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Job Description Job Description Overview Job Title: Data Product Manager Location: Arnold AFB, TN Job Family Code: Q - Program Management & Operations (tech) Function/Branch: MIS/Data Team Directorate: MIS Position Type:Regular, Full-Time Pay Type: Exempt Sponsorship: Position Not Sponsored Grade: L10 (QA1005)/L11 (QA1103) Salary Range or Starting Hourly Rate: L10: $146,500 - $179,000; L11: $160,000 - $213,000/ per year Overview BNH is seeking a strategic, business-oriented Data Product Manager to lead our enterprise data transformation and define the roadmap for BNH's data products supporting the TOS II contract at Arnold Air Force Base. In this hands-on leadership role, you will treat enterprise data as a core product, bridging the gap between technical teams (data engineering, analytics, business intelligence) and key business stakeholders (aerospace test operations, finance, and compliance). You will define product vision, manage the data product backlog, and lead the technical team in delivering secure, self-service data capabilities that support aerospace testing throughput. As a key member of the senior leadership team, the Data Product Manager will define and execute the organization's data strategy, ensuring that data becomes a core driver of business performance, innovation, and competitive advantage. This is a hands-on leadership role that balances strategic vision with operational excellence Open to internal & external candidates. The selected candidate for this requisition may be required to occasionally (e.g. application upgrades) work outside normal business hours. Job Summary The successful candidate will be a strategic, business-oriented data leader responsible for defining the enterprise data product vision, establishing the long-term product roadmap, managing and prioritizing the feature backlog, and optimizing resource investments to ensure BNH's data assets deliver measurable business value and directly support the modernization goals of the TOS II contract. Job Duties and Key Responsibilities: Strategic leadership: Define and continuously evolve the enterprise data strategy aligned with business objectives; Establish KPIs that directly link data initiatives to business outcomes (revenue growth, churn reduction, cost savings, etc.); Act as the primary advocate for data initiatives at the executive level. Team Leadership: Build, lead, and scale a high-performing Data team (Data Engineering, Analytics, Data Science, Governance); Foster a culture of innovation, continuous learning, and technical excellence; Set priorities and make final decisions on project resourcing Cross-Functional Team Coordination: Lead and act as a bridge between cross-functional teams of data engineers, data scientists, analysts, and business leaders to ensure alignment and unblock technical progress. Product Roadmap & Delivery: Define product-level Objectives and Key Results (OKRs) and establish product success criteria; manage the data product lifecycle from concept through launch, user adoption, and continuous iteration. Maximize team velocity and resource allocation using Agile product management tools, shifting focus from "delivering on time" to "delivering high-value, high-adoption features. Requirement Translation: Convert high-level business goals into clear, actionable technical requirements for the data team. Test Operations Modernization: Partner with O&M, instrumentation, and test engineering directorates to design and modernize legacy data acquisition and telemetry pipelines. Build secure, reliable data products that scale testing capacity, directly supporting the contract's goal to double testing throughput. Data Governance and Quality Management: Oversee enterprise data governance, data quality, master data management, and data security; Ensure data collection, storage, and sharing comply with internal data governance standards, security policies and compliance with all regulatory and privacy requirements; Anticipate and mitigate technical, ethical, or financial hurdles while ensuring data accuracy; Champion best practices in data architecture and data management. Data Product Lifecycle Management: Define the long-term vision, strategy, and product roadmap for BNH's data infrastructure, analytics dashboards, and automated reporting systems. Workflow Management: Utilize Agile frameworks like Scrum or Kanban to manage data pipelines, handle unknowns, and iterate deliverables. Stakeholder Communication and Reporting: Translate complex technical progress into plain-language business insights for non-technical stakeholders and keep leadership informed on project health, risks, and ROI. Perform other duties as required. Basic Qualifications: Bachelor's in computer science, data science, software engineering, information systems, business analytics, or operations reasearch, OR Bachelor's degree in any field, plus 2 additional years of expereince in technical data management or product analytics. (10) Ten Years as a product owner, product manager, data scientist, business intelligence, data engineering or data analytics. Must be able to obtain and maintain an active security clearance and mainatain authorized user access to the AEDC local area network. U.S. Citizenship is required due to federal governement contract compliance requirements and the necessity to access secure federal databases and networks on Arnold Air Force Bsae. Preferred Qualifications Data Management Fundamentals: Understanding of data warehousing, ETL (Extract, Transform, Load) pipelines, database structures, and data modeling. Enterprise-Scale Modernization: Experience migrating legacy on-premises systems (e.g., legacy databases, analog test telemetry) to modern, cloud-based data warehouses or unified lakes. Business Intelligence & Analytics Tools: Familiarity with visualization and reporting platforms like Tableau, Power BI, or Looker. Data Science & Big Data Concepts: Working knowledge of how machine learning models, big data frameworks, and analytics workflows operate. Query & Scripting Basics: Literacy in foundational languages or tools like SQL or Python to communicate effectively with technical contributors Translation & Communication: Ability to explain complex technical metrics and machine learning outputs in plain language to non-technical business partners. Collaboration Frameworks: Experience running agile or hybrid project frameworks (such as Scrum or Kanban). Problem-Solving & Critical Thinking: Aptitude for troubleshooting data bottlenecks, missing variables, or shifting project requirements. Stakeholder Management: Skill in balancing competing demands, managing expectations, and driving project buy-in across different departments. What We Offer Competitive salaries Continuing education assistance Multiple healthcare benefits packages 401K with employer matching Paid time off (PTO) along with a federally recognized holiday schedule Who We Are Beyond New Horizons (BNH) is a fully populated joint venture of Astrion and Fluor Federal Services, Inc. formed to provide unmatched Test Operations and Sustainment services for the Arnold Engineering Development Complex. We chose our name to serve as an enduring reminder of our commitment to AEDC's rich aerospace research and development legacy anchored in AEDC's Toward New Horizons founding study and the unprecedented opportunities to greatly expand AEDC's capabilities and capacity Beyond those existing today. Leveraging the capabilities of our parent companies, BNH specializes in testing and evaluation for military and space systems combined with proven capability in large-scale Government program management, integration, engineering, and construction services for specialized and technically advanced high-hazard facilities. Join our Team! U.S. Citizenship is required. At this time BNH will not sponsor any applicants for employment authorization or offer any immigration related support for this position (i.e. H1b, F1 OPT, F-1 STEM OPT, F-1 CPT, J-1, E-2, E-3, L-1, or other forms of work authorization that require immigration support from an employer). 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 BNH is willing to pay at the time of this posting. Salaries for part-time jobs will be adjusted based upon the number of hours agreed to work at location Tennessee: Arnold Air Force, TN. L10: $146,500 - $179,000; L11: $160,000 - $213,000/ year at Arnold Air Force Base, TN. BNH is an Equal Employment Opportunity/Affirmative Action Employer. We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. . click apply for full job details

