Engineer jobs in Silver Spring, MD - 10,831 jobs

Are you interested in the research, development, design, testing, and analysis of Position, Velocity, Attitude, and Timing (PVAT) systems including Global Navigation Satellite System (GNSS) receivers in both clear and interfering radio frequency (RF) environments? Do you want to be a part of an interdisciplinary team that helps ensure the success of kinetic weapon systems through integrating, testing, analyzing, and improving RF hardware through laboratory and field-testing activities? If so, we are looking for someone like you to join our team at APL! We are seeking an engineer to evaluate and assess performance of weapon systems by developing, testing, and implementing complex environments via hardware-in-the-loop (HWIL or HIL) testbeds. You will join a team that integrates, tests, and evaluates HIL simulations that involve GNSS receivers, integrated navigation systems, and external inputs like IMU, air data sensors, and radar altimeters. You will collaborate with a team to develop requirements, evaluate performance, and perform independent verification and validation navigation hardware under challenging signal conditions in real-world environments. As a PVAT Test and Integration Engineer you will... Integrate, test and evaluate GNSS receiver and navigation hardware systems in APL HiL facilities, at field test sites, and external ground test facilities. Support Systems Engineering technical tasks such as trade studies, analysis of alternatives, proposals and conceptual development for current and future US military PVAT systems. Develop and implement comprehensive test strategies and methodologies to validate requirements and assess performance. Explore performance improvements through experimentation and prototyping. Analyze and assess contractor designs to assist program offices throughout the DoD acquisition cycle and collaborate with contractor community to help them field operational weapon systems. Qualifications You meet our qualifications for the job if you... Have a B.S. in Electrical Engineering, Physics, Computer Engineering, Systems Engineering, or another related technical field Have 4 or more years of RF Engineering experience. Are familiar with one or more of: navigation principles, inertial navigation, aided navigation, Kalman filters, GNSS receivers, or HIL testing. Have knowledge of RF systems, signal processing, software (C++, Python), or data analysis/visualization (MATLAB). Have experience using RF test equipment such as spectrum analyzers, signal generators, waveform generators, oscilloscopes, signal analyzers, or RF recorders Have excellent interpersonal, written, and verbal communication skills, and demonstrated success while working within a team environment. Have the ability to travel up to 20% of the time, as needed. Hold an Interim Secret security clearance and can ultimately obtain a Top Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship. About Us Why Work at APL? The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates. At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at ****************************** All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accommodations@jhuapl.edu. The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis. Minimum Rate $85,000 Annually Maximum Rate $195,000 Annually

Are you searching for ground breaking mechanical engineering work? Are you passionate about exploring innovative solutions for advanced maritime systems? Do you thrive in a fast-paced, collaborative environment where your contributions make a real impact? If so, we are looking for someone like you to join our team at APL! We are seeking a Mechanical Engineer to support the advancement of maritime systems for our nation's warfighters. As a member of the Ocean Systems and Engineering Group, you will lead the full lifecycle development of next-generation maritime systems, from design and fabrication to integration, testing, and evaluation. You will collaborate with government, industry, and academia to push the limits of maritime technology. In this role, you'll have the opportunity to work hands-on with emerging technologies, develop engineering solutions, and shape the future of maritime innovation. As a Mechanical Engineer you will… Design mechanical systems using CAD tools and other design tools as needed. Lead mechanical engineering projects. Conduct analysis and testing of mechanical systems. Develop test plans, conduct tests, and document test results. Prepare technical documentation for projects. Conduct studies of new technologies. Prepare and conduct design reviews, technical reports and other briefing material for presentation to all levels of staff and Government agencies. Participate in the installation, test and maintenance of systems onboard Navy platforms, and shore installations. Work closely with JHU/APL Program Managers, Project Managers, fabrication shops and external vendors. Qualifications You meet our minimum qualifications for the job if you... Possess a BS degree in Mechanical Engineering, Naval Architecture, Ocean Engineering, or a related field. Have proven experience in developing and analyzing mechanical systems. Have proven experience with naval architecture principles, including hull design, stability, and structural analysis. Have experience with Computer-Aided Design (CAD) tools such as SolidWorks, CREO or other design packages. Have experience with Computational Fluid Dynamics (CFD) modeling, stress, and thermal analysis using finite element software. Have knowledge of the manufacturing process. Have demonstrated initiative and ability to multi-task in a fast-paced work environment and take a system through the Life-Cycle process. Have ability to effectively work and communicate orally and in writing with other engineers, scientists, and technicians as a member of a multidisciplinary team. Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a Top Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship. You'll go above and beyond our minimum requirements if you... Possess an MS in Mechanical Engineering, Naval Architecture, Ocean Engineering, or a related field. Have experience with the design and integration of uncrewed vehicles and undersea sensors (acoustic and non-acoustic). Have experience with NAVSEA Temporary Alteration Design Package development. Have experience leading project teams. Have an active Top Secret level clearance. #LI-AG1 About Us Why Work at APL? The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates. At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at ****************************** All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accommodations@jhuapl.edu. The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis. Minimum Rate $100,000 Annually Maximum Rate $245,000 Annually

