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The goal of a Staff Machine Learning Engineer at Scale is to lead the design and deployment of agentic AI systems that operate in real-world, mission-critical government environments. On the Public Sector team, you'll work at the intersection of agentic ML, systems engineering, and applied research, building foundational infrastructure that enables AI systems to reason, plan, and act reliably at national scale. Our Public Sector ML Team partners directly with U.S. defense and intelligence agencies to deploy AI into classified and regulated environments. Through flagship programs like ___ and ___, we are advancing the next generation of agentic AI for geospatial reasoning, planning, and decision support. Staff Machine Learning Engineers play a central role in setting technical direction, owning core architectures, and translating ambitious ideas into production systems trusted by government operators. You will: • Lead the architecture and implementation of agentic AI systems, with a focus on long-horizon reasoning, orchestration, and system-level reliability., • Build and scale agents that perform complex geospatial reasoning, including interpreting, generating, and reasoning over maps and spatial data., • Design and improve retrieval systems across large collections of static and semi-structured documents, enabling agents to surface high-signal context efficiently., • Fine-tune and evaluate embedding models to improve recall and precision for mission-critical datasets., • Design memory systems that allow agents to persist state, operate over long contexts, and learn from prior interactions., • Own and evolve shared agentic infrastructure and core libraries, enabling reuse across teams, products, and Public Sector contracts., • Define evaluation strategies for agentic systems, including robustness testing, failure-mode analysis, and regression testing in production environments., • Partner closely with engineering managers, product leaders, and researchers to scope high-impact initiatives and unblock execution across teams. Ideally You'd Have: • 8+ years of experience building and deploying applied ML systems in production environments., • Deep experience with agentic systems, autonomous workflows, or ML systems that reason and act over multiple steps., • Strong background in ML systems engineering, including model serving, pipelines, monitoring, and evaluation., • Hands-on experience with retrieval systems, embeddings, or representation learning., • Proficiency in Python and modern ML frameworks (ex: PyTorch), with the ability to design systems end to end., • Demonstrated ability to operate at Staff-level scope: setting technical direction, owning ambiguous problems, and driving 01 initiatives to production., • High ownership over 01 systems that move directly into production., • Real-world constraints that force thoughtful engineering tradeoffs, not just model tuning., • Opportunity to shape foundational agentic infrastructure used across multiple teams and missions. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The goal of a Senior Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer experience in production environments. Our machine learning engineers take advantage of robust internal infrastructure and unique access to massive datasets to deliver improvements to our customers. Our Public Sector Machine Learning team is focused on deploying cutting-edge models to mission-critical government systems through products like ___ and ___. Our work spans multiple modalities, with a strong focus on both large language models and computer vision. On the LLM side, we are developing agentic systems that help solve complex operational and planning challenges for government partners. This includes building agent frameworks that integrate with custom retrieval pipelines and production APIs, as well as evaluation tools to benchmark and refine agent behavior. We're also advancing research in areas like reinforcement learning for agentic LLMs, with successful deployment into real-world operational environments. On the computer vision front, we're training advanced models to increase labeling throughput and automate perception tasks. Our efforts include building large-scale fine-tuning pipelines, training models across multiple modalities, and developing generalizable vision foundation models to support a wide range of defense applications. • Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers., • Improve and maintain production models through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics, • Collaborate with product and research teams to identify and prototype ML-driven product enhancements, including for upcoming product lines, • Work with massive datasets to develop both generic models as well as fine tune models for specific products, • Build scalable machine learning infrastructure to automate and optimize our ML services, • Serve as a cross-functional representative and advocate for machine learning techniques across engineering and product organizations, • Be comfortable learning new technologies quickly and managing multiple priorities in a fast-paced environment, • This role will require an active security clearance or the ability to obtain a security clearance., • Extensive experience using computer vision, deep learning and deep reinforcement Learning, or natural language processing in a production environment, • Solid background in algorithms, data structures, and object-oriented programming, • Strong programing skills in Python, experience in Tensorflow or PyTorch, • Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization, • Experience working with cloud platforms (eg. AWS or GCP) and deploying machine learning models in cloud environments, • Experience with computer vision, generative AI models, large language models, or agentic systems About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Job Type: Term (Fixed Term) Overview RAND's ___, part of the Global and Emerging Risks (GER) Division conducts cutting-edge research on transformative, high-impact technologies-including artificial intelligence and biotechnology-to shape policies that protect global security and advance the public good. Your work will address key questions related to securing AI systems, understanding their cyber capabilities, and examining their policy implications. You will be responsible for leading complex projects that span technical research, policy analysis, and infrastructure development. For example, you might lead projects to develop AI-specific threat models, build software tools for AI cyber capability evaluations, or identify critical areas for new security R&D. Your work will inform analysis delivered to senior government and industry leaders. You will communicate the results of your work to both technical and non-technical audiences through quick-turnaround policy briefs and detailed written research products. A recent example of one of our research products is the ___ report, which explored protecting frontier AI models from theft and misuse. This position is structured as a two-year appointment with options to renew and explore opportunities for longer-term employment at RAND thereafter. RAND's reputation for excellence is built on our commitment to high-quality, rigorous analysis and objectivity. As a Visiting AI Security Resident, you'll maintain that excellence while engaging with some of the most pressing challenges of our time. Qualifications All research positions at RAND require excellent analytic skills; the ability to communicate clearly and effectively, both orally and in writing; the ability to work effectively as a member of a multi-disciplinary team; and a strong commitment to RAND's core values of quality and objectivity. Required: * Technical experience in security engineering, software engineering, firmware engineering, hardware engineering, or related fields * Technical management experience, including leading cross-functional teams, managing project budgets, and mentoring and developing team members * Demonstrated ability to successfully lead complex projects to completion * Proficiency in Python, Java, C/C++, or other popular programming languages * Ability to develop rigorous and comprehensive ___ and identify potential system vulnerabilities * Excellent communication skills, both written and verbal, tailored to technical and non-technical audiences * Ability to reason about policy options given different technical considerations * Ability to work effectively in a collaborative, multidisciplinary environment * Fluency with MS Office suite Preferred: * Graduate of the Computer Network Operations Development Program (CNODP), Remote Interactive Operator Training (RIOT), Future Operator Readiness Growth and Enrichment (FORGE), or equivalent experience * Experience with red team operations or offensive cyber capabilities development * Understanding of ___ (APT) tactics, techniques, and procedures (TTPs) and experience with defending against them * Ability to think creatively about offensive and/or defensive techniques and strategies, beyond compliance with existing regulations * Familiarity with U.S. cybersecurity agencies, authorities, and policy development processes * Experience working in or with government on cybersecurity policy * Experience with advising non-technical stakeholders on security topics * Familiarity with the AI/ML hardware stack (e.g., GPUs, TPUs, data center design) * Familiarity with the AI/ML software stack (e.g., CUDA, PyTorch, TensorFlow, Ray) * Experience working on AI research, ML model training, or model deployment * Experience with securing AI systems Education Requirements RAND is hiring multiple Visiting AI Security Residents at associate, specialist, and expert levels of experience. Minimum education requirements at the associate level include: A PhD in Computer Science, Computer Engineering, Electrical Engineering, Cybersecurity, Information Security, Information Technology, Mathematics, Applied Mathematics, Physics, Applied Physics, Engineering Physics, Artificial Intelligence, Machine Learning, Engineering and Public Policy, Technology and Policy, National Security Policy, Policy Analysis, Political Science, International Relations, or similar is required. OR A Master's degree in the fields listed above with at least 3 years of relevant professional experience, is required. OR A Bachelor's degree in the fields listed above with at least 5 years of relevant professional experience, is required. Master's or PhD preferred. Security Clearance Ability to obtain and maintain a U.S. government clearance is preferred but not required. Location We are hiring for this position in San Francisco, CA, Washington, DC; Santa Monica, CA; Pittsburgh, PA; and Boston, MA. We offer a hybrid work arrangement, combining work from home and on-site options. Fully remote work within the US, along with US visa support, will also be considered. Writing or Code Sample Either a writing sample or a code sample is required for this position. This sample can use a recent, previously written paper or technical report (e.g., journal article, master's thesis or paper written for coursework, research project, technical analysis, briefings), or source code showing technical expertise in relevant domains. Term This position is a three-year term appointment with a possibility of renewal, alongside options for longer term employment. Salary Range: $118,500 - $261,400 Visiting Technical Associate = $118,500 - $171,900 Visiting Technical Specialist = $$146,200 - $211,900 Visiting Technical Expert = $167,300 - $261,400 RAND considers a variety of factors when formulating an offer, including but not limited to, the specific role and associated responsibilities; a candidate's work experience, education/training, skills, expertise; and internal equity.Successful candidates will be offered employment in a specific title, as determined by the candidate's education and experience. The salary range includes base pay plus RAND's sabbatic pay (which provides additional compensation above base pay when vacation is taken). In addition, RAND provides strong benefits including health insurance coverage, life and disability insurance, savings plan, paid time-off and more. Equal Opportunity Employer

Scale AI is seeking highly skilled and motivated Software Engineers to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in delivering high-impact AI-powered mission solutions for government customers. Our scalable and high-performance platform forms the foundation for these solutions, and your expertise will be instrumental in designing and implementing systems that can handle billions of data points with exceptional performance. You will: • Design and implement scalable backend systems for Federal customers, leveraging Scale's modern and cloud-native AI infrastructure, • Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments, • Develop distributed systems, data-intensive applications, and machine learning infrastructure to enable real impact for mission owners, • Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions, • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions, • Contribute to the platform roadmap and product strategy for Scale AI's Federal business, playing a key role in shaping the future direction of our offerings, • This role will require an active TS/SCI security clearance or the ability to obtain a security clearance. Ideally you'd have: • Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases, • Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus, • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles, • Machine Learning Infrastructure: Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and experience in designing and implementing machine learning infrastructure. Understanding of model serving, monitoring, and deployment strategies is beneficial, • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles, • Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About The Role: ___ (IDT), provider of cutting-edge cloud-based integration, automated testing and data analysis for complex, mission-critical systems in the US Department of Defense (DOD), is seeking anAssociate AI Engineer to be part of our Warfare Systems team and based out of our Arlington, VA or Mt. Laurel, NJ location.The Associate AI Engineer will design and deliver engineering-focused AI solutions that move beyond demos into reliable, mission-relevant systems. This role is ideal for an early-career engineer who is strong in Python, excited by LLMs and autonomous agents, and motivated to build end-to-end capabilities including MCP integrations, RAG pipelines, tool-using agents, and production-grade AI workflows.Clearance & Location Requirements: • All applicants must be able to obtain/maintain an active Secret U.S. Security Clearance., • This is an on-site position. Requiring at least 3 days in office, based out of our Arlington, VA or Mt. Laurel, NJ location.What You Will Do:, • Design and Build AI Solutions: Design and implement end-to-end agentic AI systems that support planning, reasoning, tool use, and multi-step execution in real-world environments. Build modular, testable components that move from prototype to operational capability., • Integrate Models and Tools: Develop integrations across LLMs, APIs, data sources, and Model Context Protocol (MCP) interfaces to enable intelligent agents to interact with external systems, retrieve context, and take action safely and reliably., • Develop Retrieval Pipelines: Build and optimize Retrieval-Augmented Generation (RAG) pipelines that connect models to live knowledge sources, structured data, and enterprise content to improve factual grounding, contextual relevance, and response quality., • Engineer Conversational and Agentic Interfaces: Create conversational systems and intelligent agents with memory, contextual awareness, adaptive decision-making, and support for multi-turn user and system interactions., • Implement and Evaluate AI Workflows: Translate technical objectives into working pipelines, run experiments, evaluate agent behavior, and iterate on prompts, orchestration logic, retrieval quality, and system performance to improve reliability and usability., • Scope and Define Requirements: Gather, document, and validate technical and functional requirements from project artifacts, stakeholders, and mission needs to ensure feasibility, completeness, and alignment with operational goals., • Collaborate Across Teams: Work closely with engineers, technical leads, and mission stakeholders to integrate AI capabilities into broader software and system architectures. Participate in technical reviews, design discussions, and delivery planning., • Support Technical Quality: Contribute to testing, debugging, and performance optimization of AI-enabled applications, including edge cases involving context management, retrieval failures, tool execution, and orchestration logic., • Learn and Apply Emerging Practices: Stay current on advances in LLMs, agent frameworks, orchestration methods, and applied AI engineering practices, and bring that knowledge into practical system design and implementation., • Communicate Technical Work: Clearly document architectures, workflows, assumptions, and implementation decisions so that solutions are maintainable, explainable, and transferable across teams.Who You Are (Required):, • Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Data Science, Applied Mathematics, Artificial Intelligence, or a related technical field, or equivalent full-time professional experience, • 0-3 years of full-time professional experience in software engineering, machine learning engineering, AI engineering, or related technical roles, • Ability to travel up to 10% of the time as needed, • Proficiency in Python, including experience with core libraries such as NumPy and Pandas, • Experience building software with one or more modern AI/ML frameworks such as PyTorch, TensorFlow, LangChain, LangGraph, Semantic Kernel, or AutoGen, • Familiarity with Large Language Models (LLMs), prompt engineering, agent orchestration, or conversational AI systems, • Familiarity with retrieval systems, vector databases, embeddings, or RAG-based application design, • Understanding of software engineering fundamentals, including version control, testing, debugging, and writing maintainable code, • Ability to work independently on technical tasks while collaborating effectively in a team environment, • Strong problem-solving skills, curiosity, and a builder mindset focused on turning ideas into working systemsWhat Makes You Stand Out:, • Experience building agentic AI systems that use tools, memory, planning, or multi-step execution, • Familiarity with Model Context Protocol (MCP) integrations or similar model-to-tool integration patterns, • Experience deploying AI services, APIs, or workflows in cloud or production environments, • Experience with vector databases, retrieval infrastructure, knowledge graph integration, or enterprise search, • Exposure to evaluation methods for LLMs and agents, including reasoning quality, hallucination reduction, tool-use reliability, and retrieval performance, • Experience with Docker, REST APIs, Git-based development workflows, or CI/CD pipelines, • Experience working on defense, government, or other mission-oriented technical programs, • Strong interest in building practical AI systems that must operate reliably in complex, real-world environmentsIf you see yourself reflected in this role and are excited about the impact you could make, we encourage you to apply! If you know someone who may be a great fit, please feel free to share this opportunity with your network.Pay Range*: $74,000 - $116,000 or $90,000 - $150,000This amount may not be reflective of actual compensation that may be earned as pay is dependent on a candidate's experience, skills, and education. The posted range does not include bonuses, commissions, tips, or other benefits. IDT is often looking to place multiple candidates at various levels. Therefore, more than one pay range has been included, commensurate with experience.*Pursuant to New Jersey___ IDT is required to disclose the "pay scale" or "pay range" associated with a job posting. Notably, however, this amount may not be reflective of actual compensation that may be earned as pay is dependent on a candidate's experience, skills, and education. The posted range does not include bonuses, commissions, tips, or other benefits. Click___ for additional information about Senate Bill 2310. IDT is often looking to place multiple candidates at various levels. Therefore, more than one pay range has been included, commensurate with experience. About Innovative Defense Technologies (IDT):Innovative Defense Technologies (IDT) is a leading defense technology company focused on rapidly delivering mission-critical software and systems solutions to the U.S. government. The company specializes in automation, digital engineering, and enabling the rapid integration of advanced capabilities into complex weapon and combat systems. These essential solutions empower the warfighter to field, operate, and sustain decisive capability at speed and scale.At IDT, our employees are developing advanced mission-critical outcomes by consistently delivering high-quality results, fostering innovation, applying rigorous problem-solving, and effectively collaborating across multifaceted teams and stakeholders. Grounded in these competencies, IDT translates complex customer priorities into robust software solutions.Why Work at Innovative Defense Technologies (IDT):IDT is a growing company with a vibrant, entrepreneurial culture. We are headquartered in Arlington, VA with additional offices in Fall River, MA; Mount Laurel, NJ; and San Diego, CA. At each location, our employees work together in a modern, snack-filled, and social office space, designing innovative solutions for our defense industry customers. We offer employees competitive pay and benefits including:, • Generous ___ package, • Competitive PTO, • Paid holidays, • 401(k) with immediate vesting and matching, • 9/80 optional schedule (2nd and 4th Friday off every month), • Tuition Assistance Reimbursement Program, • Professional Development Resources, • Pre-Tax Commuter Benefits, • Organization-Wide Monthly Tech Connect Events, • Annual Employee Recognition Awards, • Regular Social Events and Catered LunchesEEO Statement:IDT is an Equal Opportunity employer.

Senior Machine Learning Engineer - Model Evaluations, Public Sector The Public Sector ML team at Scale deploys advanced AI systems-including LLMs, agentic models, and multimodal pipelines-into mission-critical government environments. We build evaluation frameworks that ensure these models operate reliably, safely, and effectively under real-world constraints. As an ML Engineer, you will design, implement, and scale automated evaluation pipelines that help customers trust and operationalize advanced AI systems across defense, intelligence, and federal missions. You will: • Develop and maintain automated evaluation pipelines for ML models across functional, performance, robustness, and safety metrics, including LLM-judge-based evaluations., • Design test datasets and benchmarks to measure generalization, bias, explainability, and failure modes., • Build evaluation frameworks for LLM agents, including infrastructure for scenario-based and environment-based testing., • Conduct comparative analyses of model architectures, training procedures, and evaluation outcomes., • Implement tools for continuous monitoring, regression testing, and quality assurance for ML systems., • Design and execute stress tests and red-teaming workflows to uncover vulnerabilities and edge cases. Ideally you'd have: • Experience in computer vision, deep learning, reinforcement learning, or NLP in production settings., • Strong programming skills in Python; experience with TensorFlow or PyTorch., • Background in algorithms, data structures, and object-oriented programming., • Experience with LLM pipelines, simulation environments, or automated evaluation systems., • Graduate degree in CS, ML, or AI., • Cloud experience (AWS, GCP) and model deployment experience., • Experience with LLM evaluation, CV robustness, or RL validation., • Knowledge of interpretability, adversarial robustness, or AI safety frameworks., • Familiarity with ML evaluation frameworks and agentic model design. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Job Type: Term (Fixed Term) Overview RAND's ___, part of the Global and Emerging Risks (GER) Division, is seeking a technical and strategic leader to serve as Senior Research Lead - AI Security Portfolio. CAST conducts cutting-edge research on transformative, high-impact technologies-including artificial intelligence and biotechnology-to shape policies that protect global security and advance the public good. In this senior leadership role, you will oversee a large research and engineering portfolio focused on securing advanced AI systems, understanding their cyber capabilities, and informing the policy frameworks that govern them. You will report to CAST Founding Director, ___, and lead two major research teams composed of 15+ researchers and engaged in projects that span technical AI security research, cyber capability evaluation, and infrastructure development. Your work will guide RAND's broader efforts to ensure AI technologies are safe, secure, and aligned with U.S. and allied national security priorities. As Portfolio Lead, you will: * Define and drive RAND's research agenda on secure AI systems, establishing priorities across multiple teams and programs. * Lead complex, cross-functional projects integrating technical R&D, cybersecurity operations, and policy analysis. * Mentor and manage senior technical staff, project leaders, and researchers across a portfolio of 15-30 people. * Translate technical findings into actionable insights for policymakers, regulators, and industry leaders. * Oversee development of AI-specific threat models, security architectures, and evaluation tools that assess cyber risks and resilience. * Engage directly with senior government and industry stakeholders to ensure RAND's research informs decisions at the highest levels. * Represent RAND at technical and policy forums, including national security working groups, agency briefings, and expert panels. This position is structured as a focused three-year appointment to accelerate research and provide rigorous analysis that informs evidence-based policymaking in this rapidly evolving field. Every day of your tenure will count toward achieving ambitious projects in AI security. The appointment may be renewed with options for longer-term employment at RAND thereafter. RAND's reputation for excellence is built on our commitment to high-quality, rigorous analysis and objectivity. As AI Security Portfolio Lead, you will uphold that standard while guiding cutting-edge research with real-world policy impact. Qualifications All research leadership positions at RAND require excellent analytic skills; the ability to communicate clearly and effectively, both orally and in writing; the ability to work effectively as a member of a multi-disciplinary team; and a strong commitment to RAND's core values of quality and objectivity. Required: * Technical experience in AI security, cybersecurity engineering, or adjacent emerging technology fields. * Demonstrated success leading large technical or research programs, including managing multidisciplinary teams and budgets. * Proven experience designing and delivering complex projects from concept through completion. * Deep understanding of AI ___, system vulnerabilities, and cyber capability evaluation. * Strong ability to communicate complex technical issues to senior non-technical stakeholders. * Familiarity with U.S. cybersecurity policy processes and agencies. * Excellent written and verbal communication skills. Preferred: * Background in leadership at frontier AI labs, startups, or hyper-scalers * Background in AI or cybersecurity R&D, red team operations, or ___ (APT) defense. * Experience developing or overseeing secure infrastructure for AI model training and deployment. * Familiarity with AI/ML hardware and software stacks (e.g., GPUs, TPUs, CUDA, PyTorch, TensorFlow). * Experience working in or with government on AI or cybersecurity policy. * Graduate of CNODP, RIOT, FORGE, or equivalent elite technical program. Education Requirements PhD in Computer Science, Computer Engineering, Electrical Engineering, Cybersecurity, Information Security, Information Technology, Mathematics, Applied Mathematics, Physics, Applied Physics, Engineering Physics, Artificial Intelligence, Machine Learning, Engineering and Public Policy, Technology and Policy, National Security Policy, Policy Analysis, Political Science, International Relations, or similar is required, with 6+ years of professional experience. OR Master's degree in the fields listed above with 9+ years of professional experience, is required. OR Bachelor's degree in the fields listed above with 12+ years of professional experience, is required. Master's or PhD preferred. Security Clearance Ability to obtain and maintain a U.S. government clearance is preferred but not required. Location We are hiring for this position in San Francisco, CA; Washington, DC; Santa Monica, CA; Pittsburgh, PA; and Boston, MA. We offer a hybrid work arrangement, combining work from home and on-site options. Fully remote work within the US will also be considered. Writing or Code Sample Either a writing sample or a code sample is required for this position. This sample can use a recent, previously written paper or technical report (e.g., journal article, master's thesis or paper written for coursework, research project, technical analysis, briefings), or source code showing technical expertise in relevant domains. Term This position is a 3-year term appointment with a possibility of renewal, alongside options for longer term employment. Salary Range: $167,300 - $261,400 RAND considers a variety of factors when formulating an offer, including but not limited to, the specific role and associated responsibilities; a candidate's work experience, education/training, skills, expertise; and internal equity.Successful candidates will be offered employment in a specific title, as determined by the candidate's education and experience. The salary range includes base pay plus RAND's sabbatic pay (which provides additional compensation above base pay when vacation is taken). In addition, RAND provides strong benefits including health insurance coverage, life and disability insurance, savings plan, paid time-off and more. Equal Opportunity Employer

