational KPIs for the team owned services using Prometheus and Grafana. Define reliability objectives and drive measurable reductions in incidents, escalations, and recurring support requests. Investigate hardware, firmware, and issues in partnership with internal engineering teams and external vendors. Manage vendor support cases involving BMCs, servers, power systems, and cooling infrastructure. Collect and provide diagnostic data, track issues through resolution, and validate vendor fixes before production rollout. Documentation and Continuous Improvement Create and maintain operational documentation, troubleshooting guides, escalation procedures, and service-support materials. Capture and share incident findings and operational knowledge across the team and partner teams. Identify repetitive operational tasks and develop more efficient, consistent remediation processes. Evaluate team processes using operational data and incident trends, and recommend improvements. Minimum Qualifications 5+ of experience in cloud operations, site reliability engineering (SRE), infrastructure operations, or a related technical field. Working knowledge of Kubernetes and at least one public cloud platform, such as AWS or GCP. Experience deploying and supporting containerized applications in Kubernetes environments. Experience with incident management practices, including incident response, escalation, and post-incident review processes. Experience using Prometheus, Grafana, and PromQL for monitoring, alerting, and troubleshooting. Strong knowledge of Linux system administration and internals and scripting. Experience troubleshooting complex issues across software services, operating systems, networks, and physical infrastructure. Experience participating in an on-call rotation supporting production services. Strong analytical and problem-solving skills, with a methodical approach to troubleshooting. Excellent written and verbal communication skills, particularly during high-impact incidents. Strong documentation skills and attention to detail. Preferred Qualifications Experience with server hardware, BMCs, Redfish, IPMI, or hardware-management services. Experience troubleshooting server provisioning, reboot, provisioning, or lifecycle-management failures. Familiarity with high-performance computing, GPU infrastructure, DPUs, or large-scale AI clusters. Experience working in data center environments, including server racks, power-distribution equipment, and cooling systems. Experience collaborating directly with hardware or firmware vendors to qualify and validate fixes. Bachelor's degree in computer science, engineering, or a related discipline-or equivalent practical experience. Understanding of Python or Golang. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You enjoy working close to the hardware and are curious about how GPUs, servers, and data centers fit together. You thrive in infrastructure environments where reliability, performance, and automation matter as much as features. You like collaborating across hardware, platform, and product teams to solve complex, ambiguous problems. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $109,000 to $179,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace . click apply for full job details

Job Description Job Description Senior .NET Engineer (multiple) U.S.-Based Applicants Only authorized to work for any employer (NO Sponsorship Provided) Referral Bonus Available - bring a friend! TeamBuilder is a rapidly growing healthcare SaaS company on a mission to modernize healthcare scheduling and workforce management. We are builders, executors, and big thinkers who want to solve real world problems. We win as one team. We're actively looking for multiple Senior .NET Engineers who want to take your engineering team to the next level. The ideal candidate thrives in a growing, tight-knit, fast paced environment and has experience scaling from zero to hundreds of thousands of users efficiently and cost effectively. Key personal attributes Quick study who can hit the ground running Strong critical thinker that can balance competing priorities Comfortable presenting, and pressure testing ideas You take pride in the quality and resiliency of your code - even when using AI You lead by example (not just by title) Equally committed to making your teammates successful (as yourself) Comfortable navigating uncertainty and trying new approaches You care as much about optimization, reliability and scalability as you do about building new things You like to ship working solutions with modern technology without overengineering Required skills/experience/qualifications Excellent written and verbal communication skills Experience working in teams with a mixture of onshore/offshore contributors A strong individual contributor but also able to effectively coach and unlock others Bachelor's degree in Computer Science, Software Engineering, or related field In-depth understanding of software engineering design and architectural patterns, including microservice architectures Adept at applying GenAI workflows to enhance your software development and testing efforts 8+ years' professional experience with .NET stack (C#, .NET, Entity Framework), SQL, and Redis 3+ years experience working with SignalR and Distributed Event Bus 3+ years' experience implementing Domain Driven Design (DDD) patterns 3+ years experience configuring and maintaining Microsoft Azure cloud services Advanced understanding of and ability to effectively use Git to manage code in a multi-developer environment Strong familiarity using and configuring CI/CD pipelines, ideally in Microsoft DevOps Nice to have You've come from a start-up that serves large enterprise clients Master's or other postgraduate degree Some exposure to machine learning / AI React / NextJS frontend skills Big data / analytics Principal duties and responsibilities Help drive technical excellence and standards within the team Develop well-written