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead AI EngineerMcLean, VA: $193,400 - $220,700 for Lead AI EngineerNew York, NY: $211,000 - $240,800 for Lead AI EngineerSan Francisco, CA: $211,000 - $240,800 for Lead AI EngineerSan Jose, CA: $211,000 - $240,800 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

About Pryon We're a team of AI, technology, and language experts whose DNA lives in Alexa, Siri, Watson, and virtually every human language technology product on the market. Now we're building an industry-leading knowledge management and Retrieval-Augmented Generation (RAG) platform. Our proprietary, cutting‑edge natural language processing capabilities transform unstructured data into meaningful experiences that increase productivity with unmatched accuracy and speed. In This Role Help solve fundamental problems in machine learning, natural language understanding, and human‑computer interaction with applicability to practical commercial use cases. Help with experimentation and model development, and design new features as well as improve existing ones in our system. Partner with the AI Engineering team to transition mature technology to our production environment. What You'll Need to Be Successful Master's degree or higher in Computer Science, Data Science or related technical field, and 3+ years of relevant industrial/academic work experience (or equivalent) Demonstrated ability to drive the development side of R&D efforts Experience building/refining/innovating deep learning models for Natural Language Processing, Computer Vision, or Speech Recognition Experience with one or more of deep learning toolkits (PyTorch/HF preferred) Strong foundation in Computer Science with high competency in data structures, algorithms, and software design (expertise in one or more of: Python, C++, or Java) Experience building and improving LLM applications for processing semi‑structured and structured data such as NL2SQL and graph‑RAG Experience with practical applications in NLP, esp. with transformers/LLMs a plus Publications in top‑tier conferences (NeurIPS, ICLR, ACL, EMNLP, CVPR etc.) a plus Experience working in cloud‑based development environments such as AWS, Azure, or Google Experience with micro‑service creation Strong problem‑solving skills, with a hands‑on, get‑it‑done attitude Team player with ability to work in a close‑knit, fast‑paced startup environment $160,000 - $175,000 a year Benefits for Full‑Time Employees Remote first organization 100% Company paid Health/Dental/Vision benefits for you and your dependents Life Insurance, Short‑term and Long‑term Disability 401k Unlimited PTO We are interested in every qualified candidate who is authorized to work in the United States. However, we are not able to sponsor or take over sponsorship of employment visas at this time. Pryon will not consider race, religion, sex, sexual preference, or national origin in ways that violate the Nation's civil rights laws. #J-18808-Ljbffr