AI Security Solutions Architect The Opportunity: As a Secure AI Architect, you'll be responsible for designing and implementing secure architectures for artifi cia l intelligence and machine learning ( AI / ML ) systems across the organization. This role bridges cybersecurity and AI engineering disciplines to ensure that AI models, data pipelines, and supporting infrastructure are protected against threats such as data poisoning, model inversion, prompt injection, and adversarial attacks. You will play a key role in shaping enterprise AI security strategies, developing secure model deployment frameworks, ensuring compliance with emerging AI regulations, and embedding security-by-design principles into all AI initiatives. Join us. The world can't wait. You Have: \n • 8+ years of experience in cybersecurity, systems architecture, or sof tware engineering, including AI / ML solution design\n, • 5+ years of experience supporting DoD, Intelligence Community, or federal civilian agency missions\n, • 3+ years of experience designing, deploying, and securing AI / ML pipelines, including model training, inference, and monitoring\n, • Experience with large language model platforms and APIs such as OpenAI, Anthropic, Azure OpenAI Service, and Amazon Bedrock, ML frameworks such as TensorFlow, PyTorch, scikit-learn, and Hugging Face Transformers, data engineering and analytics platforms such as Databricks, Apache Spark, Snowflake, and Apache Iceberg, and ML orchestration and serving platforms such as Amazon SageMaker, Vertex AI, MLFlow, and Kubeflow\n, • Experience implementing AI security controls, including data provenance, model integrity, and AI supply chain risk management\n, • Experience integrating AI into operational workflows, including SOC automation, threat detection, and cyber analytics\n, • Knowledge of AI governance frameworks and DoD Responsible AI principles\n, • Secret clearance\n, • HS diploma or GED\n, • Experience operating in IL5, IL6, or IL7 environments\n, • Experience developing AI-enabled defensive cyber capabilities such as automated triage, detection engineering, or autonomous response\n, • Experience securing large language models, RAG architectures, or agentic AI systems\n, • Experience with MLOps or AIOps practices, including model versioning, drift detection, and performance monitoring\n, • Experience with stream processing platforms such as Cribl, Kafka, or Flink, for real-time AI data ingestion\n, • Experience with data governance for AI training data in multi-classification or coalition environments\n Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. \n • If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.\n All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

About the Role This is a senior leadership role on the Global Product Management Data Science team managing the Client Experience Digital Platform - the central hub where clients interact with Gartner to unlock value. Our clients are IT and business leaders worldwide, relying on the platform embedded in their workflows for critical priorities. Our mission is to accelerate innovation through intelligent digital products that disrupt the market and ourselves - constantly seeking data science leaders to champion this vision. The Director, Data Science will lead efforts across personalization, recommendation systems, and GenAI chatbot tools, delivering scalable intelligence that drives hyper-personalized experiences and business outcomes. What You Will Do • Lead the data science roadmap spanning personalization, recommendation systems, and GenAI chatbot development, owning strategy for user profiling, content matching, ranking, conversational AI, and next-best-action systems., • Architect AI-powered chatbot systems including intelligent search, recommendation engines, context-aware retrieval, and Model Context Protocol (MCP) servers for seamless AI agent integration with enterprise systems and external tools., • Apply transformer-based models, LLMs, and advanced techniques to enhance recommendation relevance, search optimization, user personalization, and scalable GenAI solutions., • Leverage internal and external data to model client company priorities, competitive landscapes, engagement signals, and deliver targeted support., • Collaborate with engineering, product, UX, and business leaders to prioritize ideas, launch MVPs, iterate rapidly, and deliver measurable business value., • Lead a team of data scientists, driving enhancements in accuracy, coverage, latency, scalability, stability, and adoption while maintaining strong MLOps practices., • Translate quantitative analysis into actionable strategies, pitch high-impact ideas, and influence senior leadership on long-term vision and solution roadmaps., • Stay current on fast-moving AI/ML advancements, particularly LLMs, conversational AI, agentic systems, and transformer architectures. What You Will Need • 8-12 years of experience in data science, machine learning, or AI, with at least 3 years managing data science and engineering teams., • Master's Degree or PhD in a quantitative field (math, computer science, engineering, etc.) required., • Proven leadership developing personalization systems, recommendation engines, search/ranking solutions, conversational AI, chatbots, and GenAI applications powered by transformer-based models and LLMs., • Demonstrated success translating business priorities into technical roadmaps, driving cross-functional execution, and delivering production ML systems with clear business impact., • Strong communication skills to influence executives, translating complex analysis into compelling strategies and value propositions., • Deep expertise in ML lifecycle, Lean product principles, MLOps, experimentation frameworks, and production recommender/GenAI systems., • Proficiency with Python, ML frameworks (scikit-learn, NLTK, PyTorch, TensorFlow, Hugging Face, LangChain), SQL/relational databases (Oracle), NoSQL/graph databases (MongoDB), vector databases (Pinecone, Weaviate), distributed ML (Spark), Linux/shell scripting, and cloud platforms (AWS SageMaker, Azure ML)., • Working experience in: Large Language Models/Generative AI, conversational AI/chatbot development, NLP/text mining, search & recommendation systems, prompt engineering/LLM optimization, AI agent architectures., • Collaborative leader who thrives in feedback-driven cultures with bias for action and client outcomes. What You Will Get • Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) and more!, • Collaborative, team-oriented culture that embraces diversity., • Professional development and unlimited growth opportunities. #LI-CW4 Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we've grown to 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That's why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our vast, virtually untapped market potential offers limitless opportunities - opportunities that may not even exist right now - for you to grow professionally and flourish personally. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work. What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive - working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. Gartner believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is 122,000 USD - 168,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan. Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates. We also offer market leading benefit programs including generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to___. Job Requisition ID:108588 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: ___ For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.

Description This Department of War enterprise data and analytics program delivers mission-critical capabilities that enable leaders across the Department to make faster, better-informed decisions using trusted data at scale. Leidos Digital Modernization sector is seeking an experienced SME AI/ML Engineer to support the delivery, enhancement, and adoption of enterprise data and analytics products used across multiple DoD organizations. In this role, you will work alongside government partners, engineers, and other industry teammates to translate operational and strategic requirements into scalable, production-ready solutions. You will contribute directly to product planning, execution, and continuous improvement-helping ensure capabilities are delivered efficiently, aligned to mission priorities, and positioned for sustained success. This position offers the opportunity to work on a high-visibility, enterprise program at the intersection of data, analytics, and emerging AI technologies. Ideal candidates are motivated by mission impact, comfortable operating in complex stakeholder environments, and interested in building deep domain expertise while delivering capabilities with real-world national security outcomes. Primary Responsibilities: * Design, develop, and optimize AI and ML solutions to enhance operational and analytical capabilities within a larger enterprise level Data and AI analytics platform. * Build and maintain data pipelines for efficient data processing and model training. * Train and tune algorithms to improve predictive accuracy and decision-support tasks. * Deploy models into production environments, ensuring reliability and performance. * Identify and integrate appropriate COTS, government, and custom tools within established frameworks. * Collaborate with cross-functional teams to ensure alignment with enterprise architecture and security requirements. * Manage project timelines and deliverables, ensuring adherence to quality standards. * Facilitate communication between technical teams and stakeholders to align project goals. * Stay updated on industry trends and advancements in AI/ML technologies. * Develop and implement best practices for model development and deployment. * Ensure compliance with cybersecurity policies and standards throughout the project lifecycle. * Participate in the Engineering Control Board process for major engineering milestones. * Analyze system performance metrics and recommend improvements for efficiency and scalability. Basic Qualifications: * Active Top Secret (TS) clearance with SCI eligibility. * Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or related technical discipline and 12-15 years of relevant experience OR Master's degree in a related field and 10-13 years of relevant experience. * Minimum of 10 years of experience in AI/ML and/or data intelligence engineering or related fields. * Experience developing and deploying AI/ML models using frameworks such as PyTorch, TensorFlow, or equivalent. * Experience building and integrating data pipelines to support ML workflows. * Experience deploying containerized AI workloads (e.g., Docker, Kubernetes). * Experience integrating AI/ML models into CI/CD and DevSecOps environments. * Experience implementing model evaluation, performance tuning, and lifecycle management practices. * Proven experience in designing and deploying AI/ML models in production environments. * Strong programming skills in languages such as Python, R, or Java. * Experience with data pipeline construction and management. * Excellent leadership and team management skills. * Strong problem-solving abilities and analytical thinking. * Strong communication and interpersonal skills. * Experience developing Agentic AI solutions, including autonomous planning-execution-reflectionloops, multi-agent collaboration and coordination, and tool usage patterns including API integration, retrieval-augmented generation (RAG), and memory/context management * Solid understanding and hands-on experience with generative AI models including prompt engineering, chain-of-thought reasoning, and Natural Language Processing (NLP) tasks such as entity extraction, summarization, and semantic search. * Working knowledge of Large Language Models (LLMs) and agent frameworks such as LangChain, LangGraph, CrewAI, A2A, MCP, or AutoGen * Experience using vector databases (e.g., Pinecone, Weaviate, FAISS) * Familiarity with deployment into virtualized and containerized environments (e.g., VMware, Docker, Kubernetes) Preferred Qualifications: * Active TS/SCI clearance. * 12+ years of experience in AI/ML and/or data intelligence engineering or related fields. * SAFe Agilist (SA) or related SAFe certification. * Experience operating within SAFe or large-scale Agile frameworks supporting enterprise systems. * Experience supporting AI/ML solutions across multi-enclave DoD environments. * Experience implementing automated model validation, bias detection, and drift monitoring frameworks. * Experience integrating AI services into enterprise APIs and microservices architectures. * Experience optimizing GPU-based training and inference pipelines. * Experience supporting enterprise-scale analytics, data platforms, or AI modernization initiatives. * Experience with cloud-based AI/ML platforms and tools. * Familiarity with cybersecurity principles and practices. * Experience in a government or defense contracting environment. * Experience designing and implementing safety, guardrails, and bias-mitigation strategies for autonomous agents and multiagent systems * Experience integrating agents with cloud-native workflows, streaming data pipelines, and real-time decision-making environments * Familiarity with evaluation and observability tools for AI agents, such as LangSmith, OpenAI Evals, or custom telemetry systems * Experience with AI service integration such as NIMS, Azure OpenAI, Bedrock, GCP Vertex AI * Hands-on GPU programming experience for ML workloads using CUDA, PyTorch, or TensorFlow, including optimization for performance and efficiency. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. March 10, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range $131,300.00 - $237,350.00 The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ___. Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ___. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the ___. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Data Scientist, Senior The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors-from fraud detection to cancer research to national intelligence-we need you to help find the answers in the data. On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You'll guide teammates and lead the development of algorithms and systems. You'll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can't wait. You Have: \n • 5+ years of experience using data science programming languages, such as Python or R\n, • Experience creating ETL pipelines, including querying APIs, cleaning and conditioning data, and creating schemas for data storage\n, • Experience with version control tools, including Git, GitLab, GitHub, or Bitbucket\n, • Knowledge of statistical analysis, predictive modeling, and machine learning methods\n, • Ability to design and develop automated analytic software, techniques, and algorithms\n, • Ability to develop solutions and integrate and extend free and open-source software (FOSS) or COTS products\n, • Ability to generate data visualizations with tools, such as Kibana, Tableau, or Power BI\n, • TS/SCI clearance\n, • Experience working with GEOINT, HUMINT, MASINT, OSINT, and SIGINT, and the data and tools associated with these disciplines\n, • Experience with intelligence or operations analysis in the DoD or Intelligence Community\n, • Experience developing and implementing ontological frameworks\n, • Experience in the development of algorithms leveraging R, Python, or SQL and NoSQL\n, • Experience working with deep learning and AI frameworks, including PyTorch, TensorFlow, and Keras\n, • Experience working with Retrieval-Augmented Generation (RAG) and Large Language Models (LLM)\n, • Experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL\n, • Experience with visualization packages, including Plotly, Seaborn, or ggplot2\n, • Knowledge of DevOps, including CI/CD pipelines and Jenkins\n Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. \n • If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.\n All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Job Type: Term (Fixed Term) Position Description RAND's ___, part of the Global and Emerging Risks (GER) Division conducts cutting-edge research on transformative, high-impact technologies-including artificial intelligence and biotechnology-to shape policies that protect global security and advance the public good. You will be responsible for managing significant research budgets and personnel, overseeing complex technical research and policy analysis projects, and leading multidisciplinary teams of policy researchers, engineers, and scientists. Your work will inform analysis delivered to senior government and industry leaders. Your team will communicate findings to both technical and non-technical audiences through quick-turnaround policy briefs and detailed technical analyses. A recent example of one of our research products is the ___ report, which explored protecting frontier AI model weights from theft and misuse. This position is structured as a two-year appointment with options to renew and explore opportunities for longer-term employment at RAND thereafter. RAND's reputation for excellence is built on our commitment to high-quality, rigorous analysis and objectivity. As a Research Lead - Securing Frontier AI, you'll maintain that excellence while engaging with some of the most pressing challenges of our time. Qualifications All research positions at RAND require excellent analytic skills; the ability to communicate clearly and effectively, both orally and in writing; the ability to work effectively as a member of a multi-disciplinary team; and a strong commitment to RAND's core values of quality and objectivity. Required: * 6+ years of technical experience in security engineering, software engineering, firmware engineering, hardware engineering, or related fields * 6+ years of technical management experience, including leading cross-functional teams, managing project budgets, and mentoring and developing team members * Demonstrated ability to successfully lead complex projects to completion * Proficiency in Python, Java, C/C++, or other popular programming languages * Ability to develop rigorous and comprehensive ___ and identify potential system vulnerabilities * Strong ability to communicate effectively in English, both verbally and in writing * Ability to reason about policy options given different technical considerations * Ability to work effectively in a collaborative, multidisciplinary environment * Fluency with MS Office suite Preferred: * Graduate of the Computer Network Operations Development Program (CNODP), Remote Interactive Operator Training (RIOT), Future Operator Readiness Growth and Enrichment (FORGE), or equivalent experience * Experience with red team operations or offensive cyber capabilities development * Understanding of ___ (APT) tactics, techniques, and procedures (TTPs) and experience with defending against them * Ability to think creatively about offensive and/or defensive techniques and strategies, beyond compliance with existing regulations * Familiarity with U.S. cybersecurity agencies, authorities, and policy development processes * Experience working in or with government on cybersecurity policy * Experience with advising non-technical stakeholders on security topics * Familiarity with the AI/ML hardware stack (e.g. GPUs, TPUs, data center design) * Familiarity with the AI/ML software stack (e.g. CUDA, PyTorch, TensorFlow, Ray) * Experience working on AI research, ML model training, or model deployment * Experience with securing AI systems Education Requirements RAND is hiring a Research Lead at either the specialist or expert level of experience. Minimum education requirements at the specialist level include: A PhD in Computer Science, Computer Engineering, Electrical Engineering, Cybersecurity, Information Security, Information Technology, Mathematics, Applied Mathematics, Physics, Applied Physics, Engineering Physics, Artificial Intelligence, Machine Learning, Engineering and Public Policy, Technology and Policy, National Security Policy, Policy Analysis, Political Science, International Relations, or similar with at least 3 years of relevant professional experience is required. OR A Master's degree in the fields listed above with at least 6 years of relevant professional experience, is required. OR A Bachelor's degree in the fields listed above with at least 8 years of relevant professional experience, is required. Master's or PhD preferred. Security Clearance Ability to obtain and maintain a U.S. government clearance is preferred but not required. Location We are hiring for this position in San Francisco, CA;Washington, DC; Santa Monica, CA; Pittsburgh, PA; and Boston, MA. We offer a hybrid work arrangement, combining work from home and on-site options. Fully remote work will also be considered. Writing or Code Sample Either a writing sample or a code sample is required for this position. This sample can use a recent, previously written paper or technical report (e.g., journal article, master's thesis or paper written for coursework, research project, technical analysis, briefings), or source code showing technical expertise in relevant domains. Term This position is a 3-year term appointment with a possibility of renewal, alongside options for longer term employment. Salary Range: $146,200 - $261,400 Visiting Technical Specialist = $$146,200 - $211,900 Visiting Technical Expert = $167,300 - $261,400 RAND considers a variety of factors when formulating an offer, including but not limited to, the specific role and associated responsibilities; a candidate's work experience, education/training, skills, expertise; and internal equity.Successful candidates will be offered employment in a specific title, as determined by the candidate's education and experience. The salary range includes base pay plus RAND's sabbatic pay (which provides additional compensation above base pay when vacation is taken). In addition, RAND provides strong benefits including health insurance coverage, life and disability insurance, savings plan, paid time-off and more. Equal Opportunity Employer

Scale AI is seeking highly skilled and motivated Software Engineers to join our dynamic Federal Engineering team. As a part of this team, you will play a critical role in delivering high-impact AI-powered mission solutions for government customers. Our scalable and high-performance platform forms the foundation for these solutions, and your expertise will be instrumental in designing and implementing systems that can handle billions of data points with exceptional performance. You will: • Design and implement scalable backend systems for Federal customers, leveraging Scale's modern and cloud-native AI infrastructure, • Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments, • Develop distributed systems, data-intensive applications, and machine learning infrastructure to enable real impact for mission owners, • Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions, • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions, • Contribute to the platform roadmap and product strategy for Scale AI's Federal business, playing a key role in shaping the future direction of our offerings, • This role will require an active TS/SCI security clearance or the ability to obtain a security clearance. Ideally you'd have: • Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases, • Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus, • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles, • Machine Learning Infrastructure: Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and experience in designing and implementing machine learning infrastructure. Understanding of model serving, monitoring, and deployment strategies is beneficial, • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles, • Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Job Locations US-VA-Tysons | US-DC-Washington, DC Job ID 2026-13490 # of Openings 5 Category Internships Benefit Type Hourly Low Fringe/Intern LMI is seeking a highly motivated Data Science & AI/ML Intern for Summer 2026 to contribute to impactful projects in data science, software development, and artificial intelligence/machine learning (AI/ML). This internship provides an opportunity to work with cutting-edge technologies, analyze complex datasets, and develop AI-driven solutions that support LMI's mission to provide innovative solutions for government clients. This role is dedicated to bolstering our Advanced Analytics & AI practice and supporting our USPS customer. *This position is currently full-time onsite at the customers Washington DC office. LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. Participate in research and development efforts focused on emerging AI and data science methodologies. • Conduct data analysis and build predictive models using Python, SQL, and machine learning libraries., • Develop and implement AI/ML algorithms to solve real-world problems., • Assist in the development of software applications leveraging cloud computing platforms like AWS or Azure., • Create data visualizations and dashboards to present analytical insights effectively., • Collaborate with cross-functional teams to integrate AI-driven solutions into existing systems., • Current enrollment in a degree seeking program required, • Availability to work full-time for at least 10-12 weeks for summer 2026, • Must be available starting at the end of May 2026, • Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field., • Experience with Python, SQL, and machine learning frameworks (e.g., TensorFlow, Scikit-learn, PyTorch)., • Familiarity with software development, cloud computing (AWS, Azure), and algorithms., • Strong analytical and problem-solving skills with the ability to work on complex datasets., • Experience with data visualization tools (Tableau, Power BI, Matplotlib) is a plus., • Strong communication and teamwork skills., • Experience working with Microsoft Excel and Access., • Experience with Visual Basic for Applications and Java is highly desirable., • Programming experience-ability to program and learn new programming languages quickly. Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work. We can recommend jobs specifically for you! Click here to get started.