This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $200,000 - $275,000 per year A bit about us: We are partnering with a rapidly growing, venture-backed technology company operating at the intersection of Artificial Intelligence and cybersecurity to hire an AI Solutions Architect focused on Federal customers. This is not a traditional Solutions Architect position where you simply deliver presentations and hand opportunities back to Engineering. We are looking for someone who can architect, build, deploy, demonstrate, and troubleshoot real AI solutions while working directly with mission owners across the Intelligence Community, Department of Defense, DHS, and civilian federal agencies. You will serve as the technical lead throughout the customer journey-from initial discovery and architecture discussions through proof-of-value, deployment, integration, and technical win. The right person will be equally comfortable writing Python, deploying Kubernetes into an air-gapped environment, building an AI proof of concept, whiteboarding an architecture, and presenting the solution to senior government stakeholders. Why join us? You'll join a well-funded, rapidly scaling company building technology in one of the most important emerging areas of cybersecurity: protecting AI systems themselves. The company has recently completed a significant new funding round and is continuing to expand its engineering, product, and federal organizations. The opportunity offers: Fully remote work within the United States Significant exposure to cutting-edge AI and cybersecurity technology Direct involvement with important federal AI initiatives High technical autonomy and ownership Opportunity to work closely with Product, Research, Engineering, and customers Flexible paid time off Company holidays Home-office and connectivity support Dedicated learning and development funding for training, certifications, conferences, and industry events If you're a deeply technical Solutions Architect who understands Federal missions, AI/ML, cloud-native infrastructure, and security-and you want to help solve the emerging challenge of securing AI systems-we'd love to speak with you. Job Details What You'll Do Lead Federal Technical Engagements: Partner with federal Account Directors to lead technical strategy across complex government opportunities. Conduct discovery with mission owners, AI/ML engineers, security teams, architects, and executive stakeholders. Understand customers' AI initiatives, architectures, data pipelines, infrastructure, security requirements, and compliance constraints. Translate loosely defined mission challenges into clearly scoped technical evaluations and proof-of-value engagements. Establish measurable success criteria, timelines, technical requirements, and exit conditions. Serve as a trusted technical advisor and provide candid guidance around where the platform is-and is not-the right solution. Architect & Deploy Real Solutions: Architect and deploy an enterprise AI security platform across both connected SaaS and fully disconnected/air-gapped environments. Package and transfer container images, Helm charts, dependencies, and supporting artifacts into environments with limited or no internet connectivity. Deploy and administer Kubernetes-based environments utilizing technologies such as: Kubernetes Docker Helm Private container registries OpenShift VMware / Proxmox AWS, including government and restricted environments Troubleshoot deployment, networking, integration, and infrastructure issues during customer evaluations and initial implementations. Work directly with SDKs and APIs to build meaningful integrations into customer environments. Build AI Demonstrations & Proofs of Concept: Develop mission-focused AI applications and technical demonstrations involving: Large Language Models Agentic AI Computer Vision Model inference Retrieval/RAG architectures AI/ML pipelines Demonstrate how AI systems can be attacked, compromised, or manipulated-and how those systems can be protected. Integrate AI security capabilities throughout the ML lifecycle, including model scanning, CI/CD pipelines, application security, runtime detection, and response. Build credible demonstrations that resonate with engineers and mission owners rather than relying on canned sales demos. Advise on AI Security: Help federal customers understand how to secure: AI/ML models LLM-powered applications AI agents Data and inference pipelines Model supply chains AI infrastructure Production AI workloads Apply established security concepts and frameworks including: MITRE ATLAS OWASP Top 10 for LLM Applications NIST AI Risk Management Framework Adversarial machine learning concepts and attack methodologies Communicate & Influence: Deliver live technical demonstrations, architecture sessions, whiteboard discussions, and executive briefings. Present effectively to audiences ranging from ML engineers and data scientists to cybersecurity leaders and senior executives. Create technical evaluation reports, reference architectures, deployment documentation, and integration guides. Represent the organization at federal engagements, conferences, webinars, and industry events. Translate lessons learned in the field into reusable demonstrations, technical enablement, and feedback for Product, Research, and Engineering. What We're Looking For We are looking for a highly technical, customer-facing architect who has actually worked inside federal environments and understands the realities of deploying sophisticated technology into government infrastructure. Ideal candidates will bring: 5+ years of experience in Solutions Architecture, Solutions Engineering, Applied AI Engineering, ML Engineering, or a similar customer-facing technical role. Direct experience supporting federal customers across the Intelligence Community, DoD, DHS, or civilian agencies. Experience operating within federal missions-not simply selling technology into federal accounts. Strong hands-on Python development skills. Practical experience building and integrating modern AI/ML systems. Experience with technologies and concepts such as: PyTorch Hugging Face ONNX LLM APIs Model inference RAG Agentic AI architectures AI/ML pipelines Strong hands-on experience with Docker, Kubernetes, and Helm. Experience deploying applications into restricted, disconnected, or air-gapped environments. Understanding of MLOps, CI/CD, and the lifecycle of models from development through production. Working knowledge of cybersecurity and AI security concepts. Strong technical presentation and communication skills. Ability to take an ambiguous customer problem and independently turn it into an executable technical plan. Ability and willingness to travel for customer engagements and industry events. Especially Valuable Experience: Additional experience in any of the following areas would be highly desirable: Active Top Secret or higher-level security clearance. Supporting AI/ML programs in classified environments. Securing production AI or machine-learning systems. AI/LLM red teaming or adversarial machine learning. AI security or AI evaluation tooling. Model formats and AI supply-chain security, including: ONNX SafeTensors GGUF Pickle-based serialization AWS GovCloud or other government cloud environments. OpenShift and private Kubernetes environments. Federal cybersecurity or compliance frameworks. Certifications such as Kubernetes, AWS, Azure, CISSP, or Security+. Public technical work including GitHub repositories, Hugging Face projects, conference presentations, open-source contributions, or technical writing. The Type of Person Who Will Thrive Here: This organization moves quickly and operates much more like a high-growth technology company than a traditional government contractor. We're looking for someone who enjoys solving problems without a perfectly defined playbook. You should be someone who can walk into an ambiguous federal mission problem, ask the right questions, architect a solution, stand up the environment, write the integration, demonstrate it live, troubleshoot what breaks, and explain the outcome to both engineers and executives. Intellectual curiosity is especially important. The strongest candidates are typically people who are constantly experimenting-building side projects, maintaining home labs, testing new AI frameworks, contributing to open source, publishing technical content, or simply teaching themselves technologies because they want to understand how they work. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes . click apply for full job details

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Director of Data Science, are you ready to lead the charge in transforming a major enterprise through the power of Generative AI, LLMs, and autonomous agent ecosystems? We are seeking a visionary Director of Data Science to architect and scale our next-generation AI capabilities. In this role, you will lead a high-performing team responsible for building reusable, horizontal AI platforms and solutions that drive enterprise-wide automation, innovation, and strategic differentiation. You possess the agility to navigate rapidly shifting AI paradigms, the architectural vision to design scalable systems from ideation to production-grade performance, and the leadership to bridge the gap between cutting-edge research and core business value. If you thrive at the intersection of AI strategy, technical execution, and organizational transformation, we want you to lead our future. What you will do: Acts as an enterprise AI thought leader and strategic advisor, shaping how the organization leverages generative AI, LLMs, and agentic workflows to drive competitive advantage and market differentiation. Influences business, data, and technology executives to invest in, scale, and future-proof enterprise-wide horizontal AI capabilities through active participation in strategy, planning, and budgeting. Directs and empowers a team of AI/Data Scientists and engineers to build and deploy scalable LLM applications, RAG pipelines, and autonomous agent systems in a fast-paced, agile environment. Architecturally guides the team from ideation to performant production solutions, optimizing the AI lifecycle from prompt engineering and context management to model evaluation and inference cost-efficiency. Champions the creation of modular, reusable horizontal AI capabilities and services that can be leveraged horizontally across disparate business units to solve complex challenges. Partners closely with Enterprise Architecture and IT to establish modern AI infrastructure, tooling pipelines, and scalable cloud/on-premise deployment standards. Ensures all AI models, agentic workflows, and generative solutions strictly adhere to emerging AI safety guidelines, model risk management (MRM) frameworks, data governance, and regulatory compliance. Identifies and secures strategic resource needs, ranging from next-gen LLM API integrations and specialized 3rd-party toolsets to specialized hardware and talent investments. Builds, inspires, and scales a world-class team of AI talent through intentional recruiting, technical mentorship, coaching, and performance management. Ensures risks associated with AI operations (e.g., hallucinations, data leakage, security vulnerabilities, and autonomous agent drift) are effectively identified, measured, monitored, and controlled. What you have: 8+ years of progressive experience in machine learning, advanced data science, and AI development-with a strong recent emphasis on deploying Generative AI, LLMs, or agentic systems to production-OR an Advanced Degree (Master's or PhD) in Computer Science, AI, Data Science, or a quantitative STEM field with 6+ years of relevant experience. 3+ years of direct people leadership experience, building, managing, and inspiring high-performing technical teams in rapidly evolving tech landscapes. Proven track record of architecting and delivering scalable, high-performance horizontal AI platforms or reusable capabilities that drive cross-enterprise transformation. Exceptional strategic agility and flexibility, with a demonstrated history of successfully pivoting technical strategies and teams in response to rapid paradigm shifts in the AI ecosystem. Deep technical background in modern AI frameworks and methodologies (e.g., LangChain, LlamaIndex, vector databases, fine-tuning, RAG architectures, prompt engineering patterns, and multi-agent orchestration). Comprehensive understanding of AI governance, risk mitigation (guardrails, prompt injection defense, alignment), model risk policies, and compliance expectations for automated and autonomous systems. Exceptional executive communication skills; a proven track record of translating complex AI architectures, ROI metrics, and technical roadmaps into compelling narratives for Senior Executive Management and non-technical stakeholders. Compensation range: The salary range for this position is: $189,370 - $361,950 USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph. The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities As an experienced technology professional, you will be responsible for: - Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs - Providing technical guidance and troubleshooting support throughout project delivery - Collaborating with stakeholders to gather requirements and propose effective migration strategies - Acting as a trusted advisor to customers on industry trends and emerging technologies - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team About AWS AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS- Bachelor's degree in Computer Science, Engineering, or a related field - 5+ years of work with software development lifecycle from conception to delivery experience - Experience in designing, planning and implementing applications and/or database migrations to the cloud - 5+ years of external or internal customer facing, complex and large scale project management experience - Current, active US Government Security Clearance of TS/SCI with Polygraph PREFERRED QUALIFICATIONS- Experience presenting technical solutions to diverse audiences in pre-sales environments - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Experience in performance optimization and cost management for cloud environments - Database experience (e.g. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) - Experience with automation and scripting (e.g., Terraform, Python) - Knowledge of security and compliance standards (e.g., HIPAA, GDPR) - Experience with AWS data/file transfer solutions including AWS Application Migration Service (MGN), AWS Database Migration Service (DMS), and/or AWS DataSync Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, MO, St. Louis - 153 800.00 USD annually