and documented code in both existing and new systems and platforms Support ongoing monitoring, maintenance and support of key infrastructure Design and apply manual tests and test-automation suites to minimize defects Provide sound recommendations on architectural choices leveraging significant prior experience and analysis of technical/business goals Develop well-written technical documentation to clarify requirements, improve code traceability, and enable cross-pollination of knowledge Apply good practice methodologies and techniques, such as story points, to quantify and estimate effort as accurately as possible Consistently attend sprint planning and stand-up calls to ensure alignment of priorities and effective troubleshooting support Proactively communicate feedback, issues, risks and status in a timely manner Assist in the training and development of other engineers Collaborate cross-functionally with product owners, data scientists, business users, project managers, and other engineers to achieve overall engineering and company goals effectively and in a timely manner Research and learn new technologies as needed to deliver technical solutions Actively participate in retrospectives of work done that assess code quality, system design, infrastructure, development processes, or client and consumer concerns Compensation / Benefits Powered by JazzHR azf7ADhdlq

Job Description Job Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . About the Role CoreWeave's MetalDev team is seeking an experienced Senior Operations Engineer to join the MetalDev Operations team. Reporting to the Engineering Manager, this hands-on technical role focuses on service reliability, observability, and operational excellence. You will develop deep expertise in the Redfish-based services and automation tools used by frontline operations teams during data center bring-ups and in production environments. You will identify gaps in tooling and operational processes, partner with the engineering team to develop and validate fixes, and help ensure our automation operates reliably at scale. You will also submit change requests to hardware and firmware vendors, validate vendor-provided fixes, and continuously improve runbooks and on-call documentation to reduce recurring incidents and operational toil. In this role, you will work with cutting-edge infrastructure, including high-performance NVIDIA GPU servers, Cooling Distribution Units (CDUs), NVLink switches, and power shelves supporting GB200 and GB300 Vera Rubin NVL72 systems and custom in-house hardware. You will collaborate closely with the Hardware Engineering, Fleet Operations, and the Service Engineering teams. Approximately 80% of the role will focus on day-to-day operations, production support, and incident response. The remaining 20% will focus on improving operational processes, observability, documentation, and remediation capabilities and automation to prevent recurring incidents and increase service reliability. Key Responsibilities Triage and Troubleshooting Troubleshoot the team owned services, including initialization and reboot issues. Diagnose problems involving BMCs of, servers, DPUs, power shelves, Cooling Distribution Units (CDUs). Monitor fleet health, identify unhealthy devices, and coordinate remediation using established tools and procedures. Partner with Fleet Operations and other engineering teams to resolve complex or recurring production issues. Perform root-cause analysis and post-incident reviews, ensuring corrective actions are documented, tracked, and completed. Maintain clear incident communications, runbooks, escalation procedures, and operational records. Support the team owned services in production environments and participate in the team's on-call rotation. Observability, Reliability, and Vendor Partnerships Own monitoring, dashboards, alerts, and operational KPIs for the team owned services using Prometheus and Grafana. Define reliability objectives and drive measurable reductions in incidents, escalations, and recurring support requests. Investigate hardware, firmware, and issues in partnership with internal engineering teams and external vendors. Manage vendor support cases involving BMCs, servers, power systems, and cooling infrastructure. Collect and provide diagnostic data, track issues through resolution, and validate vendor fixes before production rollout. Documentation and Continuous Improvement Create and maintain operational documentation, troubleshooting guides, escalation procedures, and service-support materials. Capture and share incident findings and operational knowledge across the team and partner teams. Identify repetitive operational tasks and develop more efficient, consistent remediation processes. Evaluate team processes using operational data and incident trends, and recommend improvements. Minimum Qualifications 5+ of experience in cloud operations, site reliability engineering (SRE), infrastructure operations, or a related technical field. Working knowledge of Kubernetes and at least one public cloud platform, such as AWS or GCP. Experience deploying and supporting containerized applications in Kubernetes environments. Experience with incident management practices, including incident response, escalation, and post-incident review processes. Experience using Prometheus, Grafana, and PromQL for monitoring, alerting, and troubleshooting. Strong knowledge of Linux system administration and internals and scripting. Experience troubleshooting complex issues across software services, operating systems, networks, and physical infrastructure. Experience participating in an on-call rotation supporting production services. Strong analytical and problem-solving skills, with a methodical approach to troubleshooting. Excellent written and verbal communication skills, particularly during high-impact incidents. Strong documentation skills and attention to detail. Preferred Qualifications Experience with server hardware, BMCs, Redfish, IPMI, or hardware-management services. Experience troubleshooting server provisioning, reboot, provisioning, or lifecycle-management failures. Familiarity with high-performance computing, GPU infrastructure, DPUs, or large-scale AI clusters. Experience working in data center environments, including server racks, power-distribution equipment, and cooling systems. Experience collaborating directly with hardware or firmware vendors to qualify and validate fixes. Bachelor's degree in computer science, engineering, or a related discipline-or equivalent practical experience. Understanding of Python or Golang. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You enjoy working close to the hardware and are curious about how GPUs, servers, and data centers fit together. You thrive in infrastructure environments where reliability, performance, and automation matter as much as features. You like collaborating across hardware, platform, and product teams to solve complex, ambiguous problems. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $109,000 to $179,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace . click apply for full job details

Job Description Job Description This role is on-site M-F in the Flatiron District - New York City, NY. Our client is a Series A point-of-sale software company in NYC. They move fast and ship daily. AI-assisted engineering isn't a talking point here; agents like Devin, Claude, and Codex are part of how the team works every day, and engineers who master that leverage ship multiples of what they could alone. About the Team Applied AI owns the intelligence layer, including aspects of Merchandising , Custom Reporting, Ecommerce, and Agentic workflows. This is the team behind our AI Manager - a suite of production agents that handle end-to-end workflows like retail pricing strategies, creating marketing campaigns, maintaining SEO (eCommerce) and developing custom reports that give store owners the insight they need to run a stronger business. This team also owns invoice OCR/CV (structured extraction from messy distributor invoices, with selectable LLM engines) and embedding-based product matching. Nothing here is a demo: every model output lands in front of a real store owner making a real pricing decision. About the Role You'll design, build, and iterate on the agents powering our core merchant experience. Working on this mission-critical team, you'll develop production agent and context-layer applications - turning each store's sales history, catalog, and market context into decisions that make independent retailers money. You'll own your models from research to production, and your work ships into stores the same week. In this role, you will Apply state-of-the-art ML and LLM techniques to problems spanning: Merchandising intelligence (slow-mover detection, price and promotion recommendation, competition and seasonality signals); Document understanding (invoice OCR and structured extraction across LLM engines); Retrieval and ranking (embedding-based product matching on pgvector, catalog dedup, contextual recommendations) Build agent capabilities on top of our Manager Agent platform - task generation, review workflows, and chat over each store's own data Build the evaluation harness for both offline and online techniques, designing experiments and metrics (evals, QA playbooks, Langfuse tracing) that provide deep insight into recommendation quality and merchant impact Own the entire model lifecycle from research to production: data analysis, modeling, evaluation, offline/online testing, and iterative improvement - and build autonomous harnesses that let agent squads explore new problem spaces in parallel Collaborate cross-functionally with engineers, PMs, and store owners to ensure our AI drives measurable improvements in merchant revenue and hours saved Stay at the forefront of ML/AI innovation by evaluating and incorporating emerging research, models, and techniques into the product lifecycle Your background looks something like this 5+ years building and shipping robust AI products for large-scale, user-facing or data-driven products Strong software engineering skills (TypeScript and/or Python, production-quality codebases, collaborative development) and experience using agentic coding tools for large-scale parallel development In-depth experience with the full AI lifecycle: data analysis, rigorous evaluation, and ongoing monitoring and improvement Proven collaborator and communicator; excels in high-velocity, cross-functional teams Curious, driven by end-user and product impact, and passionate about advancing the state of applied ML and AI BS, MS, or PhD in Computer Science, Engineering, or a related field (or equivalent experience) Even better Experience with LLM context engineering or harness engineering Experience in mid-training or post-training frontier open-source models Experience with large-scale user-centric and content-centric personalization challenges (user modeling, retrieval, content ranking) Experience with LLM observability and eval tooling (Langfuse or similar) in production Familiarity with our stack: Next.js, tRPC, Prisma, PostgreSQL with pgvector, Vercel Retail, pricing, or demand-forecasting domain experience - you know why moving a slow SKU matters to a store's cash flow Compensation $220k - $300k + Meaningful equity This range reflects the expected compensation for this role. Compensation within the range is determined based on experience, skills, and scope of responsibilities. In addition to base salary, we offer meaningful early-stage equity - this team's work is the foundation the company compounds on. Bonuses can be upward of 50% of base salary based on personal and company performance as well. Benefits Fully company-covered medical and dental benefits. 401(k) Catered Lunches and Dinners: We provide dinner each evening for employees who would like to eat and connect with the team. Lunch is provided on a weekly basis.