Job Description Your Impact Join a mission-focused team where your work truly matters. We are seeking a Subject Matter Expert (SME) Computer Vision Engineer to help build cutting-edge solutions that support critical national defense operations. This role combines hands-on development, advanced system-level thinking, and close collaboration with cross-functional teams including software engineers, systems integrators, and program managers. You'll be at the forefront of designing and deploying real-time computer vision systems that perform in dynamic and often high-stakes environments. This is a results-driven role within an ML-Ops environment focused on delivering production-ready solutions, processing large-scale data, and ensuring robust model deployment and performance in real-world conditions. In this role, you will lead full lifecycle systems engineering activities, ensuring the translation of mission requirements into scalable, effective, and supportable technical solutions across both software and integrated systems. Responsibilities: • Design and implement advanced vision models for tasks such as object detection, tracking, scene understanding, and activity recognition., • Lead collaboration with engineering teams to integrate vision capabilities into complex defense systems., • Optimize performance for edge devices and embedded systems in operational environments., • Oversee testing and validation of computer vision systems to ensure mission readiness., • Lead system architecture, technical strategy, and full lifecycle systems engineering efforts., • Perform technical planning, system integration, verification and validation, cost and risk analyses, and supportability and effectiveness assessments., • Conduct and guide functional analysis, timeline analysis, trade studies, requirements allocation, and interface definition to translate customer requirements into hardware and software specifications., • Support and influence system development across all lifecycle phases including concept, design, fabrication, test, installation, operation, maintenance, and disposal., • Ensure the logical and systematic conversion of customer and product requirements into total systems solutions that account for technical, schedule, and cost constraints., • Mentor junior and mid-level engineers and establish best practices across the team., • Maintain security and compliance throughout the development lifecycle. We're looking for engineers who are: • Fast-paced thinkers who enjoy solving tough problems in dynamic environments., • Collaborative professionals who work effectively across disciplines and teams., • Customer-focused individuals with experience engaging stakeholders, program managers, and product owners., • Self-starters able to lead complex efforts with minimal oversight., • Lifelong learners who stay current with emerging technologies and industry trends., • Strong communicators capable of translating complex ideas into clear, actionable plans., • Technically aware with an understanding of evolving industry capabilities and innovations. Required Qualifications: • Active TS/SCI clearance with Polygraph eligibility., • Bachelor's degree in Computer Science, Data Science, or a related field., • 14+ years of experience in computer vision, machine learning, or closely related fields., • Proficiency in Python and its ecosystem, including frameworks and libraries such as Flask, SQLAlchemy, Boto3, NumPy, and Pillow, as well as deep learning tools such as PyTorch and TensorFlow; experience with Swift (OpenStack client) is also required., • Proficiency in writing and optimizing SQL queries for data retrieval, analysis, and management., • Deep experience with modern computer vision models such as YOLO, Faster R-CNN, and Vision Transformers., • Strong familiarity with OpenCV and classical computer vision techniques., • Advanced engineering fundamentals, including experience with Git, Docker, and CI/CD practices., • Experience with machine learning utilities such as MLflow, Optuna, and DVC. Desired Qualifications: • Experience supporting government or defense-related programs., • Extensive experience developing Python scripts for data automation, process optimization, and machine learning workflow implementation., • Knowledge of real-time video analytics, sensor fusion, or 3D perception., • Experience working within secure or classified development environments. Why Choose GRVTY The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We're purpose-built to tackle the most entrenched, systemic national security issues around the world. We partner with our customers to help them overcome challenges in every corner of technology and defense—including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives. At GRVTY, we believe that when our employees thrive, our company thrives. That's why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance. • Robust health plan including medical, dental, and vision, • Health Savings Account with company contribution, • Annual Paid Time Off and Paid Holidays, • Paid Parental Leave, • 401k with generous company match, • Training and Development Opportunities, • Award Programs, • Variety of Company Sponsored Events EEO Statement GRVTY, 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 and will not be discriminated against on the basis of disability. Anyone requiring reasonable accommodations should email or call 703-544-7930 with requested details. A member of the HR team will respond to your request within 2 business days. Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov) Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.

Description This Department of War enterprise data and analytics program delivers mission-critical capabilities that enable leaders across the Department to make faster, better-informed decisions using trusted data at scale. Leidos Digital Modernization sector is seeking an experienced Senior Data Scientist Lead to support the delivery, enhancement, and adoption of enterprise data and analytics products used across multiple DoD organizations. In this role, you will work alongside government partners, engineers, and other industry teammates to translate operational and strategic requirements into scalable, production-ready solutions. You will contribute directly to product planning, execution, and continuous improvement-helping ensure capabilities are delivered efficiently, aligned to mission priorities, and positioned for sustained success. This position offers the opportunity to work on a high-visibility, enterprise program at the intersection of data, analytics, and emerging AI technologies. Ideal candidates are motivated by mission impact, comfortable operating in complex stakeholder environments, and interested in building deep domain expertise while delivering capabilities with real-world national security outcomes. Primary Responsibilities: * Lead efforts to extract insights from operational, service, and performance data to identify opportunities for improvement. * Lead development and deployment of advanced statistical models, machine learning algorithms, and predictive analytics solutions. * Design and develop predictive models and data-driven analytical frameworks that optimize processes and support informed decision-making. * Build models that forecast future demands, highlight operational and service-related risks, and detect performance anomalies in real time. * Collaborate with engineering and functional teams to ensure analytical outputs are accurate, actionable, and aligned with mission objectives. * Design experiments, feature engineering strategies, and model validation frameworks to support enterprise analytics objectives. * Collaborate with data engineering teams to ensure scalable data pipelines supporting model training and inference. * Integrate models into DevSecOps pipelines for automated testing, validation, and production deployment. * Develop and maintain documentation, evaluation metrics, and model performance dashboards. * Ensure responsible AI practices including bias detection, explainability, and performance monitoring. * Participate in PI Planning, backlog refinement, sprint reviews, and Inspect & Adapt events to align analytics priorities with Program Increment (PI) objectives. * Translate complex analytical findings into actionable insights for technical and executive stakeholders. * Provide direct supervision, mentoring, and performance management for assigned data scientists and analytics personnel. * Conduct performance evaluations, goal setting, and professional development planning. * Lead workforce planning and staffing alignment across data science workstreams. * Establish modeling standards, peer review processes, and analytical quality governance frameworks. * Foster a collaborative, innovative, and mission-focused analytics culture within the organization. Basic Qualifications: * Active Top Secret (TS) clearance with SCI eligibility. * Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or related technical discipline and 8 years of relevant experience OR Master's degree in a related field and 6 years of relevant experience. * Minimum of 8 years of experience in data science, data engineering, or a related field. * Strong proficiency in programming languages such as Python, R, SQL or similar analytical programming languages. * Experience with data engineering tools and platforms, such as Hadoop, Spark, or similar. * Experience developing and deploying machine learning and statistical models in enterprise environments. * Proven experience in designing and developing predictive models and data-driven analytical frameworks. * Experience performing data exploration, feature engineering, model validation, and performance tuning. * Knowledge of data security policies, including data encryption and access controls. * Experience with data governance frameworks and compliance enforcement. * Strong analytical and problem-solving skills. * Excellent communication and collaboration skills. * Demonstrated experience leading and mentoring technical analytics teams. Preferred Qualifications: * Active TS/SCI clearance. * Experience operating within SAFe or large-scale Agile frameworks supporting enterprise systems. * Experience supporting analytics initiatives across NIPRNet, SIPRNet, and JWICS environments. * Experience operationalizing AI/ML models in cloud-native environments (AWS, Azure, or GCP). * Knowledge of machine learning algorithms and frameworks such as PyTorch, TensorFlow, Scikit-learn, or equivalent. * Experience implementing model monitoring, drift detection, and continuous validation frameworks. * Experience supporting enterprise data, AI/ML, or digital modernization programs within DoD environments. * Experience with cloud-based data platforms and tools, such as AWS, Azure, or Google Cloud. * Experience with data visualization tools, such as Tableau or Power BI. * Experience with data catalog management and data sharing agreements. * Strong project management skills and experience leading cross-functional teams. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. March 16, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range $107,900.00 - $195,050.00 The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ___. Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ___. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the ___. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. #Featuredjob

Description This Department of War enterprise data and analytics program delivers mission-critical capabilities that enable leaders across the Department to make faster, better-informed decisions using trusted data at scale. Leidos Digital Modernization sector is seeking an experienced Senior AI Integration Engineer to support the delivery, enhancement, and adoption of enterprise data and analytics products used across multiple DoD organizations. In this role, you will work alongside government partners, engineers, and other industry teammates to translate operational and strategic requirements into scalable, production-ready solutions. You will contribute directly to product planning, execution, and continuous improvement-helping ensure capabilities are delivered efficiently, aligned to mission priorities, and positioned for sustained success. This position offers the opportunity to work on a high-visibility, enterprise program at the intersection of data, analytics, and emerging AI technologies. Ideal candidates are motivated by mission impact, comfortable operating in complex stakeholder environments, and interested in building deep domain expertise while delivering capabilities with real-world national security outcomes. Primary Responsibilities: * Implement AI components within existing systems and workflows to support operational use. * Design and manage interfaces and APIs that connect AI models to enterprise platforms. * Ensure reliable production performance by monitoring data flows, validating system interactions, and resolving integration issues. * Collaborate with software, data, and platform engineering teams to maintain stable and efficient AI deployment across the enterprise. * Prepare, maintain, and execute a System Engineering Plan (SEP) for managing all systems architecture and system engineering related aspects of the program. * Conduct systems engineering activities required to specify, build, and maintain system engineering designs for the System. * Design, prepare, and document systems engineering and cybersecurity artifacts for the System. * Establish and maintain an existing System Requirements management environment and associated system requirements management process for the System. * Support the Government in recommending and conducting enterprise system architecture activities to fully define and scope the System. * Define, document, maintain, and promulgate APIs and technical standards for using and interoperating within and outside the System. * Design, engineer, integrate, and continuously improve the underlying infrastructure of the System. * Identify, prepare, track, secure, and integrate government, commercial, and open-source tools and services into the System. * Design, architect, engineer, and continuously improve the user interface (UI) and user experience (UX) components of the Platform. * Design, build, and maintain services and products to effectively make production-ready AI/ML models accessible for customer use. * Design, architect, engineer, and continuously improve all aspects of cybersecurity elements of the System. * Perform site reliability engineering to build and maintain a reliable, scalable, and efficient System. Basic Qualifications: * Active Top Secret (TS) clearance with SCI eligibility. * Bachelor's degree in Computer Science, Engineering, Information Systems, Artificial Intelligence, or related technical discipline and 8-12 years of relevant experience OR Master's degree in a related field and 6-10 years of relevant experience. * At least one of the following foundational qualification pathways consistent with DoD 8140 requirements: * Current DoD 8570/8140 baseline certification appropriate for Intermediate/System Administrator roles (e.g., Cloud+, GICSP, GSEC, or SSCP), * Offerings listed in the DoD 8140 Training Repository, * Demonstrated equivalent training and experience qualifying under DoD 8140 foundational qualification alternatives. * Experience with designing and managing interfaces and APIs for AI models. * Proficiency in monitoring data flows, validating system interactions, and resolving integration issues. * Experience with cloud environments, network, data storage, logging, and auditing functions. * Knowledge of cybersecurity policies and requirements, including NIST security controls and Zero Trust compliance. * Experience with DevSecOps/Factory functions and mission spaces. * Ability to design and maintain system engineering and cybersecurity artifacts. * Experience developing Agentic AI solutions, including autonomous planning-execution-reflection loops, multi-agent collaboration and coordination, and tool usage patterns including API integration, retrieval-augmented generation (RAG), and memory/context management. * Solid understanding and hands-on experience with generative AI models including prompt engineering, chain-of-thought reasoning, and Natural Language Processing (NLP) tasks such as entity extraction, summarization, and semantic search. * Working knowledge of Large Language Models (LLMs) and agent frameworks such as LangChain, LangGraph, CrewAI, A2A, MCP, or AutoGen. * Experience using vector databases (e.g., Pinecone, Weaviate, FAISS). * Familiarity with deployment into virtualized and containerized environments (e.g., VMware, Docker, Kubernetes). Preferred Qualifications: * Active TS/SCI clearance. * SAFe Agilist (SA) or related SAFe certification. * Experience supporting AI/ML solutions across multi-enclave DoD environments. * Experience implementing automated model validation, bias detection, and drift monitoring frameworks. * Experience integrating AI services into enterprise APIs and microservices architectures. * Experience optimizing GPU-based training and inference pipelines. * Experience supporting enterprise-scale analytics, data platforms, or AI modernization initiatives. Experience designing and implementing safety, guardrails, and bias-mitigation strategies for autonomous agents and multiagent systems * Experience integrating agents with cloud-native workflows, streaming data pipelines, and real-time decision-making environments * Familiarity with evaluation and observability tools for AI agents, such as LangSmith, OpenAI Evals, or custom telemetry systems * Experience with AI service integration such as NIMS, Azure OpenAI, Bedrock, GCP Vertex AI * Hands-on GPU programming experience for ML workloads using CUDA, PyTorch, or TensorFlow, including optimization for performance and efficiency. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. March 10, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range $107,900.00 - $195,050.00 The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ___. Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ___. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the ___. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Description This Department of War enterprise data and analytics program delivers mission-critical capabilities that enable leaders across the Department to make faster, better-informed decisions using trusted data at scale. Leidos Digital Modernization sector is seeking an experienced Senior Data Scientist to support the delivery, enhancement, and adoption of enterprise data and analytics products used across multiple DoD organizations. In this role, you will work alongside government partners, engineers, and other industry teammates to translate operational and strategic requirements into scalable, production-ready solutions. You will contribute directly to product planning, execution, and continuous improvement-helping ensure capabilities are delivered efficiently, aligned to mission priorities, and positioned for sustained success. This position offers the opportunity to work on a high-visibility, enterprise program at the intersection of data, analytics, and emerging AI technologies. Ideal candidates are motivated by mission impact, comfortable operating in complex stakeholder environments, and interested in building deep domain expertise while delivering capabilities with real-world national security outcomes. Primary Responsibilities: * Lead efforts to extract insights from operational, service, and performance data to identify opportunities for improvement. * Lead development and deployment of advanced statistical models, machine learning algorithms, and predictive analytics solutions. * Design and develop predictive models and data-driven analytical frameworks that optimize processes and support informed decision-making. * Build models that forecast future demands, highlight operational and service-related risks, and detect performance anomalies in real time. * Collaborate with engineering and functional teams to ensure analytical outputs are accurate, actionable, and aligned with mission objectives. * Design experiments, feature engineering strategies, and model validation frameworks to support enterprise analytics objectives. * Collaborate with data engineering teams to ensure scalable data pipelines supporting model training and inference. * Integrate models into DevSecOps pipelines for automated testing, validation, and production deployment. * Develop and maintain documentation, evaluation metrics, and model performance dashboards. * Ensure responsible AI practices including bias detection, explainability, and performance monitoring. * Participate in PI Planning, backlog refinement, sprint reviews, and Inspect & Adapt events to align analytics priorities with Program Increment (PI) objectives. * Translate complex analytical findings into actionable insights for technical and executive stakeholders. * Establish modeling standards, peer review processes, and analytical quality governance frameworks. * Foster a collaborative, innovative, and mission-focused analytics culture within the organization. Basic Qualifications: * Active Top Secret (TS) clearance with SCI eligibility. * Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or related technical discipline and 8-12 years of relevant experience OR Master's degree in a related field and 6-10 years of relevant experience. * Minimum of 8 years of experience in data science, data engineering, or a related field. * Strong proficiency in programming languages such as Python, R, SQL or similar analytical programming languages. * Experience with data engineering tools and platforms, such as Hadoop, Spark, or similar. * Experience developing and deploying machine learning and statistical models in enterprise environments. * Proven experience in designing and developing predictive models and data-driven analytical frameworks. * Experience performing data exploration, feature engineering, model validation, and performance tuning. * Knowledge of data security policies, including data encryption and access controls. * Experience with data governance frameworks and compliance enforcement. * Strong analytical and problem-solving skills. * Excellent communication and collaboration skills. Preferred Qualifications: * Active TS/SCI clearance. * Experience operating within SAFe or large-scale Agile frameworks supporting enterprise systems. * Experience supporting analytics initiatives across NIPRNet, SIPRNet, and JWICS environments. * Experience operationalizing AI/ML models in cloud-native environments (AWS, Azure, or GCP). * Knowledge of machine learning algorithms and frameworks such as PyTorch, TensorFlow, Scikit-learn, or equivalent. * Experience implementing model monitoring, drift detection, and continuous validation frameworks. * Experience supporting enterprise data, AI/ML, or digital modernization programs within DoD environments. * Experience with cloud-based data platforms and tools, such as AWS, Azure, or Google Cloud. * Experience with data visualization tools, such as Tableau or Power BI. * Experience with data catalog management and data sharing agreements. * Strong project management skills and experience leading cross-functional teams. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. March 25, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range $107,900.00 - $195,050.00 The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ___. Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ___. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the ___. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. #Featuredjob