Come build at the intersection of AI and fintech. At Ocrolus, we're on a mission to help lenders automate workflows with confidence-streamlining how financial institutions evaluate borrowers and enabling faster, more accurate lending decisions. Our AI-powered data and analytics platform is trusted at scale, processing nearly one million credit applications every month across small business, mortgage, and consumer lending. By integrating state-of-the-art open- and closed-source AI models with our human-in-the-loop verification engine, Ocrolus captures data from financial documents with over 99% accuracy. Thanks to our advanced fraud detection and comprehensive cash flow and income analytics, our customers achieve greater efficiency in risk management, and provide expanded access to credit-ultimately creating a more inclusive financial system. Trusted by more than 400 customers-including industry leaders like Better Mortgage, Brex, Enova, Nova Credit, PayPal, Plaid, SoFi, and Square-Ocrolus stands at the forefront of AI innovation in fintech. Join us, and help redefine how the world's most innovative lenders do business. Summary As a Staff Machine Learning Engineer at Ocrolus, you'll be a hands-on technical leader who helps shape the future of our machine learning systems. This is a high-impact role, entailing strategic responsibility in determining the company's Machine Learning infrastructure, system architecture, and deployment protocols. You will collaborate across teams to design, scale, and refine models that power core features - from document understanding and OCR to complex NLP and decision intelligence. This role involves the design of scalable Machine Learning solutions, mentorship of engineering personnel, and contribution to the technical and organizational advancement of the AI stack. The ideal candidate will excel in addressing complex challenges, providing guidance to others, and spearheading innovation on a large scale. What you'll do Spearhead the Design and Architecture: Lead the design and architecture of robust, scalable machine learning systems that are primed for seamless deployment into production. Enhance Productivity: Design and implement essential machine learning infrastructure and tools that support multiple teams, streamlining workflows and improving efficiency across the organization Solve Complex Infrastructure and ML Problems: Address complex infrastructure and machine learning challenges that span the organization. Analyze systems to identify and rectify bottlenecks, inefficiencies, and areas for improvement. Drive Model Evaluation and Optimization: Lead the development of model evaluation frameworks, optimize data pipelines, and implement continuous training strategies to ensure that models remain accurate and up-to-date. Apply ML Expertise to Fintech: Leverage state-of-the-art machine learning models within the fintech domain to automate and enhance document processing. Collaborate Across Teams: Work closely with stakeholders from Product, Engineering, and Operations to ensure that goals are aligned and that execution is coordinated and effective. Mentor and Guide Engineers: Provide mentorship to engineers within both ML and platform teams, fostering their professional development and contributing to the overall growth of Ocrolus' technical expertise. Coach and influence others to improve company culture. Contribute to Engineering Standards: Play an active role in shaping Ocrolus-wide engineering standards, participate in design reviews (RFCs/ADRs), and promote adherence to best practices. Champion Code Quality and Reliability: Be a vocal advocate for code quality, observability, and system reliability. This includes everything from implementing rigorous A/B testing to setting up real-time monitoring systems. Understand how their team and projects fit into the larger business goals. Bring together technical and nontechnical stakeholders towards common objectives, suggest alternative solutions to customer problems, and help teach and support more junior teammates. Look for opportunities for process improvements within their team and works with others to implement process changes. Find ways to incorporate company values into day-to-day decisions and have ideas on how to build policies/processes that support the improvement of company culture. Who we're looking for: (Skill Sets and Qualifications) Bachelor's or Master's degree in Computer Science, Machine Learning, Applied Mathematics, or a related technical field 7+ years of experience developing and deploying machine learning models in production environments, with a focus on real-world applications and measurable impact. Deep expertise in Python and at least one major ML framework (e.g., PyTorch, TensorFlow); strong proficiency in building, training, and optimizing deep learning models. Proven experience in applying ML techniques to computer vision, OCR, or NLP problems, ideally at scale and in latency-sensitive environments. Strong understanding of ML system design, including model evaluation, A/B testing, continuous training, and monitoring in production. Solid engineering fundamentals - data structures, system design, version control, and testing - with a history of writing clean, maintainable, and scalable code. Experience with modern infrastructure tools and cloud platforms (Docker, Kubernetes, Helm, AWS/GCP); comfortable navigating MLOps pipelines and deployment workflows. Demonstrated ability to lead cross-functional initiatives, influence architectural decisions, and communicate complex technical ideas to diverse stakeholders. Experience mentoring engineers and fostering a culture of high standards, curiosity, and ownership. Preferred Attributes: Working familiarity with additional programming languages (e.g., Go, Java, or Scala) is a plus. Experience operating within regulated industries (fintech, healthtech, etc.). Active contributor to open source, research publications, or public tech community. Champions a culture of humility, curiosity, and ownership in technical decision-making. Life at Ocrolus We're a team of builders, thinkers, and problem solvers who care deeply about our mission - and each other. As a fast-growing, remote-first company, we offer an environment where you can grow your skills, take ownership of your work, and make a meaningful impact. Our culture is grounded in four core values: Empathy - Understand and serve with compassion Curiosity - Explore new ideas and question the status quo Humility - Listen, be grounded, and remain open-minded Ownership - Love what you do, work hard, and deliver excellence We believe diverse perspectives drive better outcomes. That's why we're committed to fostering an inclusive workplace where everyone has a seat at the table, regardless of race, gender, gender identity, age, disability, national origin, or any other protected characteristic. We look forward to building the future of lending together. #J-18808-Ljbffr