Job Description Job Description Lead Systems Engineer - Job Description Job Title: Lead Systems Engineer (Req 2) Department: Engineering Reports To: Program Manager and Engineering Director FLSA Status: Exempt / Full-time Salary Range: $125,000 - $175,000 Annually (depending on experience) ROLE We are seeking a senior Lead Systems Engineer to define system architectures, develop and manage requirements, and guide integration and verification activities across multiple interconnected products. This role oversees system-level consistency and performance, ensures alignment to program commitments, and coordinates work across hardware, software, and test teams. The ideal candidate brings extensive experience in military communication systems, strong skills in interface control and lifecycle engineering, and the ability to drive technical execution in a schedule driven environment. Experience with Navy or other DoD programs is highly desirable. RESPONSIBILITIES Lead end to end systems engineering activities across multiple related communication systems, including architecture definition, requirements development, interface management, risk assessment, verification planning, and formal design reviews (SRR, PDR, CDR, PRR/FDR, TRR). Establish, decompose, and maintain system level requirements with full traceability to customer specifications, derived constraints, verification methods, and subsystem allocations. Help coordinate technical execution across internal teams and external suppliers, ensuring consistent system architecture, controlled interfaces, synchronized schedules, and delivery of verified, compliant system capabilities. Develop and maintain key system artifacts such as system block diagrams, ICDs, data flow representations, verification matrices, integration strategies, and detailed test plans. Lead and facilitate technical interchange meetings (TIMs), multi discipline design reviews, peer reviews, and supplier technical performance assessments, with emphasis on verification readiness and test completeness. Collaborate closely with software, hardware, test engineering, manufacturing, configuration management, and program management teams to ensure cohesive system behavior and robust verification coverage across the lifecycle. Provide leadership in configuration control, verification tools, requirements management tools, and continuous improvement of systems engineering processes, particularly around test and verification discipline supporting AS9100-compliant engineering processes. Mentor junior engineers and contribute to the growth, consistency, and maturity of the systems engineering discipline across the organization. REQUIRED SKILLS Strong proficiency in full lifecycle systems engineering for embedded communication systems, with the ability to operate effectively in a fixed price, schedule driven environment while supporting Agile development practices. Hands on experience defining, refining, and maintaining traceable requirements baselines, performing system modeling and analysis, and executing verification in alignment with contractual commitments. Solid background in high-speed serial communication technologies and mixed hardware/software architectures, including integration considerations for embedded processors and high speed communication buses. Demonstrated capability to support architecture definition, system decomposition, design reviews, and configuration controlled updates throughout a HW/SW system's lifecycle. Help manage program and engineering workflows using Jira, including sprint planning, backlog grooming, dashboard/report creation, and cross team coordination to ensure project transparency and execution discipline. Strong understanding of embedded systems, HW/SW integration, interface control, and data driven decision making across complex system interactions. Excellent communication and documentation skills, with the ability to clearly present technical information to customers, program leadership, and cross functional teams. PREFERRED SKILLS Direct experience supporting Navy or other DoD research, development, or acquisition programs. Familiarity with requirements management tools such as Jama, DOORS, or equivalent. Experience coordinating multidisciplinary engineering teams and aligning Agile development activities with fixed price contractual deliverables. Knowledge of environmental qualification standards and test methods, including MIL STD 461/MIL STD 810. Understanding of configuration management practices and modern digital engineering toolchains. QUALIFICATIONS Bachelor's Degree in Systems Engineering, Computer Engineering or related field. Minimum 8 years of relevant experience. US Person required; ability to obtain and maintain a DoD Secret clearance. Position located in Melbourne, FL (not remote).