Description This Department of War enterprise data and analytics program delivers mission-critical capabilities that enable leaders across the Department to make faster, better-informed decisions using trusted data at scale. Leidos Digital Modernization sector is seeking an experienced SME AI Solutions Architect Lead to support the delivery, enhancement, and adoption of enterprise data and analytics products used across multiple DoD organizations. In this role, you will work alongside government partners, engineers, and other industry teammates to translate operational and strategic requirements into scalable, production-ready solutions. You will contribute directly to product planning, execution, and continuous improvement-helping ensure capabilities are delivered efficiently, aligned to mission priorities, and positioned for sustained success. This position offers the opportunity to work on a high-visibility, enterprise program at the intersection of data, analytics, and emerging AI technologies. Ideal candidates are motivated by mission impact, comfortable operating in complex stakeholder environments, and interested in building deep domain expertise while delivering capabilities with real-world national security outcomes. Primary Responsibilities: * Design and implement end-to-end AI architectures that meet mission, performance, and security requirements. * Define system topology, data flows, model serving patterns, and integration points using scalable frameworks. * Select and configure AI platforms and model orchestration tools to ensure high availability and low latency. * Collaborate with software, data, and platform engineers to validate architecture decisions and optimize deployment patterns. * Ensure compliant, production-grade implementation of AI capabilities across classified and unclassified environments. * Lead a team of 8-15 direct reports, providing mentorship and guidance to enhance team performance. * Develop and maintain a System Engineering Plan (SEP) to manage all systems architecture aspects. * Conduct systems engineering activities to specify, build, and maintain system engineering designs. * Manage requirements and maintain a system requirements management environment. * Support enterprise system architecture activities to define and scope the AI solutions. * Define, document, and maintain APIs and technical standards for interoperability. * Engineer and continuously improve the underlying infrastructure of the AI platform. * Identify and integrate government, commercial, and open-source tools into the AI environment. * Design and enhance user interface (UI) and user experience (UX) components of the platform. * Implement and maintain services for production-ready AI/ML models. * Ensure cybersecurity compliance and maintain cybersecurity architecture for the AI system. * Perform site reliability engineering to maintain a reliable and efficient AI platform. Basic Qualifications: * Active Top Secret (TS) clearance with SCI eligibility. * Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related technical discipline and 8-12 years of relevant experience OR Master's degree in a related field and 6-10 years of relevant experience. * Minimum of 10 years of experience in systems engineering and AI and/or data intelligence architectures. * Experience architecting and deploying enterprise AI/ML solutions in cloud environments (AWS, Azure, or GCP). * Experience designing and delivering AI/ML solutions in enterprise cloud environments (AWS, Azure, or GCP). * Experience integrating AI/ML capabilities into production systems using APIs and microservices architectures. * Experience developing AI/ML pipelines including data preparation, model training, validation, and deployment. * Experience working across cross-functional teams to deliver integrated technical solutions. * Experience operating within SAFe or large-scale Agile frameworks supporting enterprise systems. * Experience with system architecture design and implementation in classified environments. * Experience developing Agentic AI solutions such as autonomous planning-execution-reflection loops, multi-agent collaboration and coordination, and tool usage patterns including API integration, retrieval-augmented generation (RAG), and memory/context management) * Experience using vector databases (e.g., Pinecone, Weaviate, FAISS) * Demonstrated experience leading and mentoring technical engineering teams. * Strong understanding of AI/ML technologies and their application in enterprise environments. * Strong understanding of AI/ML frameworks (e.g., PyTorch, TensorFlow) and data engineering concepts. * Solid understanding and hands-on experience with generative AI models such as prompt engineering, chain-of-thought reasoning, and Natural Language Processing (NLP) tasks such as entity extraction, summarization, and semantic search. * Working knowledge of Large Language Models (LLMs) and agent frameworks such as LangChain, LangGraph, CrewAI, A2A, MCP, or AutoGen * Familiarity with deployment into virtualized and containerized environments (e.g., VMware, Docker, Kubernetes) Preferred Qualifications: * Active TS/SCI clearance. * 12+ years of experience in AI solutions architecture and systems engineering. * Experience operating within SAFe or large-scale Agile frameworks supporting enterprise systems. * SAFe Agilist (SA) or SAFe Architect certification. * Advanced cloud architecture certification (e.g., AWS Solutions Architect - Professional, Azure Solutions Architect Expert, Google Professional Cloud Architect). * Experience supporting AI solutions across multi-enclave DoD environments. * Experience implementing AI governance, model validation, and bias mitigation frameworks. * Experience integrating AI/ML solutions with enterprise data platforms and analytics environments. * Experience supporting AI/ML-enabled mission applications or decision-support systems. * Experience integrating AI/ML workloads with GPU-accelerated environments and performance optimization strategies. * Experience supporting enterprise data, analytics, and AI platform modernization initiatives. * Experience designing and implementing safety, guardrails, and bias-mitigation strategies for autonomous agents and multiagent systems * Experience integrating agents with cloud-native workflows, streaming data pipelines, and real-time decision-making environments * Familiarity with evaluation and observability tools for AI agents, such as LangSmith, OpenAI Evals, or custom telemetry systems * Experience with AI service integration such as NIMS, Azure OpenAI, Bedrock, GCP Vertex AI * Hands-on GPU programming experience for ML workloads using CUDA, PyTorch, or TensorFlow, including optimization for performance and efficiency. * Familiarity with DoD standards and policies related to AI and cybersecurity. * Experience with cloud-based AI platforms and tools. * Relevant certifications in AI/ML or systems engineering If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. March 25, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range $107,900.00 - $195,050.00 The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ___. Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ___. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the ___. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Description This Department of War enterprise data and analytics program delivers mission-critical capabilities that enable leaders across the Department to make faster, better-informed decisions using trusted data at scale. Leidos Digital Modernization sector is seeking an experiencedSeniorMLOpsEngineerto support the delivery, enhancement, and adoption of enterprise data and analytics products used across multiple DoD organizations. In this role, you will work alongside government partners, engineers, and other industry teammates to translate operational and strategic requirements into scalable, production-ready solutions. You will contribute directly to product planning, execution, and continuous improvement-helping ensure capabilities are delivered efficiently, aligned to mission priorities, and positioned for sustained success. This position offers the opportunity to work on a high-visibility, enterprise program at the intersection of data, analytics, and emerging AI technologies. Ideal candidates are motivated by mission impact, comfortable operating in complex stakeholder environments, and interested in building deep domainexpertisewhile delivering capabilities with real-world national security outcomes. Primary Responsibilities: * Design, build, andmaintainscalable machine learning pipelines for model deployment, validation, monitoring, and lifecycle management. * Implement model versioning, drift detection, and continuous retraining workflows to ensure model accuracy and compliance. * Collaborate with data scientists, platform engineers, and security teams to ensure reliable, secure, and efficient delivery of AI/ML capabilities. * Develop andmaintainsystems engineering and cybersecurity artifacts for the System. * Prepare,maintain, and execute a System Engineering Plan (SEP) for managing all systems architecture and system engineering related aspects of the program. * Conduct systems engineering activities required to specify, build, andmaintainsystem engineering designs for the System. * Design, engineer, integrate, and continuously improve the underlying infrastructure of the System including cloud environment, network, data storage, logging, and auditing functions. * Define, document,maintain, andpromulgateAPIs and technical standards for using and interoperating within and outside the System. * Establish andmaintainintegrations with external model providers, making their available models accessible via API. * Provide Tier-4 support for any critical issues with the available services and products,in accordance withdefined SLAs. * Design, architect, engineer, and continuously improve all aspects of cybersecurity elements of the System. * Perform site reliability engineering to build andmaintaina reliable, scalable, and efficient System by applying software engineering principles to operational tasks. * Participate in the Engineering Control Board (ECB) process for supporting all major engineering milestones and decisions for the program. Basic Qualifications: * Bachelor's degree in Computer Science, Engineering, or a related field. * Minimum of 8 years of experience in machine learning operations (MLOps) or related fields. * Experience with cloud platforms that host and manage infrastructuresuch as AWS, Azure, or Google Cloud. * Proficiencyin programming languages such as Python, Java, or C++. * Experience with containerization and orchestration tools like Docker and Kubernetes. * Strong understanding of machine learning model lifecycle management. * Experience with CI/CD pipelines and version control systems like Git. * Top Secret clearancerequiredto start. * Strong problem-solving skills and ability to work in a collaborative environment. Preferred Qualifications: * Master's degree in Computer Science, Engineering, or a related field. * TS/SCI with CI Poly clearance. * Experience with AI/ML frameworks such as TensorFlow,PyTorch, or scikit-learn. * Familiarity with DoD standards, referencedesigns, and policy. * Experience with cybersecurity practices and compliance. * Knowledge ofDevSecOpspractices and tools. * Experience with site reliability engineering (SRE) principles. * Strong communicationand documentation skills. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. March 2, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range $107,900.00 - $195,050.00 The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ___. Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ___. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the ___. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Job DescriptionDescription: Position Description JPI is hiring a Senior Data Practitioner with 10 years of experience to assist the United States Coast Guard (USCG) Office of Data and Analytics with end-to-end data lifecycle support. This role requires a broad range of capabilities including data architecture and integration, data engineering (e.g., building data pipelines and ingest patterns to move raw data from data producers to an enterprise data ecosystem and validating data for enterprise use), data science (modeling and development to support operational initiatives), and analytics development. The role requires a unique blend of technical expertise, along with strong project management and leadership skills to drive the project. The candidate will lead a team providing support to a federal client. They will work closely with developers, domain SMEs, software engineers, and data architects within JPI and with the USCG client. The Senior Data Practitioner will provide thought leadership and direction for improvements to data architecture and engineering and data reporting and visualization efforts, while implementing sophisticated and efficient methods and tools for delivery to solve large scale and complex enterprise-wide problems. JPI is hiring a Technical Lead to join a hybrid team who can work onsite, as needed. This is a W2 opportunity. At JPI, we strive to empower our people and excel for our clients. We hold ourselves to high standards and prioritize our values of being one team with unwavering integrity. We are motivated by our mission and driven to deliver solutions that exceed expectations. Will you join us? Responsibilities Include: • Oversee Project Execution, • Translate business needs and value between IT, business, software engineers and data engineers, collaborating with these multi-disciplinary teams., • Foster a collaborative work environment, guiding and mentoring team members in achieving project milestones., • Collaborate with client teams to understand and document data requirements with emphasis on identifying sources to meet those requirements., • Communicate with relevant external office stakeholders to understand the requirements, locations, and methods of data access., • Data Science, Analysis, and Reporting, • Explore data and craft models to answer core business problems that may not have a common blueprint., • Work with large datasets and solve difficult analytical problems, applying advanced methods., • Lead the invention of new approaches and algorithms for tackling data-intensive problems., • Build and refine accurate forecasting models using Python., • Investigate frameworks to determine the best framework for analyses, reports and data visualizations., • Validate and maintain the integrity and accuracy of data used in the forecasting process., • Liaise with internal teams to gather requirements and provide updates., • Lead rigorous testing phases to ensure the reliability and effectiveness of the forecasting system., • Document processes from data source(s) to final deliverable(s)., • Create and drive data science innovation within the organization, helping define and build foundational processes, and enabling the delivery of key business initiatives that adhere to technical standards for data science and machine learning, including the design and construction of reusable data assets., • Provide mentorship and guidance to developers to support continued training. Requirements: • BA/BS with 10 years of experience; or Master’s degree with 8 years of experience., • PMP certification, Certified Scrum Master, Certified Scrum Product Owner, DHS mid-level Project Management certification, or equivalent certification., • Must hold active Public Trust, or other security clearance., • Technical background in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, or other quantitative and computational sciences., • Experience creating, managing, and troubleshooting complex data flows., • A compelling track record of Data Science / Engineering expertise, designing and deploying large scale technical solutions that deliver tangible, ongoing value., • Experience with core ML frameworks, including SKLearn, XGBoost, TensorFlow, PyTorch, and MLlib., • Experience with modern programming languages, including Python, Scala, R, C++, and Java., • Experience with data tools and frameworks, including MLFlow, Spark, Kafka, Hive, and Hadoop., • Experience in crafting database / data warehouse solutions in cloud (Preferably AWS. Alternatively Azure, GCP)., • Key must have skill sets – Python, SQL, Databricks, AWS Data Services, Qlik, PowerBI, • Strong written and verbal communication skills to interact with internal and external stakeholders., • Proficiency in the following Microsoft applications: Word, Excel, PowerPoint, Outlook., • Experience building and maintaining trusting client relationships and prioritizing demands., • Must be a self-starter with the ability to work effectively independently., • Proven ability to support and coordinate multiple projects simultaneously in a deadline-driven process., • Ability to work remotely and onsite as needed at USCG HQ in Washington, DC., • Must hold U.S. Citizenship Preferred Experience • Relevant experience in direct support of the US Coast Guard, Government Agencies supporting defense, Homeland Security., • Understanding of project management methodologies and tools (Agile, Scrum, PMBOK, Microsoft Planner, Jira, Kanban, best practices, tools, and templates)., • Capability to manage projects of high complexity and to direct the completion of projects within estimated timeframes and resource constraints., • Ability to recognize new business development opportunities. Transferable Skills for Management Consulting • Problem solving and critical thinking., • Thinking ‘two steps ahead’ and being prepared for what the client will need next., • Taking initiative instead of waiting to be told what to do., • Managing multiple tasks and prioritizing according to importance., • Flexibility to pivot and adapt to changes in direction of new things., • Considering the details and ensuring accuracy in the small things., • Building rapport with colleagues and clients. Developing a reputation as someone who is responsive and trustworthy. JPI is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job Description Analytica is seeking a highly skilled Senior MLOps Engineer to lead the design, development, and deployment of machine learning operations infrastructure for defense applications. This role requires expertise in systems integration, ML pipeline development, and responsible AI practices within government environments. The position focuses on building scalable data and AI capabilities that support DoD mission-critical operations while ensuring compliance with responsible AI principles. This position offers the opportunity to shape the future of AI and machine learning capabilities within the Department of Defense while ensuring responsible, ethical, and effective deployment of advanced technologies in support of national security missions. Analytica has been recognized by Inc. Magazine as one of the fastest-growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products that impact our day-to-day lives. The company offers competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401k match. Responsibilities: Systems Integration & Command-and-Control Development: • Serve as subject matter expert for systems integration supporting the design, development, and deployment of command-and-control products, • Lead networking and integration efforts for AI/ML systems deployed in operational and exercise environments, • Design and implement robust MLOps pipelines that support real-time decision-making capabilities for defense applications, • Provide senior technical expertise in modeling, designing, and delivering advanced data tools and ML platforms for DoD-wide adoption, • Build and maintain scalable infrastructure to handle massive-scale video, image, structured and unstructured text data processing, • Develop automated data ingestion, preprocessing, and feature engineering pipelines that support diverse data types and formats, • Establish and maintain an enterprise-level advanced technology pipeline to accelerate AI/ML adoption across the agency., • Implement data quality monitoring, validation, and governance frameworks to ensure high-quality training datasets, • Design and optimize ML model training, testing, and deployment workflows that reduce implementation cycles, • Support the development of optimization models for government engagement with external partners and technology vendors, • Create and maintain integration workflows that leverage external capabilities while maintaining security and compliance standards, • Create, iterate, and publish comprehensive guidance materials for data science and AI development practices, • Develop and maintain coding standards and best practices documentation for ML development teams, • Design and implement data integration solutions that support enterprise data mesh architecture, • Develop real-time data feed integration capabilities for live operational data streams, • Build APIs and microservices that enable seamless data sharing across DoD systems and applications, • Lead the implementation and management of DoD responsible artificial intelligence programs and initiatives, • Integrate responsible AI tools, frameworks, and assessment methodologies into existing and new use cases, • Develop comprehensive performance metrics and evaluation frameworks for AI/ML projects and tools, • Conduct regular assessments of AI system outcomes, bias detection, and ethical compliance, • Establish MLOps monitoring and observability solutions for production ML systems, • Develop automated model performance tracking, drift detection, and retraining pipelines, • Create dashboards and reporting tools that provide visibility into ML system performance and reliability, • Conduct post-deployment analysis and continuous improvement of ML operations processes Required Qualifications:, • Bachelor's degree in Computer Science, Data Science, Machine Learning, or related technical field; Master's degree preferred, • Minimum 7-10 years of experience in MLOps, DevOps, or related systems engineering roles, • Strong expertise in ML frameworks (TensorFlow, PyTorch, Scikit-learn), containerization (Docker, Kubernetes), and cloud platforms, • Experience with data pipeline tools (Apache Airflow, Kubeflow, MLflow) and big data technologies (Spark, Hadoop), • Experience with defense or intelligence community AI/ML projects, • Certifications in cloud platforms (AWS ML, Azure AI, GCP ML) and MLOps tools, • Knowledge of responsible AI frameworks and bias detection methodologies, • Experience with real-time data processing and streaming technologies, • Familiarity with DoD enterprise architecture and data sharing standards Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable laws When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity. Powered by JazzHR PV7NGnRobU

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With nine offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. This position is ideal for an individual who thrives on building advanced perception systems that enable autonomous aircraft to operate effectively in complex and contested environments. A successful candidate will be skilled in developing real-time object detection, sensor fusion, and state estimation algorithms using data from diverse mission sensors such as EO/IR cameras, radars, and IMUs. The role requires strong algorithmic thinking, deep familiarity with airborne sensing systems, and the ability to deliver performant software in simulation and real-world conditions. Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Perception Engineers are instrumental in creating the situational awareness that underpins autonomy, ensuring our systems understand and respond to the operational environment with speed, precision, and resilience.What you'll do: • Develop advanced perception algorithms — Design and implement robust algorithms for object detection, classification, and multi-target tracking across diverse sensor modalities., • Implement sensor fusion frameworks — Integrate data from vision systems, radars, and other mission sensors using probabilistic and deterministic fusion techniques to generate accurate situational awareness., • Develop state estimation capabilities — Design and refine algorithms for localization and pose estimation using IMU, GPS, vision, and other onboard sensing inputs to enable stable and accurate navigation., • Analyze and utilize sensor ICDs — Interpret interface control documents (ICDs) and technical specifications for aircraft-mounted sensors to ensure correct data handling, interpretation, and synchronization., • Optimize perception performance — Tune and evaluate perception pipelines for performance, robustness, and real-time efficiency in both simulation and real-world environments., • Support autonomy integration — Work closely with autonomy, systems, and integration teams to interface perception outputs with planning, behaviors, and decision-making modules., • Validate in simulated and operational settings — Leverage synthetic data, simulation environments, and field testing to validate algorithm accuracy and mission readiness., • Collaborate with hardware and sensor teams — Ensure seamless integration of perception algorithms with onboard compute platforms and diverse sensor payloads., • Drive innovation in airborne sensing — Contribute novel ideas and state-of-the-art techniques to advance real-time perception capabilities for unmanned aircraft operating in complex, GPS-denied, or contested environments., • Travel Requirement – Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).Required Qualifications:, • BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience, • Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience., • Background in implementing algorithms such as Kalman Filters, multi-target tracking, or deep learning-based detection models., • Familiarity with fusing data from radar, EO/IR cameras, or other sensors using probabilistic or rule-based approaches., • Familiarity with SLAM, visual-inertial odometry, or sensor-fused localization approaches in real-time applications., • Ability to interpret and work with Interface Control Documents (ICDs) and hardware integration specs., • Proficiency with version control, debugging, and test-driven development in cross-functional teams., • Ability to obtain a SECRET clearance.Preferred Qualifications:, • Hands-on integration or algorithm development with airborne sensing systems., • Experience with ML frameworks such as PyTorch or Tensorflow, particularly for vision-based object detection or classification tasks., • Experience deploying perception software on SWaP-constrained platforms., • Familiarity with validating perception systems during flight test events or operational environments., • Understanding of sensing challenges in denied or degraded conditions. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description This is a remote position. Job Title: AI Engineer Location: Remote Duration: Full-Time NEED IRS MBI Clearance. Experience & Leadership: 3–5+ years in software/ML engineering with a strong track record of leading end-to-end AI/ML projects and mentoring junior team members. Technical Skills: Proficient in Python, deep learning (PyTorch/TensorFlow), Natural Language Processing (NLP) /LLMs, MLOps (e.g. MLflow, Docker, cloud platforms), and data pipelines. Deployment Expertise: Hands on experience deploying models to production using tools like SageMaker, Vertex AI, or custom APIs (FastAPI, TorchServe). Soft Skills: Strong communication, cross-functional collaboration, critical thinking, and the ability to translate business needs into AI solutions. Bonus/Preferred: Experience with LLMs, generative AI, RAG, open-source contributions, or domain expertise in finance, healthcare, or recommendation systems.

Job Description Agentic AI Machine Learning Engineer Willingness to work onsite 1-3 days/week in Washington, DC, Alexandria, VA, Annapolis Junction, MD, Arlington, VA, McLean, VA. Direct Hire At least Secret clearance is required to start Responsibilities: • Design, create, and implement complete AI systems that transform client operations and enhance data accessibility, • Build mission-oriented machine learning solutions capable of handling fast-moving data, scaling with infrastructure, and expanding based on evolving requirements, • Ensure solutions consider the broader ecosystem, operating environment, and future enhancements, • Deepen skills in software engineering, MLOps, and deployment of AI and ML models into various mission environments, • Evaluate LLM performance and build observation layers for stakeholders using tools such as Grafana, Langfuse, LangSmith, or Phoenix, • Connect AI agents to APIs, cloud platforms, or databases and evaluate architectural tradeoffs for scalable service-based applications, • Work effectively within cloud environments like AWS and Azure Requirements: • 3+ years of experience as an ML engineer building production-grade ML solutions, including work involving LLMs, agents, or automation frameworks, • 3+ years of experience in data science or data research, including model training and deployment across multiple data modalities, • 3+ years working in cloud environments such as AWS and Azure, • 2+ years deploying and integrating ML models using Docker, Kubernetes, and related tools, • Experience with Large Language Models, Deep Learning, Reinforcement Learning, and AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex, • Experience connecting agents to APIs, cloud platforms, or databases, • Ability to evaluate architectural tradeoffs and design scalable, robust service-based applications, • Bachelor’s degree required; Secret clearance eligibility required Nice to Have: • Experience with ML frameworks like TensorFlow, PyTorch, llama.cpp, or vLLM, • Client engagement and project management experience, • Background in deep learning, computer vision, NLP, or signal processing, • Experience deploying data brokering solutions such as Kafka, Red Panda, Confluent, • Excellent verbal and written communication, interpersonal, analytical, and organizational skills Company DescriptionSystem One is a leading provider of specialized, highly technical services and solutions to critical infrastructure, technology, life sciences, and government sectors. We partner with large private and public organizations who trust us to execute their complex, mission-critical initiatives through our outsourced services and workforce solutions.System One is a leading provider of specialized, highly technical services and solutions to critical infrastructure, technology, life sciences, and government sectors. We partner with large private and public organizations who trust us to execute their complex, mission-critical initiatives through our outsourced services and workforce solutions.