Job Description Job Description ABOUT ROCKET LAB Rocket Lab is the end-to-end space company building rockets, spacecraft, and critical subsystems that keep the world connected, protected, expand humanity's reach to the Moon, Mars, and beyond. We move fast, build real hardware for meaningful missions, and make the impossible routine. Come shape the future with us. SPACE SYSTEMS Rocket Lab's Space Systems division builds complete spacecraft, precision payloads to the components and subsystems that allow them to thrive in space including solar panels, flight software, star trackers, optical systems, separation systems, and radios. The Space Systems division has enabled more than 1,700 missions, ranging from interplanetary exploration, in-space manufacturing to national security and defense initiatives. We have built spacecraft, payloads, and components for missions to the Moon and Mars, working with partners including NASA, the Space Development Agency, and the U.S. Space Force. Whether it's a single high-performance spacecraft, constellation, or the vertically integrated components that help get to space - our Space Systems division is empowering the boldest and most ambitious space missions. SENIOR MACHINE LEARNING ENGINEER II Rocket Lab Optical Systems solves mission-critical space domain and Intelligence, Surveillance, and Reconnaissance challenges for Department of Defense and Intelligence Community customers. Our vision is to revolutionize the space-based payload market with innovative and novel designs for space, terrestrial, and airborne environments. Building on more than 20 years of electro-optical and infrared systems innovation from Geost, Rocket Lab Optical Systems delivers solutions to the warfighter for responsive, scalable sensing solutions across all orbital domains. As a Senior Machine Learning Engineer II for Rocket Lab Optical Systems in Long Beach, CA, you will have the opportunity to support Tranche 3 of the U.S. Space Development Agency's (SDA) Proliferated Warfighter Space Architecture (PWSA) and beyond by building deep learning neural networks for advanced Electro-Optical (EO/IR) image processing. WHAT YOU'LL DO Develop computer vision algorithms and deep neural networks for image and video processing chains. Collaborate with other researchers/engineers on artificial intelligence, machine learning, and computer vision. Work with physics-based image simulation frameworks to scale training and validation data. Design, train, and deploy machine learning models for Optical Systems applications. Preform rapid prototyping and enhanced development to be integrated into operational systems. Perform troubleshooting, bug fixes, and maintenance of existing and new systems. Stay current with ML research and evaluate new tools, frameworks, and techniques. WHAT WE'RE LOOKING FOR IN A SENIOR MACHINE LEARNING ENGINEER II: Bachelor's degree and 8+ years of experience, master's degree or a Ph.D. in Computer Science, Electrical and Computer Engineering, Mechanical Engineering, Physics, or related field. Strong background in math and fundamentals of machine learning, including model selection, architecting, training, validation, testing, and deployment Experience in building deep learning neural networks (e.g., CNN) for computer vision, image processing, or analyses, e.g., object detection, image segmentation, and tracking) Strong math background, particularly linear algebra and optimization theory Proficiency in Python Experience with deep learning libraries (Keras, TensorFlow, Pytorch, etc) Software engineering fundamentals: version control, testing, CI/CD, containerization S. citizenship is required due to program requirements. Ability to obtain and maintain a U.S. Government Security Clearance. NICE TO HAVE: Proficiency in C/C++/Rust. Experience curating quality, real-world datasets for training deep learning models. TS/SCI security clearance. This position may require prolonged periods of sitting, standing, walking, computer work, and occasional exposure to moderate levels of noise, dust, and fumes in production areas. This position may require prolonged periods of sitting, standing, walking, computer work, and occasional exposure to moderate levels of noise, dust, and fumes in production areas. Anticipated annual equity grant value is designed around function, level, experience, and other factors; realized value depends on vesting and stock-price performance. Join one of the world's fastest-growing space companies and own a piece of it. In addition to competitive base pay, you'll receive company stock as part of your total compensation package , giving you a direct stake in our success. As we expand to new launch sites, groundbreaking missions, and global markets, your ownership has the opportunity to grow alongside the company. Our comprehensive benefits package includes our industry-leading Employee Stock Purchase Program (with a 15% discount on company stock), top-tier medical plans, dental and vision coverage, paid vacation and sick time, 11 paid holidays, flexible spending and dependent care accounts, paid parental leave, disability and life insurance, 401(k) retirement plan with company match, and other discounts and perks. The expected salary range for the position is displayed in accordance with the state of Virginia's pay transparency requirements. Level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Total Compensation (base and equity) $130,000-$229,100 USD Base Salary $153,000-$204,000 USD WHAT TO EXPECT We're on a mission to unlock the potential of space to improve life on Earth, but that's not an easy task. It takes hard work, determination, relentless innovation, teamwork, grit, and an unwavering commitment to achieving what others often deem impossible. Our people out-think, out-work, and out-pace. We pride ourselves on having each other's backs, checking our egos at the door, and rolling up our sleeves on all tasks big and small. We thrive under pressure, work to tight deadlines, and our focus is always on how we can deliver, rather than dwelling on the challenges that stand in the way. Important information: FOR CANDIDATES SEEKING TO WORK IN US OFFICES ONLY: To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), Rocket Lab Employees must be a U.S. citizen, lawful U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be eligible to obtain the required authorizations from the U.S. Department of State and/or the U.S. Department of Commerce, as applicable. Learn more about ITAR here. Rocket Lab provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment at Rocket Lab, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Applicants requiring a reasonable accommodation for the application/interview process for a job in the United States should contact Giulia Johnson at dedicated resource is intended solely to assist job seekers with disabilities whose disability prevents them from being able to apply/interview. Only messages left for this purpose will be considered. A response to your request may take up to two business days. FOR CANDIDATES SEEKING TO WORK IN NEW ZEALAND OFFICES ONLY: For security reasons, background checks will be undertaken prior to any employment offers being made to an applicant. These checks will include nationality checks as it is a requirement of this position that you be eligible to access equipment and data regulated by the United States' International Traffic in Arms Regulations. Under these Regulations, you may be ineligible for this role if you do not hold citizenship of Australia, Japan, New Zealand, Switzerland, the European Union, or a country that is part of NATO, or if you hold ineligible dual citizenship or nationality. For more information on these Regulations, click here ITAR Regulations.

This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph. The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities As an experienced technology professional, you will be responsible for: - Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs - Providing technical guidance and troubleshooting support throughout project delivery - Collaborating with stakeholders to gather requirements and propose effective migration strategies - Acting as a trusted advisor to customers on industry trends and emerging technologies - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team About AWS AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS - Bachelor's degree in Computer Science, Engineering, or a related field - 5+ years of work with software development lifecycle from conception to delivery experience - Experience in designing, planning and implementing applications and/or database migrations to the cloud - 5+ years of external or internal customer facing, complex and large scale project management experience - Current, active US Government Security Clearance of TS/SCI with Polygraph PREFERRED QUALIFICATIONS - Experience presenting technical solutions to diverse audiences in pre-sales environments - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Experience in performance optimization and cost management for cloud environments - Database experience (e.g. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) - Experience with automation and scripting (e.g., Terraform, Python) - Knowledge of security and compliance standards (e.g., HIPAA, GDPR) - Experience with AWS data/file transfer solutions including AWS Application Migration Service (MGN), AWS Database Migration Service (DMS), and/or AWS DataSync Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, MO, St. Louis - 153 800.00 USD annually

AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the servers that use them. As the Software Development Engineer for the Neuron Runtime Team, you will be responsible for working alongside a team of engineers to develop and maintain high-performance runtime libraries and drivers for machine learning applications and AI accelerators. You will work on design, development, and deployment of Neuron Runtime and other Neuron components. The profiler plays a crucial role to internal and external customers in optimizing AI workloads across hardware platforms such as Trainium and Inferentia devices, by providing deep insights into performance bottlenecks and system behavior. Improving performance of ML Kernels and ML Frameworks. In this role, you will manage the full development life cycle of the Neuron Runtime, ensuring scalability, reliability, and usability. You will collaborate with cross-functional teams to ensure that the our C++ compiler generates key information so customers can understand and optimize the performance of our custom hardware. Additionally, you will drive innovations that allow the profiler to support multiple frameworks, such as PyTorch, JAX, and XLA. A successful candidate will have experience in architecting, building, and operating distributed systems with a focus on high availability and fault tolerance, Hands-on experience with AWS services (e.g., EC2, ECS, CloudWatch, S3, Lambda) in production environments and track record in Owning services end-to-end including deployment, monitoring, alarming, on-call, and post-incident review. A day in the life You will work with the executive leadership and other senior management and technical leaders to define product directions and deliver them to customers. We build massive-scale distributed training and inference solutions. This organization builds the full stack of software, servers and chips to accelerate at the highest scale. About the team Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Cupertino - 165 600.00 USD annually USA, WA, Seattle - 143 400.00 USD annually