Job Description Job Description The Principal Specialist - IT ETRM Systems is responsible for supporting the ION RightAngle application and related system customizations and integrations. The role requires strong systems support, communication, and organizational skills with a focus on customer service. Essential Duties and Responsibilities: Interact daily with end-users, developers, and managers to support and enhance RightAngle Document issues and enhancements with the appropriate level of detail for the development team to resolve technical issues and build solutions Field questions from end-users and assist with data issues Create and maintain system functional design documents Complete analysis, testing, and deployment for RightAngle system upgrades, patches, and custom code releases. Follow defined change management procedures and internal guidelines Availability to support after hours on business-critical situations and scheduled tasks Contribute to best practice library and mentor other team members Must be able to work on multiple simultaneous tasks with limited supervision Ensure requirements are being met in accordance with corporate compliance Ensure proper communication to all levels of the organization Education and/or Experience, Knowledge, Skills & Abilities: To perform this job successfully, an individual must be able to perform each essential job duty satisfactorily. The requirements for this position are listed below: Bachelor's degree, preferably in Information Technology, Information Systems, or related area Excellent customer service, interpersonal, communication, and team collaboration skills 10+ years of experience in application support Strong understanding of Physical (Oil, NGLs, Refined Products) & Financial commodities A strong understanding of SQL and relational database concepts Familiarity with SDLC processes such as Agile, Waterfall, etc. Experience working with ticketing systems such as Remedy, ServiceNow Familiarity with front-to-back-office system data flow in RightAngle, including but not limited to Deal Capture, Contract Management, Lease Center, Credit, Risk, Scheduling, Inventory, and Settlements Ability to create complex pricing provisions and report views Capable of testing business scenarios in RightAngle from deal capture to invoicing Excellent analytical and problem-solving skills, strong organizational skills, attention to detail Demonstrated initiative with commitment and ability to work under pressure and meet tight deadlines while still maintaining high quality standards Required experience is commensurate with the selected job level: The Senior IT Specialist level requires a Bachelor's degree or equivalent experience and 5-8 years of relevant job-related experience The Lead IT Specialist level requires a Bachelor's degree or equivalent experience and 8+ years of relevant job-related experience The Principal IT Specialist level requires a Bachelor's degree or equivalent experience and 10+ years of relevant job-related experience. Preferred Qualifications: Experience with ION RightAngle S20+ is preferred Previous experience in Oil & Gas industry is a plus Advanced Excel skills & Intermediate skills in other MS Office applications Working Conditions: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Usually, normal office working conditions. Must be able to remain in a stationary position 50% of the time due to prolonged periods of sitting or standing. Occasional overnight travel may be required. An equal opportunity employer/disability/vet Is an equal opportunity employer and does not discriminate against qualified applicants on the basis of actual or perceived race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, pregnancy, veteran status, genetic information, citizenship status, or any other basis prohibited by law. The nature and frequency of the above working conditions and requirements may vary depending on individual operational circumstances. Where feasible, the Partnership will make reasonable accommodations to qualified individuals with disabilities to enable them to perform the essential functions of the job. DISCLAIMER : The statements listed in this job posting, which are subject to change, are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of personnel so classified.