Job DescriptionCompany Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Visa USA Inc., a Visa Inc. company, needs a Sr. Data Scientist (multiple openings) in Washington, DC to: • Responsible for design, development and delivery of personalization models and signals to fuel AI products and services on a global scale., • Execute data science capabilities in the personalization space., • Design and develop large-scale data science systems., • Foster innovation and experimentation within the team., • Apply advanced data science techniques to drive business impact., • Stay up-to-date with industry trends and emerging technologies., • Develop and maintain expertise in multiple programming languages and data science tools., • Work closely with cross-functional teams to integrate data science capabilities., • Communicate complex technical concepts and results to stakeholders., • Influence business decisions with data-driven insights., • Up to 10% domestic travel required., • Position reports to the employer’s Washington, DC office and may allow for partial telecommuting.Qualifications Basic Qualifications: • Bachelor’s degree in Computer Science, Data Analytics, Operations Research, Statistics, or related field, followed by 5 years of progressive, post-baccalaureate experience in the job offered or in a Data Scientist-related occupation., • Alternatively, a Master’s degree in Computer Science, Data Analytics, Operations Research, Statistics, or related field and 2 years of experience in the job offered or in a Data Scientist-related occupation., • Position requires experience in the following:, • Deep Learning., • Machine Learning., • Recommendation Systems., • Generative Models., • Statistical analyses., • Python and Spark., • Scikit-learn and experience with a deep learning library (Tensorflow, PyTorch)., • Working with real-world data sets and building scalable models from large-scale data., • Work with cross-functional teams to integrate data science capabilities and communicate complex technical concepts/results to stakeholders. Additional Information Worksite: Washington, DC This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs. Travel Requirements: Up to 10% domestic travel required. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. U.S. APPLICANTS ONLY: The estimated salary range for this position is $170,872.00 USD to $232,700.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Job Description Corner Alliance is a dynamic, growing consulting firm that devotes itself to providing an enriching employee experience while working in meaningful ways to create results for the government. We are currently seeking a Data Scientist with 8+ years of experience to join our team and fully embrace our commitment to deliver, grow and thrive. This position is contingent upon award About the Role: As a Data Scientist supporting our Federal government client, you will be trusted to support the development of the Data Strategy, articulating how the organization will accelerate the adoption of data, analytics, and artificial intelligence (AI) to enable joint operational situational awareness and data-driven decision-making. In this role, you will lead advanced analytics efforts, enhance enterprise data capabilities, and transform complex datasets into actionable insights that support mission outcomes. Key Responsibilities include (but are not limited to): • Develop predictive, descriptive, diagnostic, and prescriptive models, including forecasting, classification, clustering, and anomaly detection, • Deliver analytical insights using Power BI, Python visualization libraries, and interactive dashboards, • Enhance existing data pipelines to restructure, clean, and transform both quantitative datasets and large volumes of qualitative/unstructured data (e.g., survey responses) into analysis-ready outputs and succinct, accurate visualizations for integration into the enterprise database on a monthly basis, • Enhance and develop new business intelligence data visualizations to provide the right information at the right time for leadership to have joint operational situational awareness and make informed decisions upon completion of all dashboards request and upon request, usually on monthly basis., • Develop areas within the current data management and exploratory analyses efforts where AI/ML will expand capabilities and deliver performance enhancements., • Deliver spatial data science solutions to extract deeper insights to uncover hidden patterns and improve predictive modeling., • Operate and maintain the Palantir or equivalent foundry platform., • Develop scripts to curate select datasets for integration into business intelligence data products, • Enhance and maintain data pipelines used to restructure, clean, and transform datasets for integration into the enterprise data warehouse, • Design, enhance, and develop business intelligence dashboards and data visualizations to provide leadership with timely, actionable insights and joint operational situational awareness, • Lead exploratory data analysis efforts to identify trends, risks, and opportunities across complex datasets, • Identify and develop opportunities within existing data management and analytics efforts where AI/ML can expand capabilities and deliver performance enhancements, • Deliver spatial data science solutions to extract deeper insights, uncover hidden patterns, and improve predictive modeling, • Leverage advanced analytics and visualization tools (e.g., Power BI, ArcGIS, Palantir or equivalent platforms) to support decision-making and performance tracking, • Translate complex analytical findings into clear, concise reports and presentations for technical and non-technical stakeholders, • Ensure analytics products meet federal standards for quality, accuracy, documentation, and usability, • Provide technical leadership and guidance on analytics best practices across data initiatives Required Experience/Skills: • A Bachelor’s degree and 8 years of relevant professional experience, • Demonstrated experience supporting advanced data analytics initiatives, preferably in a federal or consulting environment, • Advanced proficiency in Python and SQL, including use of scientific computing and modeling libraries (e.g., Pandas, NumPy, SciPy, scikit-learn, PyTorch, TensorFlow), • Hands-on experience with Databricks for data engineering, distributed processing, feature engineering, and model development, • Experience working with large, complex, structured and semi-structured datasets in cloud-based or enterprise data platforms, • Proficiency in data curation, transformation, and pipeline development using Python within modern IDEs (e.g., Visual Studio Code, PyCharm), • Experience using DevOps/Git-based repositories for version control, CI/CD workflows, code review, and production deployment, • Demonstrated ability to design, validate, document, and defend analytical methodologies, assumptions, model performance, and results, • Experience leveraging LLMs and AI techniques for natural language processing, automation, and decision-support use cases, • Proficiency in data curation, transformation, and pipeline development using Python within modern IDEs (e.g., Visual Studio Code, PyCharm), • Experience using DevOps/Git-based repositories for version control, CI/CD workflows, code review, and production deployment, • Strong experience working with relational databases and data warehousing technologies using SQL and optimized query patterns, • Experience delivering analytical insights using Power BI, Python visualization libraries, and interactive dashboards, • Experience with geospatial analytics and visualization using ArcGIS Desktop, ArcGIS Online, or similar platforms, • Ability to translate technical findings into clear, executive-level insights and decision-ready outputs, • Experience contributing to enterprise analytics ecosystems integrating Databricks, BI platforms, and AI/ML workflows, • Strong written and verbal communication skills, with the ability to present complex data clearly and effectively, • US citizenship and the ability to pass public trust clearance or suitabilityPreferred Experience/Skills:, • Experience operating or supporting Palantir Foundry or similar data foundry platforms, • Exposure to ML Ops practices, model monitoring, retraining pipelines, and governance Don’t think you have everything for this role but are still very interested? Please don’t hold back from applying because you may not have it all. You can learn and grow with us. We're looking for someone who is coachable, unflappable in navigating challenges, resourceful in learning new skills, innovative in challenging the status quo, excellent in writing, analytical in thinking, skilled in prioritization, and a rapport builder with clients and colleagues. About Us: Corner Alliance offers a comprehensive and competitive benefits package for full-time employees including 401k matching (4%), PTO (3 weeks to start, 4 weeks (2-5 years) and 5 weeks (5 years+)), health, dental, vision, short- and long-term disability, FSA accounts, 4 weeks of paid parental leave, 11 paid holidays (including your birthday off), fitness & cell phone reimbursements, monthly all hands update meetings, annual in-person all hands team building day and evening out, regular check-ins for professional growth goals, semi-monthly one on one performance manager meetings, a social team that coordinates monthly events, use of technology like Slack to keep us connected and collaborative, and overall, a company culture dedicated to a highly engaged team. Corner Alliance is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex (including pregnancy, gender identity, and sexual orientation), national origin, disability status, genetics, protected veteran status, or any other basis covered by applicable law. We are dedicated to building a talented workforce that reflects the strength of our society and our shared commitment to excellence. In compliance with the Americans with Disabilities Act Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position with Corner Alliance please call (202) 754-8120 or email . Corner Alliance participates in the E-verify program and will provide the Federal Government with Form I-9 information to confirm work authorization in the U.S. Visit us at to learn more. Securing Your Data: Beware of fake employment opportunities using Corner Alliance’s name. Corner Alliance will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Corner Alliance ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Corner Alliance will only communicate with you through our ATS system JazzHR and/or emails that are generated by the corneralliance.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Corner Alliance that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at . If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Salary: Approximate Salary Estimate: $120,000 - $145,000 annually The estimate displayed represents the typical salary range of candidates hired. Factors that may be used to determine your actual salary may include your specific skills, how many years of experience you have, and comparison to other employees already in this role. Powered by JazzHR zR9dZ8TV3Z

Job DescriptionTeam Description: Kitware is a leader in advanced research and algorithm development in artificial intelligence (AI), spanning computer vision (CV), natural language processing (NLP), vision-language models (VLMs), and other generative AI technologies. Our solutions embracing AI add measurable value to government agencies, commercial organizations, and academic institutions worldwide. We have developed a deep understanding in extracting useful, actionable information from multiple data sources like images, video, metadata, audio, and text, and we recognize the need for robust, affordable solutions. We seek to advance AI, CV, and other related fields through research and development and collaborative projects that can contribute to our open source software platforms, such as XAITK, NRTK, and GeoWATCH. About the Projects: Kitware’s employees have unique opportunities to interact and collaborate directly with customers, visit interesting customer sites, and participate in live field tests and demonstrations. Much of Kitware’s work involves applying state-of-the-art artificial intelligence approaches to dynamic, real-world problems. We consider the work that we do on our government contracts as one of the ways that we give back to the community. We partner with premier government R&D agencies such as DARPA, IARPA, AFRL, Army C5ISR, NOAA, and other branches of the US Government on a range of efforts, including prime contracts, SBIRs, and STTRs. In addition, we provide commercial services to companies ranging from startups to Fortune 500 companies. Kitware employs an open source business model to foster extended, collaborative communities and to provide effective, flexible, and high-quality technical solutions.In This Position You Will: • Collaborate with researchers on projects related to machine learning, artificial intelligence, and computer vision, • Perform rapid prototyping and enhanced development to be integrated into operational systems, • Contribute your strong programming ability and experience to develop robust solutions for real-world problems, • Validate, optimize, and deploy advanced exploitation algorithms, • Perform troubleshooting, bug fixes, and maintenance of existing and new code to ensure stability and robustnessRequired Qualifications:, • Bachelor's degree or Master's degree in Computer Science, Electrical and Computer Engineering, or related field, • Proficiency in Python, • Experience with deep learning libraries (PyTorch, TensorFlow, etc.), • Strong background in both classical and modern (deep learning) machine learning, including model selection, architecting, training, validation, testing, and deployment, • Machine learning experience using visual data, • Understanding of a variety of machine learning tasks, e.g. Object Detection, Segmentation, Re-Identification, Tracking, Pose, Super Resolution, Natural Language Processing, • A high level of comfort with academic literature and the ability to adapt research products to solve real-world problems, • Due to contractual requirements, only US Citizens will be considered for this position, • If not already cleared TS/SCI, willingness and ability to apply for and maintain a TS/SCI security clearance, • Some travel is required, typically 5-25%, • Willingness to work 2-5 days a week on-site in a National Capital Region area government office, with the remainder of time in Kitware's officePreferred Qualifications:, • Active SECRET, TS, or TS/SCI security clearance, • Experience curating quality, real-world datasets for training deep learning models

Job Description Company Overview Promise modernizes how government agencies and utilities support people in financial difficulty. We build technology that makes it simple for residents to receive benefits, engage with assistance programs, set up flexible payment plans, and stay on track—while helping agencies increase efficiency, recover revenue, and deliver services with dignity. Our mission is to transform public systems so they work better for everyone, especially the most vulnerable. Our team includes experts from companies like Palantir, Google, Stripe , and esteemed government leaders. We work hard and believe deeply in what we do. We're looking for excellent people to build innovative, resilient technology. Backed by over $50 million in funding from top investors – such as Reid Hoffman, Howard Schultz, Michael Seibel, Y Combinator, 8VC, The General Partnership, First Round Capital, Kapor Capital, XYZ Ventures, and Bronze Investments – Promise has been recognized as one of Fast Company's "World's Most Innovative Companies of 2022,” “Forbes Next Billion-Dollar Startups 2024,” and Y Combinator’s #1 GovTech startup. About the Role At Promise, we’re harnessing AI to make government services more accessible, efficient, and human-centered. As a Data Scientist (AI), you’ll experiment with and apply cutting-edge AI—from traditional ML models to the latest LLMs—to power applications that help families access essential services with dignity. You’ll work across domains like OCR, document understanding, and classification, while also building generalist models that improve efficiency and reduce manual operations. This role blends research and application: sourcing from leading vendors and open-source projects, fine-tuning where needed, and deploying models into production systems that directly impact millions of lives. What You’ll Do * Experiment & build: Train, fine-tune, and evaluate ML models and LLMs for real-world government use cases. * Apply AI in the field: Tackle challenges like OCR, document parsing, and classification to streamline services. * Bridge research and impact: Source, adapt, and operationalize models from both open-source and vendor ecosystems. * Improve efficiency: Enhance automation, reduce manual processes, and boost system performance across the platform. * Shape the future: Push forward scalable, ethical AI solutions that redefine how people access public support. What Will Help You Succeed * Experience: 5+ years in machine learning and statistical analysis; 1+ year working directly with deep learning or LLMs. * Technical expertise: Hands-on experience with model training, fine-tuning, and validation for classification/regression tasks (ROC AUC, Precision, Recall, F1). * Tools of the trade: Proficiency with frameworks like PyTorch, MLFlow, LightGBM, or similar. * Mindset: Detail-oriented, rigorous, and adaptable—comfortable navigating a high-impact, evolving environment. * Mission alignment: Passion for Promise’s work and a commitment to building ethical, transparent AI solutions. * Bonus: Experience in applied AI for fintech, govtech, or other regulated industries. Who Thrives at PromiseYou’ll love it here if: * You are energized by big, complex challenges and the opportunity to solve them. * You want your work to have a real, measurable impact on people’s lives. * You take ownership and run toward problems, not away from them. * You value clear, candid, and constructive communication. Promise is not for you if: * You prefer hierarchy and rigid structures. We operate with freedom and responsibility. * You are uncomfortable with change. We move fast, adapt often, and expect agility. * You want a typical corporate culture. We are mission-driven, ambitious, and direct. * You believe efficiency means “doing less.” We believe efficiency means doing better. How We Support Our People * 100% paid health coverage * Generous PTO and sick leave * Lunch, snacks, and coffee provided * Company retreats * Opportunities to travel and see the impact of your work * Hybrid work: we deeply value in-person collaboration and are in-office at least 3 days a week, but are flexible on working from home Promise is an equal opportunity employer and does not discriminate against any applicant or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, genetic information, age, or military or veteran status. Additionally, the Company complies with applicable state and local laws governing non-discrimination in employment in every jurisdiction in which it operates. Promise is committed to promoting diversity and inclusion in the workplace. We also provide reasonable accommodations to qualified individuals with disabilities, pregnant individuals, and those with sincerely held religious beliefs, in accordance with applicable laws. To request a reasonable accommodation, please email . Promise engages in US government contracts and restricts hiring to US persons, which includes US citizens and permanent residents (e.g., Green Card holders). Additionally, candidates must reside in the US. Compensation Range: $150K - $215K

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. This position is ideal for an individual who thrives on building advanced perception systems that enable autonomous aircraft to operate effectively in complex and contested environments. A successful candidate will be skilled in developing real-time object detection, sensor fusion, and state estimation algorithms using data from diverse mission sensors such as EO/IR cameras, radars, and IMUs. The role requires strong algorithmic thinking, deep familiarity with airborne sensing systems, and the ability to deliver performant software in simulation and real-world conditions. Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Perception Engineers are instrumental in creating the situational awareness that underpins autonomy, ensuring our systems understand and respond to the operational environment with speed, precision, and resilience.What you'll do: • Develop advanced perception algorithms — Design and implement robust algorithms for object detection, classification, and multi-target tracking across diverse sensor modalities., • Implement sensor fusion frameworks — Integrate data from vision systems, radars, and other mission sensors using probabilistic and deterministic fusion techniques to generate accurate situational awareness., • Develop state estimation capabilities — Design and refine algorithms for localization and pose estimation using IMU, GPS, vision, and other onboard sensing inputs to enable stable and accurate navigation., • Analyze and utilize sensor ICDs — Interpret interface control documents (ICDs) and technical specifications for aircraft-mounted sensors to ensure correct data handling, interpretation, and synchronization., • Optimize perception performance — Tune and evaluate perception pipelines for performance, robustness, and real-time efficiency in both simulation and real-world environments., • Support autonomy integration — Work closely with autonomy, systems, and integration teams to interface perception outputs with planning, behaviors, and decision-making modules., • Validate in simulated and operational settings — Leverage synthetic data, simulation environments, and field testing to validate algorithm accuracy and mission readiness., • Collaborate with hardware and sensor teams — Ensure seamless integration of perception algorithms with onboard compute platforms and diverse sensor payloads., • Drive innovation in airborne sensing — Contribute novel ideas and state-of-the-art techniques to advance real-time perception capabilities for unmanned aircraft operating in complex, GPS-denied, or contested environments., • Travel Requirement – Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).Required Qualifications:, • BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience, • Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience., • Background in implementing algorithms such as Kalman Filters, multi-target tracking, or deep learning-based detection models., • Familiarity with fusing data from radar, EO/IR cameras, or other sensors using probabilistic or rule-based approaches., • Familiarity with SLAM, visual-inertial odometry, or sensor-fused localization approaches in real-time applications., • Ability to interpret and work with Interface Control Documents (ICDs) and hardware integration specs., • Proficiency with version control, debugging, and test-driven development in cross-functional teams., • Ability to obtain a SECRET clearance.Preferred Qualifications:, • Hands-on integration or algorithm development with airborne sensing systems., • Experience with ML frameworks such as PyTorch or Tensorflow, particularly for vision-based object detection or classification tasks., • Experience deploying perception software on SWaP-constrained platforms., • Familiarity with validating perception systems during flight test events or operational environments., • Understanding of sensing challenges in denied or degraded conditions. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Location: Cambridge, MA (Eastern Time / UTC -4) Relocation package available Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on behalf of a fast-growing AI startup recognized as a Top 10 GenAI company by GTM Capital, founded by MIT CSAIL researchers. We are seeking a Staff / Principal ML Ops Engineer to lead the design, implementation, and scaling of the companys ML infrastructure and production AI systems. This is a high-impact, architecture-defining role where youll work across the entire model lifecycletraining, evaluation, deployment, observability, and continuous optimization. You will partner closely with AI researchers, GPU systems engineers, backend teams, and product stakeholders to ensure the companys large-scale AI systems are robust, efficient, automated, and production-grade. This role is ideal for someone who has already built and owned ML platforms at scale and can drive strategy as well as hands-on execution. What Youll Do • Architect, build, and scale the end-to-end ML Ops pipeline, including training, fine-tuning, evaluation, rollout, and monitoring., • Design reliable infrastructure for model deployment, versioning, reproducibility, and orchestration across cloud and on-prem GPU clusters., • Optimize compute usage across distributed systems (Kubernetes, autoscaling, caching, GPU allocation, checkpointing workflows)., • Lead the implementation of observability for ML systems (monitor drift, performance, throughput, reliability, cost)., • Build automated workflows for dataset curation, labeling, feature pipelines, evaluation, and CI/CD for ML models., • Collaborate with researchers to productionize models and accelerate training/inference pipelines., • Establish ML Ops best practices, internal standards, and cross-team tooling., • Deep hands-on experience designing and operating production ML systems at scale (Staff/Principal-level expected)., • Strong background in ML Ops, distributed systems, and cloud infrastructure (AWS, GCP, or Azure)., • Proficiency with Python and familiarity with TypeScript or Go for platform integration., • Expertise in ML frameworks: PyTorch, Transformers, vLLM, Llama-factory, Megatron-LM, CUDA / GPU acceleration (practical understanding), • Strong experience with containerization and orchestration (Docker, Kubernetes, Helm, autoscaling)., • Deep understanding of ML lifecycle workflows: training, fine-tuning, evaluation, inference, model registries., • Experience deploying and operating LLMs and generative models in production at enterprise scale., • Familiarity with DevOps, CI/CD, automated deployment pipelines, and infrastructure-as-code., • Experience optimizing GPU clusters, scheduling, and distributed training frameworks., • Prior startup experience or comfort operating with ambiguity and high ownership., • Research pedigree: MIT CSAIL founders recognized for breakthrough AI and systems contributions., • Customer impact: Deploy AI solutions powering Fortune 500 clients., • Industry momentum: Lab alumni have led high-value acquisitions (MosaicML Databricks, Run:AI Nvidia, W&B CoreWeave)., • Funding & growth: Oversubscribed seed round, next funding in 2026., • Career growth & influence: Lead AI initiatives, optimize pipelines, and directly impact production AI systems at scale., • Culture & autonomy: Own critical systems while collaborating with world-class engineers., • Competitive salary & equity options, • Sign-on bonus, • Health, Dental, and Vision

Job Description Code Metal is redefining code translation for mission-critical industries. We build code-to-code translation platforms that help commercial and defense partners across AI, advanced signal processing and HPC move quickly and reliably from algorithm to silicon. Our platform accelerates deployment of performance-critical AI and Signal-Processing workloads to a host of compute platforms including GPUs and domain specific accelerator ASICs. We are hiring a Principal-level Technical Product Manager for GPUs and AI Accelerators, who will be a critical part of defining a new programmability paradigm for our customers who build GPUs and AI Accelerators. The Role This is a leadership role that exists to produce a clear outcome: Code Metal has a clear product roadmap for supporting accelerated development and deployment of AI, Image Processing and Signal Processing applications on the most commonly used GPUs (edge or data-center) and AI accelerator hardware. You will work directly with customers, engineers, and growth leaders to identify source languages, target languages and hardware target platforms for applying Code Metal’s verified code translation technology. Success is measured by clarity, and time-to-impact. Responsibilities: • Own product strategy and roadmap for code translation pipelines focused on programmability of GPUs and AI accelerator platforms., • Define and prioritize the GPUs and variants (NPU, Vector-Processors, IPU, AI accelerators) to target for accelerated deployment, • Engage directly with commercial and defense customers to understand how they evaluate, adopt, accredit, and scale new technology, • Combine customer and end-user needs with technical feasibility to shape functional specifications, user stories, and success metrics, • 5+ years of experience in product management, technical product leadership, or adjacent roles in the area of GPUs and AI accelerators, • Experience with common programming environments for GPUs and HPC (CUDA, ROCm, OpenCL), • Experience with AI frameworks (PyTorch, OpenCV) and operator collections (GGML, Torch-ATen etc.), • Excellent communication and cross-functional collaboration skills, • Strong product discovery skills including customer interviewing and problem framing, • Pay depends on experience, but we strive to be at the upper end of the salary range, • Health care plan with 100% premium coverage, including medical, dental, and vision., • 401k with 5% matching., • Paid Time Off (Uncapped Vacation, plus Sick & Public Holidays)., • Flexible hybrid or remote work arrangement., • Relocation assistance for qualifying employees.