A leading health solutions company in Washington, D.C. seeks a Senior Privacy Engineer to embed privacy by design into systems and data-handling processes. The ideal candidate will collaborate across teams, design privacy technologies, and ensure compliance with regulations like GDPR and CCPA. Strong technical skills and 5+ years of relevant experience are essential. Enjoy competitive compensation and benefits in a dedicated work environment. #J-18808-Ljbffr

Employment Type: Full-Time Clearance: Ability to obtain IRS staff-like access / MBI Clearance Praescient Analytics is seeking an AI / Machine Learning Engineer to design, develop, and deploy artificial intelligence and machine learning solutions supporting IRS modernization efforts. This role focuses on integrating AI capabilities into APIs and production systems while collaborating closely with engineering and data teams. This position requires U.S. citizenship. The role will be hybrid with work locations in Washington, DC or Lanham, MD. Key Responsibilities Design and develop AI/ML models and services using modern frameworks Deploy, monitor, and maintain models in production environments via APIs Support AI-driven automation for software development and testing Build and maintain data pipelines supporting AI workflows Collaborate with stakeholders to translate business needs into AI solutions Ensure AI systems are scalable, secure, and reliable Required Qualifications 5+ years of experience in software engineering or machine learning Strong proficiency in Python Experience with PyTorch or TensorFlow Knowledge of NLP and large language models (LLMs) Experience with MLOps tools (MLflow, Docker, cloud platforms) Experience deploying models via SageMaker, Vertex AI, or custom APIs (e.g., FastAPI) US Citizenship and the ability to undergo an IRS Minimum Background Investigation (MBI). Preferred Qualifications Experience with generative AI, RAG, or LLM fine-tuning Open-source contributions Experience supporting large-scale enterprise or government systems Benefits: Competitive salary based on qualifications and experience Comprehensive, Company paid healthcare for you (We pay your premiums and deductibles) 401(k) with company match Travel & performance incentives 3 weeks paid time off (plus Federal Holidays) $5K annual training allowance $500 book allowance Tuition reimbursement program Praescient Analytics is a Certified Woman-Owned Small Business (WOSB) with over a decade of expertise in advanced analytics, engineering, and DevOps, specializing in transforming complex data into actionable intelligence for informed decision-making. Since 2011, we have supported over 40 organizations across diverse domains, including military intelligence operations, financial and fraud investigations, and insider threat detection. Our team of experts-skilled in cloud computing, artificial intelligence, machine learning, data science, DevOps, and engineering-brings deep experience in solving complex challenges. With a proven track record in federal contracting, we deliver tailored, high-impact solutions designed to enhance operational efficiency, ensure mission success, and address the evolving needs of our clients. Praescient's innovative and adaptive approach makes us a trusted partner in delivering data-driven insights and technological excellence for critical missions. Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. US Citizenship Required Interested Candidates: Please forward your resume to ********************************** and please visit our website to apply online at ****************************************************** #J-18808-Ljbffr