Job Description Job Description Benefits: Bonus based on performance Dental insurance Health insurance Vision insurance Qualifications: TCP/IP, Security Architecture, VPN, AWS Cloud, Identity and Access Management experience Enterprise-level firewall experience Experience configuring, deploying, supporting remote connectivity for client to site and site to site VPN Strong knowledge of network access control (NAC), AAA (authentication, authorization, and accounting), and security protocols such as RADIUS, TACACS+, and 802.1x in wired and wireless environments Experience architecting hybrid AWS and on-premises Expert knowledge of current features, planned future capabilities, and limitations of the commercial cloud platforms (AWS) Experience developing Infrastructure as Code (IaC) solutions in in Python, Ansible & Terraform. Strong foundation in IaC principles and methodologies. AWS, Palo Alto, Cisco & Aviatrix Certifications will be a plus Palo Alto Prisma Access and Prisma Cloud experience will be a plus Experience with Cloud networking technologies such as Aviatrix will be a plus Experience implementing networking designs in support of enterprise Artificial Intelligence and Machine Learning solutions will be a plus Responsibilities Consulting with support and application teams to develop technical requirements Designing, documenting, and delivering network security solutions Review, recommend, and deliver improvements to the steady-state environment Provide occasional level-3 support for production incidents Strategic planning in collaboration with department leadership Driving complex technical information security projects to ensure on-time delivery

Job Description Job Description Senior Network Architect Full Time, Aberdeen, MD TS w/ SCI eligibility Referral bonus: $1,500 Sign-on Bonus: $2,500 Semper Valens Solutions is seeking an experienced Senior Network Architect to support Project Manager Intelligence Systems & Analytics (PM IS&A) and Project Linchpin, the U.S. Army's high-visibility Artificial Intelligence and Machine Learning (AI/ML) modernization initiative. This position plays a critical role in designing and optimizing the network infrastructure that enables mission-critical Army intelligence capabilities. The successful candidate will provide technical leadership in the design, analysis, documentation, and modernization of complex intelligence network architectures across the Department of Defense Information Network (DODIN-A) and Army intelligence environments. Key Responsibilities Develop, document, and maintain current ("As-Is") and future-state ("To-Be") network architectures supporting Army intelligence systems. Produce architecture products that comply with Department of Defense Architecture Framework (DoDAF) and Enterprise Architecture (EA) standards. Monitor and analyze network performance using enterprise network management and packet analysis tools to identify bandwidth constraints, latency issues, and other performance bottlenecks. Collaborate with network service providers to evaluate traffic patterns and optimize network performance across tactical and strategic environments. Design, evaluate, and recommend scalable network solutions that improve performance, resiliency, and availability. Develop technical specifications, contingency plans, and alternate routing strategies to support mission continuity. Partner with Program Executive Offices (PEOs), Army Cyber Command (ARCYBER), systems engineers, and intelligence stakeholders to translate operational requirements into modernized network solutions. Provide technical leadership and brief network architecture recommendations, risks, and modernization strategies to senior government and military leadership. Support the integration of emerging technologies while ensuring compliance with Army and DoD cybersecurity and network standards. Required Skills and Experience Extensive experience in enterprise network architecture, network systems engineering, and topology design within Department of Defense environments. Demonstrated expertise in network capacity planning, performance analysis, bottleneck identification, and infrastructure optimization for large-scale distributed networks. Strong understanding of Army and DoD networking policies, standards, and regulations, including AR 25-1 and related guidance. Experience operating within secure, mission-critical intelligence or defense environments. Proficiency with enterprise network monitoring, diagnostic, and packet analysis tools. Excellent written and verbal communication skills, including the ability to brief senior military and civilian leadership. Proven ability to lead technical teams and collaborate effectively across multiple engineering disciplines. Required Clearance Active Top Secret security clearance is required. Eligibility for Sensitive Compartmented Information (SCI) access is strongly preferred due to the nature of supported Army intelligence programs. Required Qualifications Bachelor's degree in Electrical Engineering, Electronics Engineering, Systems Engineering, Software Engineering, Computer Engineering, Computer Science, Mechanical Engineering, or a related technical discipline. Minimum of fifteen (15) years of relevant professional experience. Substitution: A Master's degree in a related technical field and a minimum of eight (8) years of relevant experience may be substituted for the bachelor's degree and fifteen (15) years of experience requirement. Travel Travel is expected to be less than 25% and may include both CONUS and OCONUS locations. Work Environment This position is located at Aberdeen Proving Ground (APG), Maryland, and is co-located with the customer and other government contractors in secure government office facilities. About Semper Valens Solutions: Semper Valens Solutions, Inc. (SVS) is a Service-Disabled Veteran Owned Small Business (SDVOSB) providing Cost Effective Software and Systems Engineering, Field Support, Training and Full Life cycle Support Management to the DOD and VA community. At Semper Valens, our vision is to remain a creative, cutting edge and cost-effective solutions provider where our shared intellect, industry experience, and technology excellence, make a positive difference in our customer's success. Our solutions help bridge the gap between IT and business prioritizations to optimize budgets, risks and operational processes. We search for outstanding technical professionals, hiring at all levels of the experience spectrum; intermediate, journeyman and senior. Consider us for your career plan. Semper Valens Solutions is an Equal Opportunity Employer Semper Valens Solutions proactively fulfills its role as an equal opportunity employer. We do not discriminate against any employee or applicant for employment because of race, color, sex, religion, age, sexual orientation, gender identity and expression, national origin, marital/parental status, pregnancy/childbirth, or related conditions, physical or mental disability, genetic information, status as a Disabled Veteran, Recently Separated Veteran, Active-Duty Wartime or Campaign Badge Veteran, Armed Forces Services Medal, or any other characteristic protected by law. If you require a reasonable accommodation to apply for a position with Semper Valens Solutions through its online applicant system, please contact Semper Valens Solutions Human Resources Department at . Semper Valens Solutions is an affirmative action/equal opportunity employer - minorities, females, disabled, and protected veterans are urged to apply. Applicants have rights under Federal Employment Laws. All Jobs at Semper Valens Solutions:

New US based .NET team tasked with making an existing, modern platform utilize Microsoft's latest suite of enterprise AI tools and services. This Jobot Job is hosted by: Charles Simmons Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $160,000 - $200,000 per year A bit about us: We're transforming how government agencies digitize forms and automate workflows. Our new initiative brings AI directly into this process - using LLMs, vector search, and structured PDF parsing to accelerate public service delivery. We're not just bolting AI onto the side. It's becoming core to how our platform works. We're looking for a senior machine learning engineer to take the lead on this effort. You'll be the architect of our AI capability - not just a contributor. Your work will touch thousands of public-facing government forms, helping real people get things done faster and more accurately. This isn't an R&D team running experiments - it's about delivering intelligent automation, right now. Why join us? 100% remote based in the US Help shape the AI transformation of public sector services Lead initiatives that ship real impact, not just prototypes Greenfield development on a proven, profitable platform Comprehensive Health, Vision, Dental coverage for individuals and families Job Details You'll design and build our machine learning infrastructure - starting with vector search and retrieval-augmented generation and expanding into fine-tuned LLMs with human feedback loops. You'll work across product and engineering to embed intelligent behaviors into our no-code form builder. This is not a research job or a sandbox role - it's a real opportunity to push AI into production at scale. What you'll do Build and tune vector-based retrieval pipelines using OpenAI embeddings and Azure AI Search Design prompt strategies and agents to translate parsed PDF data into form component schemas Fine-tune LLMs for structured output generation with low-latency performance in mind Lead the development of an RLHF loop that incorporates builder UI feedback and audit data Help architect systems that blend traditional APIs and probabilistic inference reliably Work alongside full-stack and platform engineers to get it all running in production Stay plugged into the latest model capabilities, and make smart calls on what to adopt Tech you'll use Azure AI Studio, Azure OpenAI, GPT-4o Python (for agents, functions, orchestration), .NET 8 (for integration layers) Azure AI Search, CosmosDB, MSSQL Kubernetes (AKS), Azure Blob, Octopus for CI/CD Extend.ai for structured PDF parsing What we're looking for 5+ years in applied ML, including experience with retrieval, embeddings, and prompt engineering Strong Python skills and familiarity with production-grade ML pipelines Experience designing and tuning RAG workflows with hybrid search Familiarity with RLHF and fine-tuning on structured JSON output Solid grasp of system-level thinking-how to bring ML into product environments cleanly Nice to have: .NET understanding, especially for integration and orchestration layers What success looks like in 6 months You've shipped a working vector search + RAG pipeline integrated into our form builder You've scoped and kicked off our first LLM fine-tuning cycle We're collecting human feedback to improve model accuracy You've helped define the roadmap for AI integrations across the platform Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $200,000 - $275,000 per year A bit about us: We are partnering with a rapidly growing, venture-backed technology company operating at the intersection of Artificial Intelligence and cybersecurity to hire an AI Solutions Architect focused on Federal customers. This is not a traditional Solutions Architect position where you simply deliver presentations and hand opportunities back to Engineering. We are looking for someone who can architect, build, deploy, demonstrate, and troubleshoot real AI solutions while working directly with mission owners across the Intelligence Community, Department of Defense, DHS, and civilian federal agencies. You will serve as the technical lead throughout the customer journey-from initial discovery and architecture discussions through proof-of-value, deployment, integration, and technical win. The right person will be equally comfortable writing Python, deploying Kubernetes into an air-gapped environment, building an AI proof of concept, whiteboarding an architecture, and presenting the solution to senior government stakeholders. Why join us? You'll join a well-funded, rapidly scaling company building technology in one of the most important emerging areas of cybersecurity: protecting AI systems themselves. The company has recently completed a significant new funding round and is continuing to expand its engineering, product, and federal organizations. The opportunity offers: Fully remote work within the United States Significant exposure to cutting-edge AI and cybersecurity technology Direct involvement with important federal AI initiatives High technical autonomy and ownership Opportunity to work closely with Product, Research, Engineering, and customers Flexible paid time off Company holidays Home-office and connectivity support Dedicated learning and development funding for training, certifications, conferences, and industry events If you're a deeply technical Solutions Architect who understands Federal missions, AI/ML, cloud-native infrastructure, and security-and you want to help solve the emerging challenge of securing AI systems-we'd love to speak with you. Job Details What You'll Do Lead Federal Technical Engagements: Partner with federal Account Directors to lead technical strategy across complex government opportunities. Conduct discovery with mission owners, AI/ML engineers, security teams, architects, and executive stakeholders. Understand customers' AI initiatives, architectures, data pipelines, infrastructure, security requirements, and compliance constraints. Translate loosely defined mission challenges into clearly scoped technical evaluations and proof-of-value engagements. Establish measurable success criteria, timelines, technical requirements, and exit conditions. Serve as a trusted technical advisor and provide candid guidance around where the platform is-and is not-the right solution. Architect & Deploy Real Solutions: Architect and deploy an enterprise AI security platform across both connected SaaS and fully disconnected/air-gapped environments. Package and transfer container images, Helm charts, dependencies, and supporting artifacts into environments with limited or no internet connectivity. Deploy and administer Kubernetes-based environments utilizing technologies such as: Kubernetes Docker Helm Private container registries OpenShift VMware / Proxmox AWS, including government and restricted environments Troubleshoot deployment, networking, integration, and infrastructure issues during customer evaluations and initial implementations. Work directly with SDKs and APIs to build meaningful integrations into customer environments. Build AI Demonstrations & Proofs of Concept: Develop mission-focused AI applications and technical demonstrations involving: Large Language Models Agentic AI Computer Vision Model inference Retrieval/RAG architectures AI/ML pipelines Demonstrate how AI systems can be attacked, compromised, or manipulated-and how those systems can be protected. Integrate AI security capabilities throughout the ML lifecycle, including model scanning, CI/CD pipelines, application security, runtime detection, and response. Build credible demonstrations that resonate with engineers and mission owners rather than relying on canned sales demos. Advise on AI Security: Help federal customers understand how to secure: AI/ML models LLM-powered applications AI agents Data and inference pipelines Model supply chains AI infrastructure Production AI workloads Apply established security concepts and frameworks including: MITRE ATLAS OWASP Top 10 for LLM Applications NIST AI Risk Management Framework Adversarial machine learning concepts and attack methodologies Communicate & Influence: Deliver live technical demonstrations, architecture sessions, whiteboard discussions, and executive briefings. Present effectively to audiences ranging from ML engineers and data scientists to cybersecurity leaders and senior executives. Create technical evaluation reports, reference architectures, deployment documentation, and integration guides. Represent the organization at federal engagements, conferences, webinars, and industry events. Translate lessons learned in the field into reusable demonstrations, technical enablement, and feedback for Product, Research, and Engineering. What We're Looking For We are looking for a highly technical, customer-facing architect who has actually worked inside federal environments and understands the realities of deploying sophisticated technology into government infrastructure. Ideal candidates will bring: 5+ years of experience in Solutions Architecture, Solutions Engineering, Applied AI Engineering, ML Engineering, or a similar customer-facing technical role. Direct experience supporting federal customers across the Intelligence Community, DoD, DHS, or civilian agencies. Experience operating within federal missions-not simply selling technology into federal accounts. Strong hands-on Python development skills. Practical experience building and integrating modern AI/ML systems. Experience with technologies and concepts such as: PyTorch Hugging Face ONNX LLM APIs Model inference RAG Agentic AI architectures AI/ML pipelines Strong hands-on experience with Docker, Kubernetes, and Helm. Experience deploying applications into restricted, disconnected, or air-gapped environments. Understanding of MLOps, CI/CD, and the lifecycle of models from development through production. Working knowledge of cybersecurity and AI security concepts. Strong technical presentation and communication skills. Ability to take an ambiguous customer problem and independently turn it into an executable technical plan. Ability and willingness to travel for customer engagements and industry events. Especially Valuable Experience: Additional experience in any of the following areas would be highly desirable: Active Top Secret or higher-level security clearance. Supporting AI/ML programs in classified environments. Securing production AI or machine-learning systems. AI/LLM red teaming or adversarial machine learning. AI security or AI evaluation tooling. Model formats and AI supply-chain security, including: ONNX SafeTensors GGUF Pickle-based serialization AWS GovCloud or other government cloud environments. OpenShift and private Kubernetes environments. Federal cybersecurity or compliance frameworks. Certifications such as Kubernetes, AWS, Azure, CISSP, or Security+. Public technical work including GitHub repositories, Hugging Face projects, conference presentations, open-source contributions, or technical writing. The Type of Person Who Will Thrive Here: This organization moves quickly and operates much more like a high-growth technology company than a traditional government contractor. We're looking for someone who enjoys solving problems without a perfectly defined playbook. You should be someone who can walk into an ambiguous federal mission problem, ask the right questions, architect a solution, stand up the environment, write the integration, demonstrate it live, troubleshoot what breaks, and explain the outcome to both engineers and executives. Intellectual curiosity is especially important. The strongest candidates are typically people who are constantly experimenting-building side projects, maintaining home labs, testing new AI frameworks, contributing to open source, publishing technical content, or simply teaching themselves technologies because they want to understand how they work. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes . click apply for full job details