Job Description Capital Technology Group provides expert consulting services software development, digital transformation, human-centered design, data analytics and visualization, and cybersecurity. Our multidisciplinary teams use agile methodologies to rapidly and incrementally deliver value in close collaboration with our clients. For over a decade, we have been trusted by both federal and commercial clients to solve complex, mission-critical business challenges. The quality of our work has been recognized by our partners and peers through our inclusion in the Digital Services Coalition, a group of forward- thinking firms recognized for excellence in delivering IT services. Description Capital Technology Group (CTG) is on a mission to modernize and innovate the way the federal government delivers software. We are passionate about our work, dedicated to our clients, and committed to a culture of continuous learning and growth. For this role specifically, we are seeking individuals to help support high-impact, civic tech within the federal government. As an integral part of the program, the Senior AI/ML Engineer leads the team in evaluating new or emerging technologies using prototypes and/or proof of concepts, analyzes and communicates the benefits and risks in implementing solutions using the new technologies, and lead teams to support the adoption of new technologies across the enterprise. The Lead AI/ML Engineer will also provide technical leadership by supervising and mentoring junior IT specialists. Client Requirements: applicants MUST BE US Citizens and be able to obtain Public Trust clearance Responsibilities • Leads the team in evaluating new or emerging technologies using prototypes and/or proof of concepts, • Analyzes and communicates the benefits and risks in implementing solutions using the new technologies, • Shall have the ability to perform as a developer, operations, and security engineer in cloud environments, • Lead teams to support the adoption of new technologies across the enterprise, • Provides technical leadership by supervising and mentoring junior IT specialistsRequirements, • Bachelors Degree, • 7-10 years of relevant experience, • At least 3 years of experience deploying production enterprise applications in AWS, • At least 2 years of experience deploying production enterprise applications with an AI/ML component, • Strong proficiency in Python, • Experience with machine learning frameworks such as TensorFlow or PyTorch, • Experience with machine learning services such as Bedrock, SageMaker, Hugging Face, Weights & Biases, or others, • Solid data manipulation and analysis skills using pandas, • Experience presenting and defending test or experiment results (matplotlib), • Experience working with cloud platforms, with AWS preferred, • Must be able to get up-to-speed quickly on new projects and technologies, • Strong communication and problem-solving skills We are committed to offering a competitive salary for this position, with an estimated range of $150k to $200k annually. Please note that this range is intended to provide a general idea of what to expect; however, the final offer may vary based on experience, skills, and other factors. The stated range is not a guarantee and is subject to change. Full Time Employee Benefits • Remote Work (Hybrid roles will be specified in the job post), • Competitive Compensation Package, • Medical, Dental, and Vision, • Life Insurance, Short/Long Term Disability, • Employee Assistance Program, • 401(k) with 4% matching, • Liberal PTO vacation policy, • Generous Annual Continuing Education, • Annual Wellness Budget Capital Technology Group is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Job DescriptionSalary: $165,000.00 - $195,000.00 negotiable This position requires an ACTIVE DoD security clearance. Applicants who do not currently hold an active clearance will not be considered. About Us: PMAT is an innovative small business founded with a passion for developing forward-leaning solutions from exceptional people that increase the mission's capability. We focus on designing and building impactful digital solutions that utilize modern cloud, data, and software concepts. Our passion is working on complex and progressive challenges such as edge platform computing, containerizing legacy platforms, distributed data platforms, or heterogeneous data analysis. We recruit, retain, and foster a team motivated to pursue passions, investigate new ways of doing things, and embody an innovative and entrepreneurial spirit. We believe in being curious about every element of a problem and experiment relentlessly. We foster continuous learning in an environment that encourages positive collaboration and expands our capabilities. We tap into collective intelligence, acknowledging that the most brilliant people may not be in the room. Above all else, we believe that delivering and demonstrating is more potent than a sheet of paper. We are passionate about mission-centric design and delivering effective capabilities to and for the warfighter. Whether youre an experienced engineer or just beginning your career, youll work alongside experts who are committed to solving mission-critical problems. If youre passionate about using your skills to make a real difference, apply today and become part of a team thats shaping the future of defense technology! About the Role: PMAT is seeking a Senior Machine Learning Engineer to design, develop, and implement advanced machine learning models and algorithms in support of naval applications. This role requires deep technical expertise in modern machine learning methods, distributed systems, cloud-native development, and software engineering best practices. The Senior ML Engineer will collaborate with multidisciplinary teams to deliver mission-focused AI solutions that integrate into operational Navy environments. Responsibilities: • Design, develop, and implement machine learning models and algorithms for naval applications., • Develop and deploy algorithms, mathematical models, and machine learning models into real-world operational environments., • Perform data preprocessing, feature engineering, model evaluation, and validation., • Collaborate with engineers, data scientists, and mission stakeholders to align ML solutions with operational requirements., • Develop cloud-native ML pipelines using AWS, Azure, Docker, Kubernetes, or equivalent platforms., • Implement ML solutions using frameworks such as TensorFlow, PyTorch, and scikit-learn., • Contribute to distributed computing and parallel processing approaches to optimize ML model performance., • Participate in CI/CD pipeline development, automation, and DevSecOps workflows., • Apply cybersecurity principles in the design and deployment of machine learning systems., • Provide documentation, technical reports, and engineering artifacts consistent with PMAT and government standards., • Stay current with advancements in machine learning, data science, and emerging technologies relevant to naval and DoD applications. Required Skills and Experience: • Experience as a data scientist, data engineer, geospatial engineer, machine learning engineer, or software engineer., • Proven experience developing and deploying algorithms, mathematical models, or machine learning models in real-world applications., • Strong programming skills in Python., • Familiarity with cloud platforms (e.g., AWS, Azure) or containerization technologies (e.g., Docker, Kubernetes)., • Familiarity with software engineering best practices, including Git., • Strong programming skills in Java, C++, Go, or Rust., • Strong analytical, problem-solving, and communication skills., • Ability to work effectively in a collaborative team environment., • Ability to safely carry tools, equipment, and materials aboard ship, including ascending and descending shipboard ladders(stairwells) and navigating confined spaces while maintaining required points of contact. Tools and equipment will weigh no more than 50 lbs., • Ability to perform required work aboard Navy vessels and in shipboard environments, including navigating narrow passageways, ascending and descending ladders (stairwells), working on elevated platforms, and operating in variable sea conditions., • Ability to perform activities on a recurring basis during shipboard operations or testing evolutions., • Ability to comply with Navy safety requirements and wear required personal protective equipment (PPE)., • Candidates should be prepared to complete a coding exercise as part of the interview process. Preferred Skills and Experience: • Experience with distributed computing and parallel processing., • Experience with CI/CD pipelines and automation tools (GitHub Actions, GitLab CI, Jenkins)., • Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn., • Experience with cloud-native architecture and software API design., • Experience integrating machine learning into operational DoD systems or edge computing environments., • Familiarity with DoD AI strategies, MLOps, or data engineering in secure environments., • Previous experience supporting government agencies or military organizations. (NAVWAR, NIWC Pacific, or other Navy C2/ISR programs strongly preferred). Education and Certification Requirements: • Bachelor of Science in Computer Science, Data Science, Geography, Math, Machine Learning, or Statistics, OR Equivalent years of relevant experience in lieu of a degree, • Additional certifications in cloud, data engineering, GIS, or cybersecurity are a plus Citizenship and Clearance Requirements: • US Citizenship, • No dual citizenship, • Active DoD TS clearance required, • Active DOD TS SCI preferred Location: • On site, NAVWAR WASHINGTON LIASION OFFICE (WLO) AND PENTAGON Travel: • Travel required up to 15% Work Environment:PMAT offices as needed. In some cases, work in a government facility may be required. Travel may be required for customer engagement, team coordination, and mission execution. PMAT is an equal-opportunity employer. We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any other basis covered under applicable law. #CJ

Job Description About the Team: The Electronic Warfare and Novel Capabilities Group (EWNC) develops and delivers advanced signal processing algorithms and prototype systems for next-generation radar and electronic warfare technologies. EWNC fosters a culture of innovation and collaboration. We investigate cutting edge technologies and interface with engineers across sectors and divisions at STR and researchers at academic institutions and industry partners to develop practical and effective solutions to RF sensing and counter-sensing challenges. If you're seeking an opportunity to apply your deep technical knowledge and creativity to make a lasting impact, we invite you to join us. The Role: As a Senior Algorithm & Signal Processing Researcher, you'll have the opportunity to develop state-of-the-art algorithms and techniques for sense making and sensor decision making, from signal detection and classification, to electronic support measures, attack, and protection, to cognitive EW and more. What You Will Do: • Design and apply cutting-edge signal processing and machine learning techniques to solve complex radar and RF sensing and counter-sensing challenges, • Design and implement models and simulations for advanced RF systems, • Lead small teams and projects, • Support business development and proposal writing efforts, • This position requires the ability to obtain a Top Secret security clearance, for which U.S. citizenship is needed by U.S. Government, • BS, MS, or PhD in Electrical Engineering, Applied Mathematics, Physics, or related technical discipline, • 5+ years of relevant work experience, • Experience in two or more of the following areas:, • RF/radar signal processing, optimization, waveform design, electronic warfare, machine learning, adaptive signal processing, AI/ML algorithm development, algorithm development, test & evaluation, model & simulation, or systems engineering, test engineering, radar modelling, or RF systems prototyping, • Proficiency in one or more scientific or mathematical programming languages, such as MATLAB, Python, and C/C++, • Active Security Clearance, • Experience with:, • RF technologies in the defense sector, particularly for sensing and electronic warfare applications including electronic attack, electronic protection, cognitive EW, and advanced electronic support measures techniques and algorithms, • Machine learning tasks such as natural language processing, image recognition, semantic segmentation, reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network methods, and tools such as PyTorch, Ray, TensorFlow/board, and MLflow, • Interacting with decision-makers and customers to translate mission needs into an end-to-end analytical solution, • Ability to apply novel, innovative and interdisciplinary approaches to challenging engineering problems The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.

Job Description Location: Cambridge, MA (Eastern Time / UTC -4) Relocation package available Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on behalf of a fast-growing AI startup recognized as a Top 10 GenAI company by GTM Capital, founded by MIT CSAIL researchers. We are seeking a Staff / Principal ML Ops Engineer to lead the design, implementation, and scaling of the companys ML infrastructure and production AI systems. This is a high-impact, architecture-defining role where youll work across the entire model lifecycletraining, evaluation, deployment, observability, and continuous optimization. You will partner closely with AI researchers, GPU systems engineers, backend teams, and product stakeholders to ensure the companys large-scale AI systems are robust, efficient, automated, and production-grade. This role is ideal for someone who has already built and owned ML platforms at scale and can drive strategy as well as hands-on execution. What Youll Do • Architect, build, and scale the end-to-end ML Ops pipeline, including training, fine-tuning, evaluation, rollout, and monitoring., • Design reliable infrastructure for model deployment, versioning, reproducibility, and orchestration across cloud and on-prem GPU clusters., • Optimize compute usage across distributed systems (Kubernetes, autoscaling, caching, GPU allocation, checkpointing workflows)., • Lead the implementation of observability for ML systems (monitor drift, performance, throughput, reliability, cost)., • Build automated workflows for dataset curation, labeling, feature pipelines, evaluation, and CI/CD for ML models., • Collaborate with researchers to productionize models and accelerate training/inference pipelines., • Establish ML Ops best practices, internal standards, and cross-team tooling., • Deep hands-on experience designing and operating production ML systems at scale (Staff/Principal-level expected)., • Strong background in ML Ops, distributed systems, and cloud infrastructure (AWS, GCP, or Azure)., • Proficiency with Python and familiarity with TypeScript or Go for platform integration., • Expertise in ML frameworks: PyTorch, Transformers, vLLM, Llama-factory, Megatron-LM, CUDA / GPU acceleration (practical understanding), • Strong experience with containerization and orchestration (Docker, Kubernetes, Helm, autoscaling)., • Deep understanding of ML lifecycle workflows: training, fine-tuning, evaluation, inference, model registries., • Experience deploying and operating LLMs and generative models in production at enterprise scale., • Familiarity with DevOps, CI/CD, automated deployment pipelines, and infrastructure-as-code., • Experience optimizing GPU clusters, scheduling, and distributed training frameworks., • Prior startup experience or comfort operating with ambiguity and high ownership., • Research pedigree: MIT CSAIL founders recognized for breakthrough AI and systems contributions., • Customer impact: Deploy AI solutions powering Fortune 500 clients., • Industry momentum: Lab alumni have led high-value acquisitions (MosaicML Databricks, Run:AI Nvidia, W&B CoreWeave)., • Funding & growth: Oversubscribed seed round, next funding in 2026., • Career growth & influence: Lead AI initiatives, optimize pipelines, and directly impact production AI systems at scale., • Culture & autonomy: Own critical systems while collaborating with world-class engineers., • Competitive salary & equity options, • Sign-on bonus, • Health, Dental, and Vision

Job DescriptionCompany Description When you join Turnitin, you'll be welcomed into a company that is a recognized innovator in the global education space. For over 25 years, Turnitin has partnered with educational institutions to promote honesty, consistency, and fairness across all subject areas and assessment types. Over 21,000 academic institutions, publishers, and corporations use our services: Feedback Studio, Originality, Gradescope, ExamSoft, Similarity, and iThenticate. Experience a remote-centric culture that empowers you to work with purpose and accountability in a way that best suits you, supported by a comprehensive package that prioritizes your overall well-being. Our diverse community of colleagues are all unified by a shared desire to make a difference in education. Turnitin is a global organization with team members in over 35 countries including the United States, Mexico, United Kingdom, Australia, Japan, India, and the Philippines. Turnitin, LLC is an equal opportunity employer- vets/disabled. Job Description Turnitin is a recognized innovator in the global education space. For more than 20 years, Turnitin has partnered with educational institutions to promote honesty, consistency, and fairness across all subject areas and assessment types. Over 16,000 academic institutions, publishers, and corporations use our products and services. At Turnitin, working remotely is our default. We respect local cultures, embrace diversity, and we respect personal choice. Turnitin is headquartered in Oakland, with offices in Dallas, Pittsburgh, Newcastle (UK), Stockholm (Sweden), Cologne (Germany), Amsterdam (Netherlands). Our diverse community of colleagues is unified by a shared desire to make a difference in education. Our remote-first culture allows for every employee to get the same access to learning and career opportunities, and it enables us to think differently about where and how we recruit talent from all kinds of diverse backgrounds. Machine Learning is integral to the continued success of our company. Our product roadmap is exciting and ambitious. You will join a global team of curious, helpful, and independent scientists and engineers, united by a commitment to deliver cutting-edge, well-engineered Machine Learning systems. You will work closely with product and engineering teams across Turnitin to integrate Machine Learning into a broad suite of learning, teaching and integrity products. We are in a unique position to deliver Machine Learning used by hundreds of thousands of instructors teaching millions of students around the world. Your contributions will have global reach and scale. Billions of papers have been submitted to the Turnitin platform, and hundreds of millions of answers have been graded on the Gradescope and Examsoft platforms. Machine Learning powers our AI Writing detection system, gives automated feedback on student writing, investigates authorship of student writing, revolutionizes the creation and grading of assessments, and plays a critical role in many back-end processes. Responsibilities and Requirements: We expect Senior Machine Learning Scientists to be versatile and have a well-balanced set of skills. You will focus on model training and maintenance with significant capacity for research (developing novel model architectures), dataset construction, and model hardening (preparing the model and code for production pipelines). Day-to-day, your responsibilities are to: • Work with subject matter experts and product owners to determine what questions should be asked and what questions can be answered., • Work with subject matter experts to curate, generate, and annotate data, and create optimal datasets following responsible data collection and model maintenance practices., • Answer questions and make trainable datasets from raw data, using efficient SQL queries and scripting languages, visualizing when necessary., • Develop and tune Machine Learning models, following best practices to select datasets, architectures, and model parameters., • Utilize, adopt, and fine-tune Language Models, including third-party LLMs (through prompt engineering and orchestration) and locally hosted LMs., • Stay current in the field - read research papers, experiment with new architectures and LLMs, and share your findings., • Optimize models for scaled production usage., • Communicate insights, as well as the behavior and limitations of models, to peers, subject matter experts, and product owners., • Write clean, efficient, and modular code, with automated tests and appropriate documentation., • Stay up to date with technology, make good technological choices, and be able to explain them to the organization.Qualifications Required Qualifications: • Experience working with text data to build Deep Learning and ML models, both supervised and unsupervised. Experience with deep learning in other modalities such as vision and speech would be a strong bonus., • A strong understanding of the math and theory behind machine learning and deep learning., • Software engineering background with at least 8 years of experience (we use Python, SQL, Unix-based systems, git, and github for collaboration and review)., • Machine / Deep Learning development skills, including experiment tracking (we use AWS SageMaker, Hugging Face, transformers, PyTorch, scikit-learn, Jupyter, Weights & Biases)., • An understanding of Language Models, using and training / fine-tuning and a familiarity with industry-standard LM families., • Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or related field, with relevant industry experience, or outstanding previous achievements in this role. A Computer Science background is required as opposed to statistics or pure mathematics. We’re an applied science group leaning towards deep learning and therefore software development proficiency is a prerequisite., • Excellent communication and teamwork skills., • Familiarity in coding for at-scale production, ranging from best practices to building back-end API services or stand-alone libraries., • Essential dev-ops skills (we use Docker, AWS EC2/Batch/Lambda)., • Familiarity in building front-ends (LLMs or more standard React, Javascript, Flask) for simple demos, POCs and prototypes., • Experience with advanced prompting, fine-tuning or training an LLM, open-source or cloud, using industry accepted platforms (such as mosaic.ai or stochastic.ai)., • Showcase previous work (e.g. via a website, presentation, open source code). Additional Information The expected annual base salary range for this position is: $112,125/year to $186,875/year. This position is bonus eligible / commission-based. As a Remote-First company, actual compensation will be provided in writing at the time of offer, if extended, and is determined by work location and a range of other relevant factors, including but not limited to: experience, skills, degrees, licensures, certifications, and other job-related factors. Internal equity, market and organizational factors are also considered. Total Rewards @ Turnitin Turnitin maintains a Total Rewards package that is competitive within the local job market. People tend to think about their Total Rewards monetarily — solely as regular pay plus bonus or commission. This is what they earn in exchange for what they do. However, Turnitin delivers more than just these components. Beyond the intrinsic rewards of unleashing your potential to positively impact global education, and thriving in an organization that is free of politics and full of humble, inclusive and collaborative teammates, the extrinsic rewards at Turnitin include generous time off and health and wellness programs that offer choice and flexibility and provide a safety net for the challenges that life presents from time to time. Experience a remote-centric culture that empowers you to work with purpose and accountability in a way that best suits you, supported by a comprehensive package that prioritizes your overall well-being. Our Mission is to ensure the integrity of global education and meaningfully improve learning outcomes. Our Values underpin everything we do. • Customer Centric - We realize our mission to ensure integrity and improve learning outcomes by putting educators and learners at the center of everything we do., • Passion for Learning - We seek out teammates that are constantly learning and growing and build a workplace which enables them to do so., • Integrity - We believe integrity is the heartbeat of Turnitin. It shapes our products, the way we treat each other, and how we work with our customers and vendors., • Action & Ownership - We have a bias toward action and empower teammates to make decisions., • One Team - We strive to break down silos, collaborate effectively, and celebrate each other’s successes., • Remote First Culture, • Health Care Coverage*, • Education Reimbursement*, • Competitive Paid Time Off, • 4 Self-Care Days per year, • National Holidays*, • 2 Founder Days + Juneteenth Observed, • Paid Volunteer Time*, • Charitable contribution match*, • Monthly Wellness or Home Office Reimbursement*, • Access to Modern Health (mental health platform), • Parental Leave*, • Retirement Plan with match/contribution*, • varies by country Seeing Beyond the Job Ad At Turnitin, we recognize it’s unrealistic for candidates to fulfill 100% of the criteria in a job ad. We encourage you to apply if you meet the majority of the requirements because we know that skills evolve over time. If you’re willing to learn and evolve alongside us, join our team! Turnitin, LLC is committed to the policy that all persons have equal access to its programs, facilities and employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Description About Blue Water Thinking Guided by our principles of value generation, continuous innovation, customer-centricity, and vested collaboration, Blue Water Thinking proudly supports our Federal clients in achieving their Agency goals. Founded by a decorated twenty-eight year Veteran of the United States Army, Blue Water Thinking understands and supports the mission of our Nation's war fighters, Veterans, their families and caretakers. Leveraging our executive team's military experience and private and public sector consulting expertise, Blue Water Thinking takes an integrated "one-team" approach and brings to bear best-fit solutions, thought leadership, and grit to meet our client's transformational needs. Fueled by our values of integrity, respect, professionalism, stewardship and customer service, the Blue Water Thinking team understands the power of the human connection, collaboration, humility and loyalty to one another, our clients and industry partners. Lastly, our formula for success is simple: Build something good, take care of our people, keep our clients satisfied, nurture our work ethic and reputation, build long-lasting partnerships, enjoy what we do and give back as much as possible. Job Description: Blue Water Thinking is seeking an experienced and dedicated Lead Data Scientist to join our team, supporting the Integrated Healthcare Transformation (IHT) initiative at the Department of Veterans Affairs. The primary responsibility of this role to provide the necessary capabilities and industry expertise in advanced analytics, predictive modeling, and machine learning initiatives supporting clinical decision-making and operational optimization. Responsibilities: • Serves as technical lead for advanced analytics, predictive modeling, and machine learning initiatives supporting clinical decision-making and operational optimization., • Designs and validates algorithms for interoperability workflows, clinical informatics systems, and Agile integration reporting., • Ensures compliance with VA data governance, security, and privacy standards., • Present analytical outcomes to managers and stakeholders to guide business model adjustments and future planning., • Translate data into meaningful reports that support healthcare transformation goals., • Collaborate with cross-functional teams to align data strategies with program objectives., • Support predictive modeling and trend analysis to improve veteran healthcare delivery., • Master's degree in data science, computer science, health informatics, statistics, or a related quantitative field., • Minimum of 10 years of experience in data analysis or advanced analytics., • Minimum of 5 years applying machine learning and predictive modeling in healthcare or federal health IT environments., • Demonstrated expertise in supporting PI Planning, backlog analysis, velocity metrics and other Agile processes., • Demonstrated experience in interoperability standards (e.g. HL7, FHIR) and clinical terminology (SNOMED, LOINC)., • Demonstrated experience in data visualization tools, including PowerBI and Tablueau., • Demonstrated expertise in ETL processes., • Demonstrated expertise in integrating clinical informatics systems (Oracle Health, VISTA, CPRS) and validating data migration fidelity., • Demonstrated experience in programing languages (SQL, Python, R) and and frameworks (TensorFlow, PyTorch)., • Certified Health Data Analyst (CHDA), Certified ScrumMaster (CSM) or SAFe Practitioner, Healthcare Data Science or AI certifications are highly desirable, • Ph.D. in health informatics, data science, machine learning, or related discipline., • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future Salary for this position is determined by various factors, including but not limited to, location, the candidate's particular combination of knowledge, skills, competencies and experience, as well as contract specific affordability and organizational requirements. The proposed salary range for this position is outlined below. Salary range: $145,000 - $200,000 Benefits: Blue Water Thinking offers a comprehensive benefits package including health insurance (medical, dental and vision), paid time off, federal holidays, and matching 401K plan. This is a fantastic opportunity to be part of an impactful communications team, supporting the VA in its efforts to transform healthcare for veterans. If you're passionate about communications and want to contribute to a meaningful cause, we encourage you to apply! Our Commitment to Equal Employment Opportunity. Blue Water Thinking, LLC (BWT) is committed to equal employment opportunity. We recruit, employ, train, compensate, and promote without regard to race, religion, color, national origin, age, sex, disability, protected veteran status, or any other basis protected by applicable federal, state, or local law. Applying for this Job: • Resume must be submitted in word document format and must include dates in each section (experience, education, certifications...), • Candidates must fill out the below form to the best of their knowledge