Job Description Job Description Internal Title: Consultant, Support Location: Charlotte, NC Type: Full-Time, Salaried - Exempt Working Hours: 9:00am-5:30pm (for a 6 month training period, after which, employee will be added to a rotating schedule with one late shift per week (12:30pm-9:00pm) Salary: $75,000 and up, DOE About the Company Founded in 2011, 33Floors is the world's largest software consultancy dedicated exclusively to the Yardi platform. Trusted by leading real estate firms worldwide, our team operates across more than 30 countries, helping clients solve complex challenges and unlock the full value of their Yardi systems. At 33Floors, you'll join a global team of over 65 specialists delivering expertise in Yardi implementation, support, development, and data services. You'll take ownership of complex projects, lead clients through transformative solutions, mentor the next generation of Yardi experts, and deliver measurable impact for the most recognized names in real estate. Join 33Floors and become part of an international business that values collaboration, innovation, and professional development in a supportive and dynamic environment. To learn more about 33Floors, please visit . About the Role We are looking for a Yardi Support Specialist / Systems Administrator to support commercial real estate clients using Yardi Voyager and related Yardi products. This is not a leasing, property manager, or front-desk user support role. The right person has hands-on experience troubleshooting Yardi issues, supporting users, testing changes, helping with configuration, documenting fixes, and working across operations, accounting, property management, and technical teams. This is a great opportunity for someone who understands how real estate teams use Yardi and wants to grow deeper into system administration, advanced support, and client-facing consulting. You may be a Yardi administrator, business systems analyst, implementation specialist, support analyst, property accounting systems specialist, or an experienced property management professional who has become the "go-to" systems person on your team. You will help clients resolve complex Yardi questions, improve business processes, support system configuration, assist with testing and upgrades, and escalate or coordinate more technical issues when needed. You do not need to be a developer, but you should be comfortable working with technical teams, asking good questions, researching unfamiliar issues, and translating business needs into clear system requirements. Responsibilities Serve as a subject matter expert and client-facing support resource for Yardi Voyager, Yardi Elevate, CommercialCafe, and related integrated applications such as Procore, Argus, and VTS Troubleshoot and resolve complex functional and technical issues across Yardi modules, workflows, security, reporting, integrations, and client environments Manage advanced support requests through the ticketing system, including root-cause analysis, documentation of findings, timely resolution, and clear client communication Perform Yardi system administration and configuration tasks, including user setup, security roles, permissions, workflows, module configuration, and governance alignment Work with client stakeholders across accounting, property management, asset management, operations, and IT to understand business needs and translate them into clear requirements for configuration, reporting, integrations, or development work Support Yardi upgrades, plugin updates, testing cycles, data validation, regression testing, and related change-management activities Guide clients on Yardi best practices, system optimization, process improvements, and ways to reduce recurring support issues Coordinate with internal teams, Yardi support, vendors, and third-party partners to escalate complex issues, communicate risks, and drive resolution Maintain documentation, including standard fixes, support procedures, client-specific processes, and knowledge base articles Provide status updates, risks, and recommendations to project management, senior management, and clients as needed Qualifications Qualified candidates will have experience in one or more of these backgrounds: Yardi Voyager system administration Yardi support, help desk, tier 2/tier 3 support, or application support Commercial real estate systems or property accounting systems Yardi implementation, onboarding, testing, or upgrade support Business analyst or systems analyst work in a real estate environment Property management or accounting operations experience combined with hands-on Yardi troubleshooting or systems ownership Required Qualifications Hands-on experience with Yardi Voyager in a business, support, administrative, implementation, or systems role Ability to troubleshoot Yardi issues beyond basic front-end user questions. Understanding of real estate operations, commercial property management, accounting workflows, or related business processes Experience supporting end users, documenting issues, and communicating solutions clearly Ability to manage multiple support requests and priorities in a client-facing environment Strong analytical and problem-solving skills with the ability to diagnose issues, evaluate options, and make sound recommendations in a fast-paced environment Must demonstrate a genuine enthusiasm for learning and professional growth. A strong desire and commitment to continuous learning are essential to this role Flexibility to work outside standard business hours, including occasional evening shifts (e.g., 9 PM EST), as needed Preferred Experience Experience in property onboarding or implementations Experience with Voyager 8 is preferred but not required Demonstrated ability to lead, mentor, and support junior staff, fostering a highly effective and productive team environment Experience with 3rd party integrations (ex. Argus, VTS, etc.) In addition to the technical skills and experience listed above, the ideal candidate for this position would be a self-motivated individual who demonstrates attention to detail, a passion for problem-solving and customer service, and is comfortable working in ambiguous situations and independently researching and resolving unfamiliar system issues. Must enjoy working in a high-volume, client-facing support environment. Why Join 33Floors Work with a team focused entirely on Yardi Build deeper expertise across Yardi products, modules, clients, and real estate business models Join a global team supporting clients across multiple markets Grow from support into advanced consulting, implementation, systems administration, data, reporting, or project work Work in an environment that values documentation, problem-solving, continuous learning, and client service Compensation We offer a competitive compensation package, based on experience. Benefits include PTO, paid holidays, sick time, medical/dental/vision coverage, life and disability insurance options, and 401(k) with a 3% Safe Harbor employer contribution.