This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $200,000 - $275,000 per year A bit about us: We are partnering with a rapidly growing, venture-backed technology company operating at the intersection of Artificial Intelligence and cybersecurity to hire an AI Solutions Architect focused on Federal customers. This is not a traditional Solutions Architect position where you simply deliver presentations and hand opportunities back to Engineering. We are looking for someone who can architect, build, deploy, demonstrate, and troubleshoot real AI solutions while working directly with mission owners across the Intelligence Community, Department of Defense, DHS, and civilian federal agencies. You will serve as the technical lead throughout the customer journey-from initial discovery and architecture discussions through proof-of-value, deployment, integration, and technical win. The right person will be equally comfortable writing Python, deploying Kubernetes into an air-gapped environment, building an AI proof of concept, whiteboarding an architecture, and presenting the solution to senior government stakeholders. Why join us? You'll join a well-funded, rapidly scaling company building technology in one of the most important emerging areas of cybersecurity: protecting AI systems themselves. The company has recently completed a significant new funding round and is continuing to expand its engineering, product, and federal organizations. The opportunity offers: Fully remote work within the United States Significant exposure to cutting-edge AI and cybersecurity technology Direct involvement with important federal AI initiatives High technical autonomy and ownership Opportunity to work closely with Product, Research, Engineering, and customers Flexible paid time off Company holidays Home-office and connectivity support Dedicated learning and development funding for training, certifications, conferences, and industry events If you're a deeply technical Solutions Architect who understands Federal missions, AI/ML, cloud-native infrastructure, and security-and you want to help solve the emerging challenge of securing AI systems-we'd love to speak with you. Job Details What You'll Do Lead Federal Technical Engagements: Partner with federal Account Directors to lead technical strategy across complex government opportunities. Conduct discovery with mission owners, AI/ML engineers, security teams, architects, and executive stakeholders. Understand customers' AI initiatives, architectures, data pipelines, infrastructure, security requirements, and compliance constraints. Translate loosely defined mission challenges into clearly scoped technical evaluations and proof-of-value engagements. Establish measurable success criteria, timelines, technical requirements, and exit conditions. Serve as a trusted technical advisor and provide candid guidance around where the platform is-and is not-the right solution. Architect & Deploy Real Solutions: Architect and deploy an enterprise AI security platform across both connected SaaS and fully disconnected/air-gapped environments. Package and transfer container images, Helm charts, dependencies, and supporting artifacts into environments with limited or no internet connectivity. Deploy and administer Kubernetes-based environments utilizing technologies such as: Kubernetes Docker Helm Private container registries OpenShift VMware / Proxmox AWS, including government and restricted environments Troubleshoot deployment, networking, integration, and infrastructure issues during customer evaluations and initial implementations. Work directly with SDKs and APIs to build meaningful integrations into customer environments. Build AI Demonstrations & Proofs of Concept: Develop mission-focused AI applications and technical demonstrations involving: Large Language Models Agentic AI Computer Vision Model inference Retrieval/RAG architectures AI/ML pipelines Demonstrate how AI systems can be attacked, compromised, or manipulated-and how those systems can be protected. Integrate AI security capabilities throughout the ML lifecycle, including model scanning, CI/CD pipelines, application security, runtime detection, and response. Build credible demonstrations that resonate with engineers and mission owners rather than relying on canned sales demos. Advise on AI Security: Help federal customers understand how to secure: AI/ML models LLM-powered applications AI agents Data and inference pipelines Model supply chains AI infrastructure Production AI workloads Apply established security concepts and frameworks including: MITRE ATLAS OWASP Top 10 for LLM Applications NIST AI Risk Management Framework Adversarial machine learning concepts and attack methodologies Communicate & Influence: Deliver live technical demonstrations, architecture sessions, whiteboard discussions, and executive briefings. Present effectively to audiences ranging from ML engineers and data scientists to cybersecurity leaders and senior executives. Create technical evaluation reports, reference architectures, deployment documentation, and integration guides. Represent the organization at federal engagements, conferences, webinars, and industry events. Translate lessons learned in the field into reusable demonstrations, technical enablement, and feedback for Product, Research, and Engineering. What We're Looking For We are looking for a highly technical, customer-facing architect who has actually worked inside federal environments and understands the realities of deploying sophisticated technology into government infrastructure. Ideal candidates will bring: 5+ years of experience in Solutions Architecture, Solutions Engineering, Applied AI Engineering, ML Engineering, or a similar customer-facing technical role. Direct experience supporting federal customers across the Intelligence Community, DoD, DHS, or civilian agencies. Experience operating within federal missions-not simply selling technology into federal accounts. Strong hands-on Python development skills. Practical experience building and integrating modern AI/ML systems. Experience with technologies and concepts such as: PyTorch Hugging Face ONNX LLM APIs Model inference RAG Agentic AI architectures AI/ML pipelines Strong hands-on experience with Docker, Kubernetes, and Helm. Experience deploying applications into restricted, disconnected, or air-gapped environments. Understanding of MLOps, CI/CD, and the lifecycle of models from development through production. Working knowledge of cybersecurity and AI security concepts. Strong technical presentation and communication skills. Ability to take an ambiguous customer problem and independently turn it into an executable technical plan. Ability and willingness to travel for customer engagements and industry events. Especially Valuable Experience: Additional experience in any of the following areas would be highly desirable: Active Top Secret or higher-level security clearance. Supporting AI/ML programs in classified environments. Securing production AI or machine-learning systems. AI/LLM red teaming or adversarial machine learning. AI security or AI evaluation tooling. Model formats and AI supply-chain security, including: ONNX SafeTensors GGUF Pickle-based serialization AWS GovCloud or other government cloud environments. OpenShift and private Kubernetes environments. Federal cybersecurity or compliance frameworks. Certifications such as Kubernetes, AWS, Azure, CISSP, or Security+. Public technical work including GitHub repositories, Hugging Face projects, conference presentations, open-source contributions, or technical writing. The Type of Person Who Will Thrive Here: This organization moves quickly and operates much more like a high-growth technology company than a traditional government contractor. We're looking for someone who enjoys solving problems without a perfectly defined playbook. You should be someone who can walk into an ambiguous federal mission problem, ask the right questions, architect a solution, stand up the environment, write the integration, demonstrate it live, troubleshoot what breaks, and explain the outcome to both engineers and executives. Intellectual curiosity is especially important. The strongest candidates are typically people who are constantly experimenting-building side projects, maintaining home labs, testing new AI frameworks, contributing to open source, publishing technical content, or simply teaching themselves technologies because they want to understand how they work. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes . click apply for full job details

This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $200,000 - $275,000 per year A bit about us: We are partnering with a rapidly growing, venture-backed technology company operating at the intersection of Artificial Intelligence and cybersecurity to hire an AI Solutions Architect focused on Federal customers. This is not a traditional Solutions Architect position where you simply deliver presentations and hand opportunities back to Engineering. We are looking for someone who can architect, build, deploy, demonstrate, and troubleshoot real AI solutions while working directly with mission owners across the Intelligence Community, Department of Defense, DHS, and civilian federal agencies. You will serve as the technical lead throughout the customer journey-from initial discovery and architecture discussions through proof-of-value, deployment, integration, and technical win. The right person will be equally comfortable writing Python, deploying Kubernetes into an air-gapped environment, building an AI proof of concept, whiteboarding an architecture, and presenting the solution to senior government stakeholders. Why join us? You'll join a well-funded, rapidly scaling company building technology in one of the most important emerging areas of cybersecurity: protecting AI systems themselves. The company has recently completed a significant new funding round and is continuing to expand its engineering, product, and federal organizations. The opportunity offers: Fully remote work within the United States Significant exposure to cutting-edge AI and cybersecurity technology Direct involvement with important federal AI initiatives High technical autonomy and ownership Opportunity to work closely with Product, Research, Engineering, and customers Flexible paid time off Company holidays Home-office and connectivity support Dedicated learning and development funding for training, certifications, conferences, and industry events If you're a deeply technical Solutions Architect who understands Federal missions, AI/ML, cloud-native infrastructure, and security-and you want to help solve the emerging challenge of securing AI systems-we'd love to speak with you. Job Details What You'll Do Lead Federal Technical Engagements: Partner with federal Account Directors to lead technical strategy across complex government opportunities. Conduct discovery with mission owners, AI/ML engineers, security teams, architects, and executive stakeholders. Understand customers' AI initiatives, architectures, data pipelines, infrastructure, security requirements, and compliance constraints. Translate loosely defined mission challenges into clearly scoped technical evaluations and proof-of-value engagements. Establish measurable success criteria, timelines, technical requirements, and exit conditions. Serve as a trusted technical advisor and provide candid guidance around where the platform is-and is not-the right solution. Architect & Deploy Real Solutions: Architect and deploy an enterprise AI security platform across both connected SaaS and fully disconnected/air-gapped environments. Package and transfer container images, Helm charts, dependencies, and supporting artifacts into environments with limited or no internet connectivity. Deploy and administer Kubernetes-based environments utilizing technologies such as: Kubernetes Docker Helm Private container registries OpenShift VMware / Proxmox AWS, including government and restricted environments Troubleshoot deployment, networking, integration, and infrastructure issues during customer evaluations and initial implementations. Work directly with SDKs and APIs to build meaningful integrations into customer environments. Build AI Demonstrations & Proofs of Concept: Develop mission-focused AI applications and technical demonstrations involving: Large Language Models Agentic AI Computer Vision Model inference Retrieval/RAG architectures AI/ML pipelines Demonstrate how AI systems can be attacked, compromised, or manipulated-and how those systems can be protected. Integrate AI security capabilities throughout the ML lifecycle, including model scanning, CI/CD pipelines, application security, runtime detection, and response. Build credible demonstrations that resonate with engineers and mission owners rather than relying on canned sales demos. Advise on AI Security: Help federal customers understand how to secure: AI/ML models LLM-powered applications AI agents Data and inference pipelines Model supply chains AI infrastructure Production AI workloads Apply established security concepts and frameworks including: MITRE ATLAS OWASP Top 10 for LLM Applications NIST AI Risk Management Framework Adversarial machine learning concepts and attack methodologies Communicate & Influence: Deliver live technical demonstrations, architecture sessions, whiteboard discussions, and executive briefings. Present effectively to audiences ranging from ML engineers and data scientists to cybersecurity leaders and senior executives. Create technical evaluation reports, reference architectures, deployment documentation, and integration guides. Represent the organization at federal engagements, conferences, webinars, and industry events. Translate lessons learned in the field into reusable demonstrations, technical enablement, and feedback for Product, Research, and Engineering. What We're Looking For We are looking for a highly technical, customer-facing architect who has actually worked inside federal environments and understands the realities of deploying sophisticated technology into government infrastructure. Ideal candidates will bring: 5+ years of experience in Solutions Architecture, Solutions Engineering, Applied AI Engineering, ML Engineering, or a similar customer-facing technical role. Direct experience supporting federal customers across the Intelligence Community, DoD, DHS, or civilian agencies. Experience operating within federal missions-not simply selling technology into federal accounts. Strong hands-on Python development skills. Practical experience building and integrating modern AI/ML systems. Experience with technologies and concepts such as: PyTorch Hugging Face ONNX LLM APIs Model inference RAG Agentic AI architectures AI/ML pipelines Strong hands-on experience with Docker, Kubernetes, and Helm. Experience deploying applications into restricted, disconnected, or air-gapped environments. Understanding of MLOps, CI/CD, and the lifecycle of models from development through production. Working knowledge of cybersecurity and AI security concepts. Strong technical presentation and communication skills. Ability to take an ambiguous customer problem and independently turn it into an executable technical plan. Ability and willingness to travel for customer engagements and industry events. Especially Valuable Experience: Additional experience in any of the following areas would be highly desirable: Active Top Secret or higher-level security clearance. Supporting AI/ML programs in classified environments. Securing production AI or machine-learning systems. AI/LLM red teaming or adversarial machine learning. AI security or AI evaluation tooling. Model formats and AI supply-chain security, including: ONNX SafeTensors GGUF Pickle-based serialization AWS GovCloud or other government cloud environments. OpenShift and private Kubernetes environments. Federal cybersecurity or compliance frameworks. Certifications such as Kubernetes, AWS, Azure, CISSP, or Security+. Public technical work including GitHub repositories, Hugging Face projects, conference presentations, open-source contributions, or technical writing. The Type of Person Who Will Thrive Here: This organization moves quickly and operates much more like a high-growth technology company than a traditional government contractor. We're looking for someone who enjoys solving problems without a perfectly defined playbook. You should be someone who can walk into an ambiguous federal mission problem, ask the right questions, architect a solution, stand up the environment, write the integration, demonstrate it live, troubleshoot what breaks, and explain the outcome to both engineers and executives. Intellectual curiosity is especially important. The strongest candidates are typically people who are constantly experimenting-building side projects, maintaining home labs, testing new AI frameworks, contributing to open source, publishing technical content, or simply teaching themselves technologies because they want to understand how they work. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes . click apply for full job details