Job Description Senior Manager, Commercial Analytics & Data ScienceHow you’ll make an impact: • You will build machine learning models to answer key business questions impacting strategy and marketing spend allocation, • You will perform feature engineering and contribute to our feature store, • You will lead dashboard development and lead development of enhanced visualization toolsResponsibilities: What you’ll do:, • Build advanced machine learning models to inform marketing tactics (examples: adaptive clustering, reinforcement learning, regression modeling, price elasticity modeling etc.), • Execute sophisticated quantitative analyses and descriptive modeling to answer key business questions to shape business strategy., • Use enhanced python based graphical visualizations to deliver key insights to leadership., • Research and implement novel modeling techniques to solve complex business problems., • Develop analytics databases & lead development and maintenance of automated dashboards for AB experiment results., • Develop complex SQL queries combining data from a wide variety of sources in preparation of feature engineering or to perform analysis of business questions., • Measure incrementality of paid media campaigns using matched market testing.Requirements: What you’ll need:, • Bachelor’s or Master's degree in data science, computer science, statistics, engineering, or related quantitative field., • Strong prior experience in data science, business & statistical analytics., • 7+ years of experience in related field., • Strong background in SQL & Python, R is a plus., • Experience in machine learning algorithms & libraries. Examples: CausalML/EconML, TensorFlow, PyTorch, Keras, sk-learn, seaborn, LSTM, RNN., • Experience in visualization tools. Examples: Databrick AI/BI, Rshiny, Dash, Tableau., • Familiarity with Databricks platform is a plus., • Willingness to take initiative and to follow through on projects., • Excellent time management skills with the ability to prioritize and multi-task, and work under shifting deadlines in a fast-paced environment., • Must have legal right to work in the U.S.Compensation:, • $100 to $105/hr. (W2)Job req# 1654-1

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. This position is ideal for an individual who thrives on building advanced perception systems that enable autonomous aircraft to operate effectively in complex and contested environments. A successful candidate will be skilled in developing real-time object detection, sensor fusion, and state estimation algorithms using data from diverse mission sensors such as EO/IR cameras, radars, and IMUs. The role requires strong algorithmic thinking, deep familiarity with airborne sensing systems, and the ability to deliver performant software in simulation and real-world conditions. We are seeking a skilled and motivated manager to lead technical teams and support direct projects integrating perception solutions for defense platforms. Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Perception Engineers are instrumental in creating the situational awareness that underpins autonomy, ensuring our systems understand and respond to the operational environment with speed, precision, and resilience.What you'll do: • Multidisciplinary Team Leadership – Lead teams across autonomy, integration, and testing by aligning technical efforts, resolving cross-functional challenges, and driving mission-focused execution. Balance hands-on technical oversight with performance optimization, innovation, and clear stakeholder communication., • Develop advanced perception algorithms — Design and implement robust algorithms for object detection, classification, and multi-target tracking across diverse sensor modalities., • Implement sensor fusion frameworks — Integrate data from vision systems, radars, and other mission sensors using probabilistic and deterministic fusion techniques to generate accurate situational awareness., • Develop state estimation capabilities — Design and refine algorithms for localization and pose estimation using IMU, GPS, vision, and other onboard sensing inputs to enable stable and accurate navigation., • Analyze and utilize sensor ICDs — Interpret interface control documents (ICDs) and technical specifications for aircraft-mounted sensors to ensure correct data handling, interpretation, and synchronization., • Optimize perception performance — Tune and evaluate perception pipelines for performance, robustness, and real-time efficiency in both simulation and real-world environments., • Support autonomy integration — Work closely with autonomy, systems, and integration teams to interface perception outputs with planning, behaviors, and decision-making modules., • Validate in simulated and operational settings — Leverage synthetic data, simulation environments, and field testing to validate algorithm accuracy and mission readiness., • Collaborate with hardware and sensor teams — Ensure seamless integration of perception algorithms with onboard compute platforms and diverse sensor payloads., • Drive innovation in airborne sensing — Contribute novel ideas and state-of-the-art techniques to advance real-time perception capabilities for unmanned aircraft operating in complex, GPS-denied, or contested environments., • Travel Requirement – Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).Required Qualifications:, • BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience, • Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience., • 5+ years of experience in Unmanned Systems programs in the DoD or applied R&D, • 2+ years of people leadership experience, • Background in implementing algorithms such as Kalman Filters, multi-target tracking, or deep learning-based detection models., • Familiarity with fusing data from radar, EO/IR cameras, or other sensors using probabilistic or rule-based approaches., • Familiarity with SLAM, visual-inertial odometry, or sensor-fused localization approaches in real-time applications., • Ability to interpret and work with Interface Control Documents (ICDs) and hardware integration specs., • Proficiency with version control, debugging, and test-driven development in cross-functional teams., • Ability to obtain a SECRET clearance.Preferred Qualifications:, • Hands-on integration or algorithm development with airborne sensing systems., • Experience with ML frameworks such as PyTorch or Tensorflow, particularly for vision-based object detection or classification tasks., • Experience deploying perception software on SWaP-constrained platforms., • Familiarity with validating perception systems during flight test events or operational environments., • Understanding of sensing challenges in denied or degraded conditions. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionCompany Description When you join Turnitin, you'll be welcomed into a company that is a recognized innovator in the global education space. For over 25 years, Turnitin has partnered with educational institutions to promote honesty, consistency, and fairness across all subject areas and assessment types. Over 21,000 academic institutions, publishers, and corporations use our services: Feedback Studio, Originality, Gradescope, ExamSoft, Similarity, and iThenticate. Experience a remote-centric culture that empowers you to work with purpose and accountability in a way that best suits you, supported by a comprehensive package that prioritizes your overall well-being. Our diverse community of colleagues are all unified by a shared desire to make a difference in education. Turnitin is a global organization with team members in over 35 countries including the United States, Mexico, United Kingdom, Australia, Japan, India, and the Philippines. Turnitin, LLC is an equal opportunity employer- vets/disabled. Job Description Machine Learning is integral to the continued success of our company. Our product roadmap is exciting and ambitious. You will join a global team of curious, helpful, and independent scientists and engineers, united by a commitment to deliver cutting-edge, well-engineered Machine Learning systems. You will work closely with product and engineering teams across Turnitin to integrate Machine Learning into a broad suite of learning, teaching and integrity products. We are in a unique position to deliver Machine Learning used by hundreds of thousands of instructors teaching millions of students around the world. Your contributions will have global reach and scale. Billions of papers have been submitted to the Turnitin platform, and hundreds of millions of answers have been graded on the Gradescope and Examsoft platforms. Machine Learning powers our AI Writing detection system, gives automated feedback on student writing, investigates authorship of student writing, revolutionizes the creation and grading of assessments, and plays a critical role in many back-end processes. Responsibilities and Requirements We’re an applied science group leaning towards modern Deep Learning. We expect our Senior Machine Learning Scientists to have a well-balanced set of skills, both in the Science as well as Software Engineering aspects of (Deep) Machine Learning. You will focus on developing novel and deployable ML models and solutions where no ready-made solution may be available. Therefore you need to be conversant enough with the mathematics of machine learning and deep neural networks such that you can construct novel model architectures, loss functions, training methods, training loops etc. You are also expected to keep abreast of the latest research advancements in AI and Deep Learning across modalities and apply those to your work. While we leverage ready-made training platforms, we also write our own training loops. Additionally, the models need to be directly deployable in our products, therefore, production level coding and software engineering proficiency is required. You may train large models (up to 100s of billions of parameters) therefore, ability to train on multiple GPUs and nodes and knowledge of the latest model training and inferencing advancements is necessary. Next, the models must perform well in production not only in terms of accuracy but also compute-cost. Delivering such software requires a sufficiently deep Computer Science background. Dataset exploration, generation (synthetic), design, construction and analysis, are a routine part of the job and may occupy a significant fraction of your time. Also, datasets can be large (billions of samples), therefore the ability to write parallel and efficient pipelines is a necessary skill. You will also be involved in code & model maintenance, code hardening (preparing the model and code for production pipelines), developing and staging demos and presenting your work within the company as well as via publications in peer reviewed venues (preferably A/A+ rated). Day-to-day, your responsibilities are to: • Research and develop production grade Machine Learning models as described above. Optimize models for scaled production usage., • Work with colleagues in the AI team, other Engineering teams, subject matter experts, Product Management, Marketing, Sales and Customer support to explore ongoing product issues, challenges and opportunities and then recommend innovative ML/AI based solutions., • Help out with ad-hoc one-off tasks as a team player within the AI team., • Work with subject matter experts to curate and generate optimal datasets following responsible data collection and model maintenance practices. Explore and access SQL, no-SQL and web data and write efficient parallel pipelines. Review and design datasets to ensure data quality., • Investigate weaknesses of models in production and work on pragmatic solutions., • Utilize, adopt, and fine-tune off the shelf models, including LLMs exposed via API (through prompt engineering and agents) and locally hosting LMs and other foundation models., • Stay current in the field - read research papers, experiment with new architectures and LLMs, and share your findings., • Write clean, efficient, and modular code with automated tests and appropriate documentation., • Stay up to date with technology and platforms, make good technological choices, and be able to explain them to the organization., • Work with downstream teams to productionize your work and ensure that it makes into a product release., • Communicate insights, as well as the behavior and limitations of models, to peers, subject matter experts, and product owners., • Present and publish your work.Qualifications Required Qualifications: • Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or related field or outstanding previous achievements demonstrating excellence in Deep Machine Learning, Computer Science and Software Engineering., • At least 5 years of industry experience in Machine / Deep Learning (we use the python ecosystem for ML), Computer Science and Software Engineering., • A strong understanding of the math and theory behind machine learning and deep learning is a prerequisite., • Academic publications in peer reviewed conferences or journals related to Machine Learning - preferably A/A+ rated such as NeurIPS, ICML, ICLR, AAAI, TMLR, JMLR, IJCAI, ICANN, KDD, ACL, EMNLP, NAACL, COLING, CVPR, ICCV, ECCV, IEEE etc., • Machine / Deep Learning development skills, including popular platforms (we use AWS SageMaker, Hugging Face, Transformers, PyTorch, PyTorch Lightning, Ray, scikit-learn, Jupyter, Weights & Biases etc.)., • An understanding of Language Models, using and training / fine-tuning and a familiarity with industry-standard LM families., • Excellent communication and teamwork skills., • We’re an applied science group, therefore Software development proficiency is a requirement. Experience working with text data to build Deep Learning and ML models, both supervised and unsupervised. Experience with deep learning in other modalities such as vision and speech would be a strong bonus., • A Computer Science educational background is preferred as opposed to statistics or pure mathematics., • Familiarity in building front-ends (Gradio, Streamlit, Dash or more standard React, Javascript, Flask) for simple demos, POCs and prototypes., • Experience with advanced prompting / agentic-systems and fine-tuning or training an LLM, using industry accepted platforms., • Showcase previous work (e.g. via a website, presentation, open source code)., • Familiarity in coding for at-scale production, ranging from best practices to building back-end API services or stand-alone libraries., • Essential dev-ops skills (we use Docker, AWS EC2/Batch/Lambda). Additional Information The expected annual base salary range for this position is: $111,000/year to $185,000/year. This position is bonus eligible / commission-based. As a Remote-First company, actual compensation will be provided in writing at the time of offer, if extended, and is determined by work location and a range of other relevant factors, including but not limited to: experience, skills, degrees, licensures, certifications, and other job-related factors. Internal equity, market and organizational factors are also considered. Total Rewards @ Turnitin Turnitin maintains a Total Rewards package that is competitive within the local job market. People tend to think about their Total Rewards monetarily — solely as regular pay plus bonus or commission. This is what they earn in exchange for what they do. However, Turnitin delivers more than just these components. Beyond the intrinsic rewards of unleashing your potential to positively impact global education, and thriving in an organization that is free of politics and full of humble, inclusive and collaborative teammates, the extrinsic rewards at Turnitin include generous time off and health and wellness programs that offer choice and flexibility and provide a safety net for the challenges that life presents from time to time. Experience a remote-centric culture that empowers you to work with purpose and accountability in a way that best suits you, supported by a comprehensive package that prioritizes your overall well-being. Our Mission is to ensure the integrity of global education and meaningfully improve learning outcomes. Our Values underpin everything we do. • Customer Centric - We realize our mission to ensure integrity and improve learning outcomes by putting educators and learners at the center of everything we do., • Passion for Learning - We seek out teammates that are constantly learning and growing and build a workplace which enables them to do so., • Integrity - We believe integrity is the heartbeat of Turnitin. It shapes our products, the way we treat each other, and how we work with our customers and vendors., • Action & Ownership - We have a bias toward action and empower teammates to make decisions., • One Team - We strive to break down silos, collaborate effectively, and celebrate each other’s successes., • Remote First Culture, • Health Care Coverage*, • Education Reimbursement*, • Competitive Paid Time Off, • 4 Self-Care Days per year, • National Holidays*, • 2 Founder Days + Juneteenth Observed, • Paid Volunteer Time*, • Charitable contribution match*, • Monthly Wellness or Home Office Reimbursement*, • Access to Modern Health (mental health platform), • Parental Leave*, • Retirement Plan with match/contribution*, • varies by country Seeing Beyond the Job Ad At Turnitin, we recognize it’s unrealistic for candidates to fulfill 100% of the criteria in a job ad. We encourage you to apply if you meet the majority of the requirements because we know that skills evolve over time. If you’re willing to learn and evolve alongside us, join our team! Turnitin, LLC is committed to the policy that all persons have equal access to its programs, facilities and employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job DescriptionCompany Description When you join Turnitin, you'll be welcomed into a company that is a recognized innovator in the global education space. For more than 25 years, Turnitin has partnered with educational institutions to promote honesty, consistency, and fairness across all subject areas and assessment types. Turnitin products are used by educational institutions and certification and licensing programs to uphold integrity and increase learning performance, and by students and professionals to do their best, original work. Experience a remote-first culture that empowers you to work with purpose and accountability in a way that best suits you, supported by a comprehensive package that prioritizes your overall well-being. Our diverse community of colleagues are all unified by a shared desire to make a difference in education. Turnitin is a global organization with team members in over 35 countries including the United States, Mexico, United Kingdom, Australia, Japan, India, and the Philippines. Job Description Machine Learning is integral to the continued success of our company. Our product roadmap is exciting and ambitious. You will join a global team of curious, helpful, and independent scientists and engineers, united by a commitment to deliver cutting-edge, well-engineered Machine Learning systems. You will work closely with product and engineering teams across Turnitin to integrate Machine Learning into a broad suite of learning, teaching and integrity products. We are in a unique position to deliver Machine Learning used by hundreds of thousands of instructors teaching millions of students around the world. Your contributions will have global reach and scale. Billions of papers have been submitted to the Turnitin platform, and hundreds of millions of answers have been graded on the Gradescope and Examsoft platforms. Machine Learning powers our AI Writing detection system, gives automated feedback on student writing, investigates authorship of student writing, revolutionizes the creation and grading of assessments, and plays a critical role in many back-end processes. Responsibilities and Requirements We’re an applied science group leaning towards modern Deep Learning. We expect our Senior Machine Learning Scientists to have a well-balanced set of skills, both in the Science as well as Software Engineering aspects of (Deep) Machine Learning. You will focus on developing novel and deployable ML models and solutions where no ready-made solution may be available. Therefore you need to be conversant enough with the mathematics of machine learning and deep neural networks such that you can construct novel model architectures, loss functions, training methods, training loops etc. You are also expected to keep abreast of the latest research advancements in AI and Deep Learning across modalities and apply those to your work. While we leverage ready-made training platforms, we also write our own training loops. Additionally, the models need to be directly deployable in our products, therefore, production level coding and software engineering proficiency is required. You may train large models (up to 100s of billions of parameters) therefore, ability to train on multiple GPUs and nodes and knowledge of the latest model training and inferencing advancements is necessary. Next, the models must perform well in production not only in terms of accuracy but also compute-cost. Delivering such software requires a sufficiently deep Computer Science background. Dataset exploration, generation (synthetic), design, construction and analysis, are a routine part of the job and may occupy a significant fraction of your time. Also, datasets can be large (billions of samples), therefore the ability to write parallel and efficient pipelines is a necessary skill. You will also be involved in developing and staging demos and presenting your work within the company as well as via publications in peer reviewed venues (preferably A/A+ rated). Day-to-day, your responsibilities are to: • Research and develop Machine Learning models as described above. Optimize models for scaled production usage., • Work with colleagues in the AI team, other Engineering teams, subject matter experts, Product Management, Marketing, Sales and Customer support to explore ongoing product issues, challenges and opportunities and then recommend innovative ML/AI based solutions., • Help out with ad-hoc one-off tasks as a team player within the AI team., • Work with subject matter experts to curate and generate optimal datasets following responsible data collection and model maintenance practices. Explore and access local datastores as well as web data and write efficient parallel pipelines. Review and design datasets to ensure data quality., • Investigate weaknesses of models in production and work on pragmatic solutions., • Modify and fine-tune off the shelf models or develop novel models. Use LLMs via API (through prompt engineering and agents) and locally hosted LLMs and other foundation models., • Stay current in the field - read research papers, experiment with new architectures and methods, and share your findings., • Write clean, efficient, and modular code with automated tests and appropriate documentation., • Stay up to date with technology and platforms, make good technological choices, and be able to explain them to the organization., • Work with downstream teams to productionize your work and ensure that it makes into a product release., • Communicate insights, as well as the behavior and limitations of models, to peers, subject matter experts, and product owners., • Present and publish your work.Qualifications, • Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or related field or outstanding previous achievements demonstrating excellence in Deep Machine Learning, Computer Science and Software Engineering., • At least 10 years of industry experience in Machine / Deep Learning (we use the python ecosystem for ML), Computer Science and Software Engineering., • A strong understanding of the math and theory behind machine learning and deep learning is a prerequisite., • Academic publications in peer reviewed conferences or journals related to Machine Learning - preferably A/A+ rated such as NeurIPS, ICML, ICLR, AAAI, TMLR, JMLR, IJCAI, ICANN, KDD, ACL, EMNLP, NAACL, COLING, CVPR, ICCV, ECCV, IEEE etc., • Machine / Deep Learning development skills, including popular platforms (we use AWS SageMaker, Hugging Face, Transformers, PyTorch, PyTorch Lightning, Ray, scikit-learn, Jupyter, Weights & Biases etc.)., • An understanding of Language Models, using and training / fine-tuning and a familiarity with industry-standard LM families., • Excellent communication and teamwork skills., • We’re an applied science group (vs fundamental research), therefore Software development proficiency is a requirement., • Experience working with text data to build Deep Learning and ML models, both supervised and unsupervised. Experience with deep learning in other modalities such as vision and speech would be a strong bonus., • A Computer Science educational background is preferred as opposed to statistics or pure mathematics., • Reinforcement learning., • Interpretability of deep neural networks., • Experience with advanced prompting / agentic-systems and fine-tuning or training an LLM, using industry accepted platforms., • Showcase previous work (e.g. via a website, presentation, open source code)., • Familiarity in building front-ends (Gradio, Streamlit, Dash or more standard React, Javascript, Flask) for simple demos, POCs and prototypes., • Essential dev-ops skills (we use Docker, AWS EC2/Batch/Lambda)., • Familiarity in coding for at-scale production. Additional Information The expected annual base salary range for this position is: $147,300/year to $245,000/year. This position is bonus eligible / commission-based. Actual compensation will be provided in writing at the time of offer, if extended, and is determined by work location and a range of other relevant factors, including but not limited to: experience, skills, degrees, licensures, certifications, and other job-related factors. Internal equity, market and organizational factors are also considered. Total Rewards @ Turnitin At Turnitin, we believe Total Rewards go far beyond pay. While salary, bonus, or commission are important, they’re only part of the value you receive in exchange for your work. Beyond compensation, you’ll experience the intrinsic rewards of unleashing your potential and making a positive impact on global education. You’ll also thrive in a culture free of politics, surrounded by humble, inclusive, and collaborative teammates. In addition, our extrinsic rewards include generous time off and health and wellness programs that provide choice, flexibility, and a safety net for life’s challenges. You’ll also enjoy a remote-first culture that empowers you to work with purpose and accountability in the way that suits you best, all supported by a comprehensive package that prioritizes your overall well-being. Our Mission is to ensure the integrity of global education and meaningfully improve learning outcomes. Our Values underpin everything we do. • Customer Centric: Our mission is focused on improving learning outcomes; we do this by putting educators and learners at the center of everything we do., • Passion for Learning: We are committed to our own learning and growth internally. And we support education and learning around the globe., • Integrity: Integrity is the heartbeat of Turnitin—it is the core of our products, the way we treat each other, and how we work with our customers and vendors., • Action & Ownership: We have a bias for action. We act like owners. We are willing to change even when it’s hard., • One Team: We strive to break down silos, collaborate effectively, and celebrate each others' successes., • Remote First Culture, • Health Care Coverage, • Education Reimbursement*Competitive Paid Time Off, • Self-Care Days, • National Holidays, • 2 Founder Days + Juneteenth Observed, • Paid Volunteer Time Off, • Charitable Contribution Match, • Monthly Wellness or Home Office Reimbursement, • Access to Employee Assistance Program (mental health platform), • Parental Leave Turnitin, LLC is an Equal Opportunity Employer- vets/disabled.