Job Description Job Description Founded in 1936, the National Wildlife Federation has grown into America's largest and most trusted grassroots conservation organization with 52 state/territorial affiliates and more than six million members and supporters, including hunters, anglers, gardeners, birders, hikers, campers, paddlers, and outdoor enthusiasts of all ages and stripes. The mission of the National Wildlife Federation is to unite all Americans to ensure wildlife thrive in our rapidly changing world. We advance this mission through programming focused on conserving wildlife, restoring habitats and waterways, expanding outdoor opportunities, connecting children with nature, advancing environmental justice, and addressing the causes and consequences of climate change. To support our mission, we are seeking a Data & Systems Specialist to join our Data & Technology Department. This role works at the intersection of data, systems, and stakeholder support. The Data & Systems Specialist is responsible for managing, maintaining, and optimizing data and business processes for NWF's mission-critical supporter systems. This role is a vital resource for system users, developers, project managers, data analysts, and vendors. They work with stakeholders to ensure alignment with the organization's fundraising, engagement, programmatic, and operational goals. They provide user support, manage process documentation, and execute training plans to enhance user adoption and optimization. The Data & Systems Specialist plays a key role in ensuring the data hygiene, data governance, and integrity of our supporter systems. The person in this role is expected to be proactive, detail-oriented, and an effective communicator. The Data & Systems Specialist will be part of the Data & Systems team and report to the Senior Manager of System Strategy & Projects. Principle Duties (major areas of responsibility): System Administration Serve as primary administrator for the CRM database (currently Microsoft Dynamics). Configure fields, forms, views, automations, reports, dashboards, and user security permissions. Troubleshoot system issues and partner with key stakeholders to identify and deploy practical solutions. Execute system improvements and upgrades in collaboration with system users, developers, project managers, data analysts, and vendors. Create and perform quality assurance testing scripts related to functionality enhancements or bug fixes. Build queries and run reports to distribute to system stakeholders. Serve as a backup for NWF's Data Operations Manager to perform key functions when coverage is needed. User Support and Training Manage the CRM support inbox, acting as primary point of contact for CRM-related questions and feedback. Provide hands-on support to CRM users, addressing database questions, data inquiries, technical issues, and ensuring efficient and effective system utilization. Regularly meet with CRM super users and gather feedback to improve functionality and data processes. Develop and deliver optimized help documentation, training sessions, user surveys, and newsletter communications. Create and maintain documentation related to system usage, processes, and connections across systems. Data Hygiene and Data Governance Manage NWF's Data Protection inbox to resolve data privacy and data removal requests from our supporters. Monitor and manage data integrity tasks for NWF's supporter data. Conduct regular data integrity checks to identify and resolve any data issues. Perform data management tasks such as data imports, exports, appends, and merges. Research, develop, and maintain data governance policies for NWF's supporter data, ensuring compliance with applicable organization and policy standards. Collaboration and Strategy Partner with cross-functional teams and data owners (e.g. development, fundraising, legal, marketing, and operations) to align system capabilities with organizational requirements. Develop and implement strategies for improving operational efficiency, such as streamlining processes, eliminating redundancies, and elevating system capabilities. Collaborate with data owners and the Data Strategy team to ensure system configuration allows for seamless analytics and reporting. Help evaluate and adopt emerging technologies - including AI-powered tools - to enhance productivity. Qualifications: Skills and Competencies Strong analytical and problem-solving skills. Ability to troubleshoot creatively and critically think through implications beyond what is immediately apparent. Ability to manage multiple priorities while maintaining a positive outlook. Excellent communication skills. Comfortable sharing technical concepts in a way everyone can understand. Ability to collaborate effectively with diverse teams and stakeholders. Excellent organizational skills with strong attention to detail and accuracy. Flexibility, reliability, determination, and a sense of humor. A passion for continuous improvement and learning new technologies. Willingness to adapt to changing organizational needs and proactively seek solutions. The employee's actions are expected to reflect the values of the National Wildlife Federation. Minimum Experience 2+ years experience in an administrator role for an enterprise CRM (Microsoft Dynamics, Salesforce, Blackbaud CRM). 2+ years experience serving as a support contact for CRM users, technical staff, and vendors. 2+ years experience implementing data hygiene best practices, crafting data governance principles, and performing data integrity tasks. 