In today's rapidly evolving technology landscape, an organization's data has never been a more important aspect in achieving mission and business goals. Our AI & Data Exploitation experts work with our clients to support their mission and business goals by creating and executing a comprehensive data strategy using the best technology and techniques, given the challenge. At Steampunk, our goal is to build and execute a data strategy for our clients to coordinate data collection and generation, to align the organization and its data assets in support of the mission, and ultimately to realize mission goals with the strongest effectiveness possible. For our clients, data is a strategic asset. They are looking to become a facts-based, data-driven, customer-focused organization. To help realize this goal, they are leveraging visual analytics platforms to analyze, visualize, and share information. At Steampunk, you will design and develop solutions to high-impact, complex data problems, working with the best data practitioners around. Contributions We are looking for a seasoned Machine Learning Engineer to work with our existing team of Data Scientists and Engineers to use AI/ML technology in supporting Federal use cases. We are looking for more than just a "Machine Learning Engineer", but a technologist with excellent communication and customer service skills and a passion for data and problem solving. Collaborate with cross-functional teams to design and develop machine learning models and algorithms to address business needs. Analyze and process large datasets to extract meaningful insights and patterns. Collaborate with cross-functional teams to integrate machine learning solutions into existing systems and workflows. Optimize and fine-tune machine learning models for performance, scalability, and accuracy. Implement and maintain data pipelines to support machine learning workflows. Evaluate the effectiveness of machine learning models using appropriate metrics and validation techniques. Document processes, experiments, and results to ensure reproducibility and knowledge sharing. Deploy machine learning models to production environments and monitor their performance. Stay updated with the latest research and trends in AI to implement cutting-edge solutions. Support an Agile software development lifecycle. You will contribute to the growth of our AI & Data Exploitation Practice! Qualifications Master's degree and 3 years of relevant experience; OR Bachelor's degree and 5 years of relevant experience; OR No degree and 9 years of relevant experience. Possesses at least one professional certification relevant to the technical service provided. Maintain a certification relevant to the product being deployed and/or maintained. Ability to hold a position of public trust with the US government. 2-4 years industry experience developing ML/AI solutions and a passion for solving complex problems. 2-4 years industry experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. Strong programming skills in languages such as Python. Solid understanding of statistical methods, data structures, and algorithms. Experience with data preprocessing, feature engineering, and model evaluation techniques. Familiarity with big data technologies like Spark. Knowledge of cloud platforms such as AWS, Google Cloud, or Azure. Experience with version control systems, such as Git, and continuous integration/continuous deployment (CI/CD) practices. Excellent problem-solving skills and attention to detail. Strong communication skills and ability to work collaboratively in a team environment. Ability to manage multiple tasks and projects simultaneously while meeting deadlines. About Steampunk Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $115,000 to $150,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn more about additional Steampunk benefits here. 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. Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. As an employee-owned company, we focus on investing in our employees to enable them to do the greatest work of their careers - and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit ************************* We are 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. Steampunk participates in the E-Verify program. #J-18808-Ljbffr

United States Job Identification 313489 Job Category Pre Sales Posting Date 12/16/2025, 03:30 PM Job Type Regular Employee require a security clearance? No Years 6 to 10+ years Additional Info Visa / work permit sponsorship is not available for this position Applicants are required to read, write, and speak the following languages English Job Description Partners with customers, sales, engineering and product teams to design, demonstrate and deploy Oracle Cloud architectures that address customer business problems. Drives Oracle Cloud customer consumption by accelerating the adoption of Oracle cloud services including discovery, design and deployment. Responsibilities Engages with strategic customers, builds leadership relationships at multiple levels within organizations in order to design and implement solutions. Works directly with customers to gather requirements, develop architectures and translates business needs into solutions. May implement solutions and ensure successful deployments through code development and scripting. Displays product/application understanding through highly customized presentation demonstrations to customers, and at conferences, and events. Supports customer from Proof of Concept (POC) through production deployment of services via resource configuration, planning, and customer education/training. Creates and distributes technical assets (white papers, solution code, blog posts, and video demonstrations). Serves as a leading contributor for customers and sales on technical cloud solutions and customer success. Identifies gaps and enhancements to influence engineering roadmaps for customer driven features. Leading contributor, may provide direction and mentoring to others. Work is non-routine and very complex, involving the application of advanced technical/business skills in area of specialization. May interact with C level. Maintains expertise by staying current on emerging technologies. Qualifications Disclaimer: Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $113,100 to $185,100 per annum. May be eligible for equity. Eligible for commission with an estimated pay mix of 70/30. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: Medical, dental, and vision insurance, including expert medical opinion Short term disability and long term disability Life insurance and AD&D Supplemental life insurance (Employee/Spouse/Child) Health care and dependent care Flexible Spending Accounts Pre-tax commuter and parking benefits 401(k) Savings and Investment Plan with company match Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 11 paid holidays Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. Paid parental leave Adoption assistance Employee Stock Purchase Plan Financial planning and group legal Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC4 About Us As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_************* or by calling *************** in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Request a referral from an Oracle employee. #J-18808-Ljbffr