Job Description Your Impact Join a mission-focused team where your work directly supports critical national security objectives. We are seeking a Subject Matter Expert (SME) Full Stack Developer to lead the design, development, and delivery of scalable, mission-driven applications within an ML/Ops environment. This role combines deep technical expertise with advanced system-level thinking and close collaboration across engineering, data science, and customer stakeholder teams. The Full Stack Developer will perform rapid application design, ETL, data analysis, and interpretation while developing rules and methodologies for data collection and analysis. You will architect, develop, and maintain a Python-based data warehouse processing system that serves as the backend for a user-facing application, while also leading development of modern GUI applications using REST APIs and contemporary web frameworks. You will work closely with data scientists, computer vision engineers, ETL engineers, and intelligence analysts to integrate machine learning capabilities into production systems, enabling scalable model deployment, monitoring, and continuous improvement. This role emphasizes ownership, technical leadership, and delivery of production-ready solutions that operate reliably in dynamic, real-world environments. Responsibilities: • Lead and participate in the architectural design of complex features early in the development lifecycle., • Translate customer requirements and roadmap priorities into technical solutions, tasks, timelines, and resource plans., • Develop, integrate, and maintain full stack applications supporting ML/Ops pipelines and data-driven systems., • Design and implement scalable APIs and services to support machine learning model deployment and inference., • Develop and maintain data pipelines, ETL processes, and data storage solutions for large-scale datasets., • Collaborate with data scientists and ML engineers to operationalize models within production environments., • Optimize application and system performance for scalability, reliability, and efficiency, including edge and distributed environments when applicable., • Conduct peer reviews and establish coding standards to improve overall code quality and maintainability., • Guide development testing, exploratory testing, automated testing, and validation strategies., • Own code in production environments, respond to incidents, and lead root cause analysis and continuous improvement efforts., • Ensure security, compliance, and governance are maintained throughout the development lifecycle., • Perform technical planning, system integration, verification and validation, and risk assessments across system components., • Mentor and develop junior and mid-level engineers, fostering technical growth and high-performing teams., • Drive adoption of modern ML/Ops practices, tools, and automation frameworks across the team. We're looking for engineers who are: • Fast-paced technologists who thrive in dynamic, high-impact environments., • Collaborative professionals who work effectively across engineering, data science, and mission teams., • Customer-focused with experience engaging stakeholders, program managers, and product owners., • Self-starters capable of leading complex development efforts with minimal oversight., • Lifelong learners who stay current with emerging technologies, ML/Ops trends, and evolving mission needs., • Strong communicators able to clearly articulate technical concepts to diverse audiences., • Technically forward-leaning with awareness of industry trends, tools, and innovations. Required Qualifications: • Active TS/SCI clearance., • Bachelor's degree in Computer Science, Engineering, or a related technical field., • 14+ years of professional experience in full stack software development., • Expert-level proficiency in Python and object-oriented design patterns., • Extensive experience developing backend systems, APIs, and data processing pipelines., • Strong experience with modern web development frameworks, including React.js, Node.js, and/or Electron., • Deep understanding of data modeling techniques and experience working with large-scale and time series datasets., • Experience with relational and non-relational databases such as PostgreSQL, MongoDB, and BigQuery., • Experience building and maintaining RESTful APIs and microservices architectures., • Experience supporting machine learning workflows, including model integration, deployment, and monitoring., • Familiarity with ML/Ops tools and utilities such as MLflow, DVC, and/or Optuna., • Strong experience with Python libraries such as NumPy and Pandas., • Experience with Python web frameworks such as Flask, FastAPI, Pydantic, Gunicorn, and Uvicorn., • Experience with containerization and DevOps practices, including Docker and CI/CD pipelines., • Experience with web servers such as Apache and Nginx., • Experience working within Agile development environments and using associated tools. Desired Qualifications: • Experience supporting government or defense-related programs., • Experience integrating computer vision or machine learning capabilities into operational systems., • Knowledge of real-time data processing, streaming architectures, or distributed systems., • Experience with cloud-based ML/Ops environments and infrastructure (AWS, Azure, or Google Cloud Platform)., • Experience with parallelization and multiprocessing frameworks such as Dask., • Knowledge of geospatial data processing tools and libraries including GeoPandas, Shapely, Rasterio, QGIS, and ArcPy., • Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch., • Experience with remote procedure call technologies such as gRPC and JSON-RPC. Why Choose GRVTY The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We're purpose-built to tackle the most entrenched, systemic national security issues around the world. We partner with our customers to help them overcome challenges in every corner of technology and defense—including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives. At GRVTY, we believe that when our employees thrive, our company thrives. That's why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance. • Robust health plan including medical, dental, and vision, • Health Savings Account with company contribution, • Annual Paid Time Off and Paid Holidays, • Paid Parental Leave, • 401k with generous company match, • Training and Development Opportunities, • Award Programs, • Variety of Company Sponsored Events EEO Statement GRVTY, 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 and will not be discriminated against on the basis of disability. Anyone requiring reasonable accommodations should email or call 703-544-7930 with requested details. A member of the HR team will respond to your request within 2 business days. Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov) Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.

Job Description About Us Venatore is a woman-owned small business headquartered in Tampa, Florida, providing mission-driven technology and professional services to federal defense and civilian agencies. We deliver expertise in information technology, engineering, logistics, and program support to help our clients achieve operational excellence and mission success. About the Job The following position(s) are contingent upon the award of a contract with our government customer. We welcome candidates interested in prime or subcontractor alignment. The Artificial Intelligence Integrator supports Westover Air Reserve Base by delivering full-time, on-site artificial intelligence, machine learning, and automation expertise for Base Civil Engineering operations. This position is based in Chicopee, Massachusetts and requires on-site support. The role leads the design, development, testing, training, deployment, and sustainment of custom AI solutions that improve operational efficiency, strengthen mission readiness, and support long-term modernization goals. The successful candidate will work directly with government personnel to develop mission-focused solutions in contract analysis, energy optimization, and snowfall recovery, while managing the full lifecycle of AI integration from data preparation through deployment, training, and continuous improvement. Responsibilities Artificial Intelligence Solution Development • Design, train, validate, optimize, and deploy artificial intelligence and machine learning models addressing Base Civil Engineering mission needs., • Develop and enhance solutions for contract and revision analysis, energy monitoring and optimization, and snowfall recovery and readiness., • Transition pilot and beta capabilities into reliable operational tools for government users., • Apply predictive modeling, statistical analysis, and automation to extract actionable insights from structured and unstructured data., • Collect, prepare, cleanse, label, and validate data from multiple government-owned sources., • Build scalable data pipelines, feature engineering workflows, and repeatable model training processes., • Analyze historical and real-time data to identify trends, inefficiencies, and operational risks., • Perform model retraining, tuning, benchmarking, and performance monitoring., • Integrate AI solutions into secure, local, and air-gapped environments in accordance with government requirements., • Support development, test, and production environments within approved security boundaries., • Implement secure coding practices and cybersecurity controls to protect Controlled Unclassified Information and Federal Contract Information., • Ensure alignment with security standards, AI ethical principles, and compliance requirements., • Develop and maintain system documentation, user guides, technical manuals, and operational materials., • Conduct recurring monthly training for Air Force personnel on AI tools and workflows., • Prepare and deliver monthly status reports covering progress, risks, and performance., • Support patching, bug fixes, model updates, and sustainment activities., • Collaborate with government leads, users, and support teams to align solutions with mission objectives., • Participate in meetings, working groups, and technical discussions as required., • Coordinate testing, validation, and release activities., • Identify process gaps, data limitations, and integration risks, and recommend improvements., • Demonstrated experience designing, building, testing, and deploying artificial intelligence or machine learning solutions in operational environments., • Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, scikit-learn, Keras, or similar tools., • Strong programming skills in Python and experience in Linux-based environments., • Experience with data preparation, labeling, feature engineering, ETL processes, and model validation., • Familiarity with secure software engineering practices, APIs, containerization, and modern deployment approaches., • Working knowledge of cybersecurity practices, including protection of Controlled Unclassified Information and Federal Contract Information., • Experience producing technical documentation, training materials, and briefings for varied audiences., • Ability to work full-time on-site at Westover Air Reserve Base in Chicopee, Massachusetts., • Ability to operate effectively in a structured government environment., • Experience supporting Department of Defense, Department of the Air Force, or Air Force Reserve environments., • Experience integrating AI solutions in secure, local, hybrid, or cloud-informed environments (e.g., AWS GovCloud, Azure IL5/IL6 concepts)., • Experience with Docker, Kubernetes, DevSecOps pipelines, version control, and automation tools., • Experience with backend frameworks and data platforms such as Django, Celery, PostgreSQL, Apache Spark, or Databricks., • Experience developing dashboards, decision-support tools, or operational automation platforms., • Experience supporting model transparency, benchmarking, and audit-ready documentation., • Experience conducting user training and supporting adoption of new technologies., • Bachelor’s degree in computer science, data science, engineering, or a related field., • Paid Time Off (PTO), • 10 Federal Holidays, • 401(k) with company matching, • Medical, dental, and vision insurance, • Paid parental leave

Job Description About VantageScore At VantageScore we drive impact for good on a massive scale impacting tens of millions of people across the United States. Our mission is to be the leading credit modeling company delivering the most predictive, most innovative, and most inclusive tri-bureau models and attributes in the US market. Our innovation is increasing access for millions more Americans to financial products and homeownership. Our models are among, if not the most, inclusive in the United States and power billions of credits scores a year. We are fueled by a growing, exceptionally talented team and are actively seeking individuals who can join us in driving us toward our ambitious goals. At VantageScore, you'll have the unique opportunity to work within a fast-paced, independent start-up culture while enjoying the financial stability that comes from being backed by the three leading US credit bureaus. VantageScore® consumer credit scoring models combine the need for both financial inclusion and dependable predictiveness across all scoring ranges. An industry thought leader and technology innovation leader, the company's most recent models score approximately 94 percent of all adults 18 and older - including 33 million more people than conventional models - without sacrificing safety and soundness. As a result, lenders using VantageScore can extend credit to those who have been historically marginalized, including minority and lower-to-middle-income Americans. VantageScore credit scores are used by over 3,700 banks, fintechs and other companies use VantageScore credit scores every day to assess consumer creditworthiness. Last year, over 42 billion VantageScore credit scores were used representing a 55% yearly increase. All 10 US banks use VantageScore credit scores or digital tools in one or more line of business. Starting in 2025 the FHFA has required VantageScore credit scores to be used for all mortgages sold to, or guaranteed by, Fannie Mae and Freddie Mac. Get started using VantageScore credit scores today - we are the leader in predictive power and financial inclusion. About The Role We are seeking a highly motivated and innovative Senior Data Scientist (AI/ML) to join our brilliant team of analytics professionals and developers, supporting the cutting-edge development of credit scoring models, generation of unique insights, and delivery of transformative technologies rooted in innovative value propositions. In this role, you will be essential to credit score model innovation, credit and open banking related research initiatives, pilot program analyses with lenders and fintech partners, and ongoing model monitoring and reporting processes. You'll bring your expertise in AI/ML and GenAI/Large Language Models (LLMs) to advance our use of structured and unstructured data to deliver new products and insights. You'll partner cross-functionally to deliver scalable AI-powered products and solutions that redefine how consumers engage with credit - ensuring our models are accurate, explainable, and aligned with our mission to empower responsible lending and financial inclusion. Key Responsibilities • Conduct advanced research on structured and unstructured data, developing insights to support product management and new product development., • Contribute to the design, development, evaluation, and deployment of machine learning (ML) models, including credit risk and predictive models., • Serve as the team's expert on GenAI/LLMs, adapting and fine-tuning models and ensuring explainability and compliance., • Drive pilot program analyses, including back-testing, rejection inference, and performance analyses using diverse data sets., • Improve and maintain existing model monitoring processes and develop compelling data visualizations and dashboards to communicate key insights to stakeholders., • Partner with engineers to operationalize models into production systems, ensuring scalability and resilience at high data and inference volumes., • Research and apply emerging AI/ML, GenAI/LLM technologies, staying abreast of state-of-the-art methods, tools, and best practices., • Translate complex analyses into clear, actionable business recommendations for both technical and non-technical audiences., • Master's or PhD degree in a quantitative field (e.g., Data Science, Applied Mathematics/Statistics, Computer Science, Engineering, Econometrics)., • A minimum of 5 years of professional experience in advanced analytics, AI/ML/LLM, and data science in research and/or corporate environments., • Proficiency in Python for data science and machine learning workflows., • Proven experience with machine learning techniques (classification, clustering, regression, neural networks) for predictive risk and credit modeling., • Strong track record of conducting research, developing analyses, and producing clear and impactful presentations or publications., • Experience delivering insights and solutions that drive business impact., • Deep expertise in GenAI - Natural Language Processing (NLP) and Large Language Models (LLMs) - including training, fine-tuning, explainability, and deployment., • Deep expertise in advanced ML techniques (self-supervised learning, training optimization, explainability) with focus on credit scoring., • Proficiency with modern ML/AI technology stack, such as PyTorch, AWS and related tools., • Experience delivering innovative, scalable AI/ML solutions integrated into production platforms., • High-level analytical problem-solving ability, with creativity in defining and solving ambiguous problems., • Exceptional communication skills, able to convey technical concepts to diverse stakeholders., • Salary Range: 150K Base + Bonus Are you a Senior Data Scientist who thrives on innovation and has a deep passion for fintech? We invite you to take the leap and join our team. Together, let's embark on a mission to redefine the industry and propel your career to new heights at VantageScore!

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. This position is ideal for an individual who thrives on building advanced perception systems that enable autonomous aircraft to operate effectively in complex and contested environments. A successful candidate will be skilled in developing real-time object detection, sensor fusion, and state estimation algorithms using data from diverse mission sensors such as EO/IR cameras, radars, and IMUs. The role requires strong algorithmic thinking, deep familiarity with airborne sensing systems, and the ability to deliver performant software in simulation and real-world conditions. We are seeking a skilled and motivated manager to lead technical teams and support direct projects integrating perception solutions for defense platforms. Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Perception Engineers are instrumental in creating the situational awareness that underpins autonomy, ensuring our systems understand and respond to the operational environment with speed, precision, and resilience.What you'll do: • Multidisciplinary Team Leadership – Lead teams across autonomy, integration, and testing by aligning technical efforts, resolving cross-functional challenges, and driving mission-focused execution. Balance hands-on technical oversight with performance optimization, innovation, and clear stakeholder communication., • Develop advanced perception algorithms — Design and implement robust algorithms for object detection, classification, and multi-target tracking across diverse sensor modalities., • Implement sensor fusion frameworks — Integrate data from vision systems, radars, and other mission sensors using probabilistic and deterministic fusion techniques to generate accurate situational awareness., • Develop state estimation capabilities — Design and refine algorithms for localization and pose estimation using IMU, GPS, vision, and other onboard sensing inputs to enable stable and accurate navigation., • Analyze and utilize sensor ICDs — Interpret interface control documents (ICDs) and technical specifications for aircraft-mounted sensors to ensure correct data handling, interpretation, and synchronization., • Optimize perception performance — Tune and evaluate perception pipelines for performance, robustness, and real-time efficiency in both simulation and real-world environments., • Support autonomy integration — Work closely with autonomy, systems, and integration teams to interface perception outputs with planning, behaviors, and decision-making modules., • Validate in simulated and operational settings — Leverage synthetic data, simulation environments, and field testing to validate algorithm accuracy and mission readiness., • Collaborate with hardware and sensor teams — Ensure seamless integration of perception algorithms with onboard compute platforms and diverse sensor payloads., • Drive innovation in airborne sensing — Contribute novel ideas and state-of-the-art techniques to advance real-time perception capabilities for unmanned aircraft operating in complex, GPS-denied, or contested environments., • Travel Requirement – Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).Required Qualifications:, • BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience, • Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience., • 7+ years of experience in Unmanned Systems programs in the DoD or applied R&D, • 2+ years of people leadership experience, • Background in implementing algorithms such as Kalman Filters, multi-target tracking, or deep learning-based detection models., • Familiarity with fusing data from radar, EO/IR cameras, or other sensors using probabilistic or rule-based approaches., • Familiarity with SLAM, visual-inertial odometry, or sensor-fused localization approaches in real-time applications., • Ability to interpret and work with Interface Control Documents (ICDs) and hardware integration specs., • Proficiency with version control, debugging, and test-driven development in cross-functional teams., • Ability to obtain a SECRET clearance.Preferred Qualifications:, • Hands-on integration or algorithm development with airborne sensing systems., • Experience with ML frameworks such as PyTorch or Tensorflow, particularly for vision-based object detection or classification tasks., • Experience deploying perception software on SWaP-constrained platforms., • Familiarity with validating perception systems during flight test events or operational environments., • Understanding of sensing challenges in denied or degraded conditions. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionData ScientistWashington, DC (Hybrid)About the Role: We are looking for a highly motivated Data Scientist with a strong background in applied machine learning and AI to join our growing team. In this role, you will be a key contributor to the development of core AI/ML solutions that power our platform. You will collaborate closely with product and engineering teams, applying state-of-the-art techniques to solve complex challenges, advance our use of large language models (LLMs), and ensure scalable, production-ready solutions. Key Responsibilities: • Leverage 5+ years of experience in data science to design, implement, and optimize machine learning models and pipelines., • Develop, fine-tune, and evaluate large language models (LLMs) for a variety of applications, ensuring accuracy, performance, and robustness., • Collaborate with engineering and product teams to integrate AI/ML solutions into our platform in a scalable and maintainable way., • Conduct applied research, staying current on advances in LLMs, generative AI, and data science methodologies, and translate them into practical solutions., • Build end-to-end workflows, from data exploration and feature engineering to training, validation, deployment, and monitoring in production., • Apply modern containerization and orchestration techniques (e.g., Docker, Kubernetes) to support reproducible experimentation and deployment., • Work with cloud platforms (e.g., Databricks, AWS, GCP, Azure) to manage data pipelines, large-scale training jobs, and distributed systems., • Collaborate across teams to ensure our AI capabilities align with platform goals and business needs.Qualifications:, • 5+ years of experience as a Data Scientist or Machine Learning Engineer, with proven success in deploying models to production., • Hands-on experience with large language models (LLMs); fine-tuning experience strongly preferred., • Strong background in Python and ML frameworks such as PyTorch or TensorFlow., • Proficiency in containerization and orchestration technologies (Docker, Kubernetes)., • Experience with cloud platforms and ML ecosystems (Databricks, AWS, GCP, Azure)., • Familiarity with MLOps best practices, including model deployment, monitoring, and CI/CD for ML., • Strong analytical and problem-solving skills, with the ability to translate research into production-ready solutions., • Excellent communication and collaboration skills, with the ability to work effectively across product, engineering, and leadership teams., • A proactive, self-starter mindset with a passion for applied research and innovation.

Job DescriptionMachine Learning EngineerWashington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying, maintaining, and monitoring the AI/ML systems that power our platform. You will work closely with data scientists, data engineers, and product teams to ensure scalable, reliable, and production-grade AI solutions. You'll play a critical role in operationalizing large language models (LLMs) and other ML systems, ensuring they run efficiently, securely, and with robust monitoring in place. Key Responsibilities: • Design, implement, and maintain ML deployment pipelines for scalable production systems., • Operationalize large language models (LLMs) and other AI/ML models, ensuring high availability and reliability., • Build robust model monitoring, logging, and alerting systems to track performance and detect drift., • Partner with data scientists to transition models from research/prototype into production-ready deployments., • Develop CI/CD pipelines for ML workflows, integrating testing, validation, and automated deployment., • Optimize runtime performance of ML models across cloud platforms (AWS, GCP, Azure) and distributed systems., • Apply containerization and orchestration (Docker, Kubernetes) to enable reproducible, scalable systems., • Collaborate with cross-functional teams to ensure ML systems align with platform goals and business requirements.Qualifications:, • 5+ years of experience as a Machine Learning Engineer, MLOps Engineer, or similar role., • Proven experience deploying and maintaining machine learning models in production at scale., • Hands-on experience with ML lifecycle tooling (MLflow, Kubeflow, SageMaker, Vertex AI, or similar)., • Strong proficiency in Python; familiarity with ML frameworks such as PyTorch or TensorFlow., • Deep knowledge of containerization (Docker) and orchestration (Kubernetes) for production ML systems., • Expertise with cloud platforms (AWS, GCP, Azure) for ML deployment and scaling., • Strong understanding of MLOps best practices, monitoring, and automation., • Excellent problem-solving skills, with an emphasis on building reliable, scalable systems., • Strong communication and collaboration skills across technical and non-technical teams.