Own complete feature engineering on a successful, scaling SaaS platform using AI native development applied to ethical AI driven edtech. This Jobot Job is hosted by: Charles Simmons Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $100,000 - $170,000 per year A bit about us: We're looking for a motivated Software Engineer, specialized or generalized that is seeking an immersive early stage, AI first, software startup opportunity. This is a generalized search, the goal is to add the right culture fit capable to taking ownership on significant portions of the platform and feature development initiatives. Currently there are hundreds of thousands of users across the web application, native iOS, and Android applications. The backend workflow automation engine ingests educational material and contexts to populate various teaching and studying functions through games, flashcards, interactive collaborative programs, tests, and virtual audio/video classes. The users profile improves through the platform to determine which strategies improve learning best so the more courses taken generates more efficient learning. Because of this there are needs for front end, backend, machine learning, synthesis layer AI, data engineering, and infrastructure engineering expertise. Why join us? Own significant projects on a successful platform Work with a small, elite team of experienced commercial SaaS engineers with the latest Agentic tooling Full time in office experience working closely with everyone in the business Comprehensive health/vision/dental insurance coverage PTO and paid holidays Competitive salary at all levels of experience, with significant equity Job Details Generally hiring for Software Engineers, Senior SWE, Lead SWE wearing a variety of hats across the stack, but also considering candidates more specialized e.g. mostly front-end, or back-end, or AI engineering/research) if the fit is right. Our stack includes React/Typescript, PHP, MySQL, and Redis. Though frankly, we care more about overall caliber/talent than about knowledge of any specific language/tool. It's also worth mentioning that right now we're in office 5 days a week to facilitate speed/agility. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

About Innovative Labs We are a leading maker of liquid dietary supplements, known for our innovation, strong R&D, and focus on quality. With our in-house team, we create custom liquid products for top wellness, nutraceutical, and food brands. At Innovative Labs, we believe in teamwork and creativity. For over 15 years, we've helped brands bring new ideas to life with high-quality liquids, gels, purees, pastes, oils, and emulsions. Our modern facilities and dedicated team work together to make products that matter. Here, you'll grow, learn, and be part of a team that's always improving and moving forward. Why You'll Love Working Here • Your Work Matters: Support the Brands People Use Every Day • Collaborate & Create: Join a team that values fresh ideas, open communication, and teamwork • Grow Your Career: We encourage curiosity, learning, and stepping up to new challenges • Supportive Culture: Thrive in a workplace that values your contributions and well-being About the Job We are looking for a senior engineer to own the technology behind our manufacturing business. You will manage our enterprise infrastructure across cloud, on-premises and hosted environments, administer our ERP and the SaaS applications our teams rely on every day (lab, quality, production and project management), keep them all connected, and work with leaders across the company to put AI and automation to work for the business. You will be trusted to make decisions and see them through, with a direct effect on how the business runs. What You'll Do Infrastructure and Systems Administration Own our Microsoft Azure environment: Azure SQL, virtual machines, networking, storage, Azure Data Factory, identity and cost management Administer Microsoft 365 and Entra ID / Active Directory: accounts, groups, access control, conditional access and SSO Administer the VMware virtual environment and maintain the on-premises and cloud servers (Windows and Linux) behind our internal applications, including patching, backups, monitoring and disaster recovery Apply security best practices: least-privilege access, secrets management, MFA, logging, and regular access reviews AI and Automation Lead AI for the company: own our AI platform and tools, and drive how AI is adopted and used across every department Use AI as an everyday working tool: build, troubleshoot, document and support systems faster with AI assistants and agents (for example, Claude, Microsoft Copilot or Azure OpenAI) Bring systems engineering and AI together: use AI to improve how our systems and integrations work, and give the AI tools you put in place the same testing, security and monitoring as any other system Find and deliver ways to automate manual work across operations and the back office Stay current as AI changes: follow new models, tools and practices Keep learning, and help others learn: grow your own AI skills and help colleagues across the company use AI well Use AI responsibly: help set and follow practical rules for how the company uses AI, with the right controls around company data ERP and Business Systems Administration Act as the main technical administrator of our ERP: configuration, user security, upgrades, database health, and the reporting replica Administer our SaaS and specialized platforms, including LIMS, QMS, MES and production-performance (OEE) systems, and others as we add them Be the escalation point for system issues. Diagnose problems across systems, work with vendors to fix them, and keep vendor relationships and contracts in good order Evaluate new software, lead implementations and upgrades, and retire systems we no longer need Integrations and Development Design, build and support integrations between our satellite systems and the ERP, using REST APIs, Azure Data Factory, Databricks, SQL and scripting Own the data pipelines that keep production, inventory, quality and financial data in sync, with monitoring and alerts so failures are caught before users notice Write and maintain SQL, Python and PHP code for integrations, reports and internal web tools Keep clear documentation for integrations and development Partnership and Governance Partner with department leaders and teams to understand their business needs, then deliver the solution: configure an existing system, build an integration, or design a new tool on our internal web platform Support validation, change control and audit needs for systems that hold quality and compliance data Keep system documentation, runbooks and the system and integration inventory current What Makes You a Great Fit Bachelor's degree in Information Systems, Computer Science, Engineering or a related field, or equivalent professional experience 10+ years in IT systems engineering, enterprise systems administration or a similar role, with at least 5 of those years hands-on with cloud infrastructure Strong Microsoft Azure experience: Azure SQL, VMs, networking, identity (Entra ID), and Azure Data Factory or a comparable integration and data pipeline tool Experience administering an ERP system, ideally in a manufacturing or distribution business A track record of building and supporting system integrations using REST APIs, SQL and at least one scripting language (Python, PowerShell or similar) Strong SQL skills, including writing queries, tuning performance and troubleshooting databases (Microsoft SQL Server / Azure SQL preferred) Working knowledge of VMware, Active Directory, Microsoft 365, Windows Server and Linux administration Sound security habits: access control, secrets handling, backups and incident response Clear communication with non-technical users and leaders, and the ability to explain trade-offs in plain language The judgment to work independently and own outcomes, as a senior member of a small team Curiosity and adaptability: a habit of learning new technology quickly, and a real interest in using AI to change how work gets done Preferred Qualifications Experience in an FDA-regulated or cGMP manufacturing environment, including computer system validation and audit support Hands-on experience with LIMS, QMS, MES or OEE platforms (such as Redzone) Experience with Databricks, Snowflake or other modern data platforms Web development experience (PHP, JavaScript) for internal tools and dashboards Hands-on experience with AI coding assistants, AI agents or large language model APIs Experience with Git and CI/CD The Perks of Joining Our Team Comprehensive health, dental, and vision coverage-plus a few weeks of paid parental leave when it matters most Paid time off and holidays to help you unwind and recharge Real opportunities to grow your skills and make an impact as we evolve A collaborative team that's adaptable, supportive, and driven to succeed together A 401(k) retirement plan with company contributions to help you build your future Ready to innovate with us? Apply now and let's build the future together! PI60d229300da9-2914