2+ years experience conducting data imports, exports, and validation activities for enterprise systems. Preferred Experience Knowledge of nonprofit operations, including donor database management, fundraising campaigns, and program delivery. Experience with Salesforce nonprofit applications or Salesforce Administrator certification. Experience implementing system data integrations and APIs. Experience with Tableau or a similar reporting platform. Experience working with complex data sets in SQL Server. Minimum Education Requirements Bachelor's degree from an accredited college or university. pplicants are invited to learn more about National Wildlife Federation's required equity competencies at -Us/Careers. Travel Requirements: There may be 1-10 travel days per year to attend conferences and perform field office visits. Location and Work Mode: This position will be based in Reston, Virginia. The National Wildlife Federation is committed to a flexible and empowered work environment with an authentic community of care for all staff. In this position, the employee may work hybrid or fully remote to be decided jointly with their supervisor in the final stages of the interview process. For more information on Work Modes, please review the benefits section of our careers page: -Us/Careers Physical Requirements of the Job: Remaining in a normal seated or standing position for extended periods; reaching and grasping by extending hand(s) or arm(s); dexterity to manipulate objects with fingers, for example, using a keyboard; communication skills using the spoken word; ability to see and hear within normal parameters; ability to move about the workspace. The position requires mobility, including moving materials weighing up to several pounds (such as a laptop computer or tablet). Persons with disabilities may be able to perform the essential duties of this position with reasonable accommodation. Requests for reasonable accommodation will be evaluated on an individual basis. Please Note: This job description sets forth the job's principal duties, responsibilities, and requirements; it should not be construed as an exhaustive statement, however. Unless they begin with the word "may," the Essential Duties and Responsibilities described above are "essential functions" of the job, as defined by the Americans with Disabilities Act. Compensation and Benefits: The salary range for this position is $60,000 - $70,000, commensurate with experience. We are proud of our designation by Mogul as a Top 100 Workplace with the Best Benefits, and by Forbes as one of America's best small employers! We value work-life balance and a family-friendly atmosphere with flexible scheduling. We want you to be able to integrate work and personal life with attention to your self-care, so that your work schedule is not depleting. We offer benefits so you feel restored and fueled through the day and week. We offer these supports to help manage your mental, emotional, and physical health: Paid time off: Vacation that starts off at three weeks accrual based on a full-time schedule, unlimited wellbeing (this time can be used for physical, spiritual, emotional, cultural, religious or financial wellbeing for yourself, a partner, or family member - including pets), and 11 holidays We close down for a paid winter break between December 25 to January 1 to recognize end of-year stress, and time for reflection, rejuvenation, and spending time with family. Up to 16 weeks of fully paid Family and Medical Leave Low-cost health, dental, and vision insurance options - all outpatient mental health is covered at in-network rates Therapist available at no cost . click apply for full job details

Genworth is seeking a Senior Business Systems Analysis Manager to lead analysis and optimization of core finance and insurance platforms supporting long-term care, mortgage, and protection products. You will partner with business and technology leaders to translate strategic goals into system roadmaps, robust requirements, and scalable solutions. In this role, you will manage a team of analysts, drive data quality and controls, and ensure systems support regulatory and risk needs. You'll work in a collaborative, inclusive environment focused on accountability, customer impact, and continuous improvement. Responsibilities Lead analysis, design, and optimization of core finance and insurance business systems Partner with stakeholders to translate business goals into system requirements and roadmaps Oversee end-to-end delivery of system enhancements and integrations Define and maintain standards for business requirements, process mapping, and documentation Drive data quality, controls, and compliance across key platforms Manage and mentor analysts; build high-performing, collaborative teams Collaborate with IT, product, and operations to resolve complex system issues Monitor KPIs and user feedback to prioritize continuous improvement initiatives Support governance, risk, and regulatory reporting needs Required Skills Business systems analysis Financial services/insurance domain knowledge Requirements gathering and documentation Process mapping (BPMN/Visio or similar) Data analysis and SQLEnterprise platforms/ERP/Policy admin systems Systems integration and APIs Project management Agile methodologies Regulatory and risk/compliance understanding

Machine Learning Engineer 5 (Senior Manager, IC) In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences 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. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 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).