What Makes a Honda, is Who makes a Honda Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of "power" that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize "the joy and freedom of mobility" by developing new technologies and an innovative approach to achieve a "zero environmental footprint." We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team. If your goals and values align with Honda's, we want you to join our team to Bring the Future! Job Purpose Working with the Plant ( aka Genpo ) Manufacturing Equipment Services Department (MESD) leadership team, identify chronic or critical equipment or process downtime items. Lead priority trouble items to develop root cause analysis with countermeasure and recurrence prevention actions. Share within the ERS team for horizontal reflection. Provide input and technical application support towards improved standardization of regional production systems. Provide emergency technical support for complex problem analysis and countermeasure as required. Assist Manufacturing Characteristics and Standards (MCS) and Equipment Production (EPD) associates by providing feedback/support on equipment related trouble due to spec, design, and install. Work with EPD associates to coordinate assembly and install of countermeasure activity. Based on Genpo results, identify concerns and provide potential countermeasures to improve reliability centered spec, design, and installation activity. Develop improvement themes working within the ERS team for North American regional improvement. Key Accountabilities Support in the identification of chronic downtime root cause and recommend countermeasure in specialized area. Communicate issues to ERS Stability leadership for regional distribution. (35%) Analyze current manufacturing characteristics and summarize results in comparison to achievement of equipment or process related Genpo targets. Collaborate with D-Leadership and identify areas for focused activity. (25%) Analyze current manufacturing characteristics and summarize results in comparison to achievement of equipment or process related Genpo targets. Collaborate with D-Leadership and identify areas for focused activity. (10%) Attend North American Regional ERS meetings and document results for Senior Management to create improvements to Genpo characteristic improvements. (10%) Support preparation of quarterly and monthly reports of results to gage results and execute PDCA. (10%) Conduct Key Performance Indicator gap analysis and countermeasure activity development. (5%) Support new technology introduction as needed. (5%) Qualifications, Experience, and Skills Minimum Educational Qualifications Bachelor's degree in electrical engineering (concentration in Manufacturing a plus) or related equivalent experience Minimum Experience 2-8 years of electrical engineering work experience in Manufacturing (focus in specific Automotive category like Welding, Assembly, Paint, Stamping or Plastics a plus) Other Job-Specific Skills Understanding of automated equipment electrical hardware/software design, including knowledge of machine safety controls, servo position control, field I/O networking, PLC, and HMI Application of engineering and manufacturing principles Strong verbal, written, and presentation skills to communicate effectively with customers and internal project team Understanding of automotive manufacturing processes. (i.e. Assembly, Paint, Welding, Stamping) Proficient with Microsoft Office and basic 2D and 3D CAD tools Business acumen in a technical environment Project leadership capabilities Please Note: Sponsorship for employment visa status for these positions is unavailable. Applicants requiring sponsorship for employment visa status now or in the future (e.g., F-1 CPT/OPT, H-1B, TN, etc.) will not be considered. Working Conditions Flexible Work Hours Flexible Work Schedule Ability to Travel, both domestic and international ( 5-15 hours of OT per week Weekend and holiday work may be required What differentiates Honda and make us an employer of choice? Total Rewards: Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.) Paid Overtime Regional Bonus (when applicable) Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) Paid time off, including vacation, holidays, shutdown Company Paid Short-Term and Long-Term Disability 401K Plan with company match + additional contribution Relocation assistance (if eligible) Career Growth: Advancement Opportunities Career Mobility Education Reimbursement for Continued Learning Training and Development programs Additional Offerings: Tuition Assistance & Student Loan Repayment Lifestyle Account Childcare Reimbursement Account Elder Care Support Wellbeing Program Community Service and Engagement Programs Product Programs Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.

Edward Jones is seeking a Senior AI Scientist to design, build, and deploy advanced AI/ML solutions that power investment advice, risk modeling, and client personalization across our finance and insurance platforms. You will lead end to end model development, from data exploration and feature engineering to experimentation, validation, and productionization in partnership with engineering and product teams. Responsibilities include developing scalable ML pipelines, applying NLP and deep learning to financial data, ensuring model governance and compliance, and mentoring junior scientists in a collaborative, client first culture. Responsibilities Design and develop advanced AI/ML models for investment advice, risk modeling, and client personalization Lead end-to-end ML lifecycle including data exploration, feature engineering, training, and evaluation Build and maintain scalable ML pipelines and deployment workflows with engineering teams Apply NLP and deep learning techniques to structured and unstructured financial data Ensure model governance, documentation, fairness, and regulatory compliance in a finance context Collaborate with product and business stakeholders to translate client needs into AI solutions Monitor, validate, and improve model performance in production environments Mentor and provide technical guidance to junior data scientists and analysts Contribute to AI strategy, tooling, and best practices across the organization Required Skills Machine learning algorithms (supervised, unsupervised, ensemble methods) Deep learning frameworks (Tensor Flow, Py Torch) Natural language processing and LLMs Python programming (Pandas, Num Py, Scikit-learn) Model deployment and MLOps (Docker, Kubernetes, CI/CD) Cloud platforms (AWS, Azure, or GCP) Data engineering for ML (SQL, data pipelines) Model governance, monitoring, and explainability Time-series and risk modeling for financial data Version control and collaborative development (Git)

Edward Jones is seeking a Senior AI Scientist to design, build, and deploy advanced AI/ML solutions that power investment advice, risk modeling, and client personalization across our finance and insurance platforms. You will lead end to end model development, from data exploration and feature engineering to experimentation, validation, and productionization in partnership with engineering and product teams. Responsibilities include developing scalable ML pipelines, applying NLP and deep learning to financial data, ensuring model governance and compliance, and mentoring junior scientists in a collaborative, client first culture. Responsibilities Design and develop advanced AI/ML models for investment advice, risk modeling, and client personalization Lead end-to-end ML lifecycle including data exploration, feature engineering, training, and evaluation Build and maintain scalable ML pipelines and deployment workflows with engineering teams Apply NLP and deep learning techniques to structured and unstructured financial data Ensure model governance, documentation, fairness, and regulatory compliance in a finance context Collaborate with product and business stakeholders to translate client needs into AI solutions Monitor, validate, and improve model performance in production environments Mentor and provide technical guidance to junior data scientists and analysts Contribute to AI strategy, tooling, and best practices across the organization Required Skills Machine learning algorithms (supervised, unsupervised, ensemble methods) Deep learning frameworks (Tensor Flow, Py Torch) Natural language processing and LLMs Python programming (Pandas, Num Py, Scikit-learn) Model deployment and MLOps (Docker, Kubernetes, CI/CD) Cloud platforms (AWS, Azure, or GCP) Data engineering for ML (SQL, data pipelines) Model governance, monitoring, and explainability Time-series and risk modeling for financial data Version control and collaborative development (Git)

Job Description Job Description Pay rate - $55- 70/hr on C2C Need senior Profiles with We are actively hiring and found your profile very interesting! We'd love the opportunity to connect with you and explore possibilities to build an exciting future together! Job Title: Cortex Principal / Lead ML Engineer - Enterprise Machine Learning Platform (Multi-Cloud) Location: Concord, CA Duration: Long Term We are looking for a seasoned architect with hands-on experience designing and implementing enterprise-scale AI platforms. Key qualifications include: Expertise in end-to-end enterprise ML platform architecture , including multi-cloud environments Strong knowledge of data and compute separation and integration patterns Comprehensive understanding of the Model Development Lifecycle (MDLC) Experience with data protection strategies (data at rest and in transit) Deep understanding of security, technology, and data governance controls Strong expertise in Kubernetes , including OpenShift (OCP) and GKE Proven hands-on experience building enterprise ML platforms Experience with agentic AI solutions and modern development approaches (e.g., rapid prototyping / "vibe coding") Excellent communication and executive presentation skills