About Bitdeer Bitdeer Technologies Group (Nasdaq: BTDR) is a world‑leading technology company for Bitcoin mining. Bitdeer is committed to providing comprehensive computing solutions for its customers. The company handles complex processes involved in computing such as equipment procurement, transport logistics, datacenter design and construction, equipment management, and daily operations. The company also offers advanced cloud capabilities to customers with high demand for artificial intelligence. Headquartered in Singapore, Bitdeer has deployed datacenters in the United States, Norway, and Bhutan. What you will be responsible for Responsible for PCB layout design, layer stack‑up planning, and routing for high‑speed, high‑density, and high‑power mining hardware systems. Collaborate with global hardware, mechanical, and thermal design teams to ensure layout manufacturability, mechanical compatibility, and electrical integrity. Perform signal integrity (SI) and power integrity (PI) simulations to verify layout quality and optimize electrical performance. Define PCB design rules, constraints, and standards, including impedance control, differential pair routing, and trace length matching. Conduct DFM (Design for Manufacturing) and DFA (Design for Assembly) checks to ensure production readiness and yield optimization. Participate in schematic reviews to propose improvements on component placement, grounding schemes, and decoupling strategies. Work with suppliers and PCB vendors to define material stack‑up, layer configuration, and ensure process capability compliance. Support prototype bring‑up, signal measurement, and issue analysis using high‑speed testing tools such as oscilloscopes and TDRs. Maintain and manage all layout‑related documentation, including Gerber files, fabrication drawings, and version control records. Stay updated with the latest PCB layout technologies, simulation tools, and design methodologies for continuous improvement. How you will stand out Bachelor's degree or above in Electrical, Electronic, or Computer Engineering. Minimum 3 years of PCB layout experience in server, ASIC mining, or data‑center hardware development. Proficient in Cadence Allegro, Altium Designer, or Mentor Graphics for high‑speed PCB layout design and constraint management. Strong understanding of Signal Integrity (SI) and Power Integrity (PI) concepts, including impedance control and crosstalk analysis. Familiar with high‑speed interfaces such as PCIe, DDR, USB, and Ethernet, as well as low‑speed communication buses (I²C, SPI, UART). Knowledge in multi‑layer board stack‑up design, return path control, and grounding optimization. Experience with SI/PI simulation tools (e.g., Sigrity, HyperLynx, ADS) is preferred. Understanding of PCB fabrication processes, material characteristics, and controlled impedance techniques. Strong documentation discipline and familiarity with revision control systems. Excellent teamwork, communication, and problem‑solving skills in a fast‑paced, innovation‑driven global R&D environment. What you will experience working with us A culture that values authenticity and diversity of thoughts and backgrounds. An inclusive and respectable environment with open workspaces and exciting start‑up spirit. Fast‑growing company with the chance to network with industrial pioneers and enthusiasts. Ability to contribute directly and make an impact on the future of the digital asset industry. Involvement in new projects, developing processes/systems. Personal accountability, autonomy, fast growth, and learning opportunities. Attractive welfare benefits and developmental opportunities such as training and mentoring. -------------------------------------------------------------------- Bitdeer is committed to providing equal employment opportunities in accordance with country, state, and local laws. Bitdeer does not discriminate against employees or applicants based on conditions such as race, colour, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union. #J-18808-Ljbffr

ABOUT ROCKET MONEY Rocket Money's mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money - ultimately giving them a leg up on their financial journey. ABOUT THE TEAM Machine Learning Engineers at Rocket Money further our mission by building products that deepen customer relationships with our many financial products. Our work ranges from transaction enrichment to personalization to cross-functional tools that support various AI product initiatives. We work closely with product teams to develop features that help customers understand, track, and improve their personal finances. We have a strong preference for team players that are comfortable collaborating across teams, know how to support strategy with ML and AI powered user experiences, can deliver scalable and high quality user experiences, and understand the effects of their products on end users. At the Staff level, Machine Learning Engineers are expected to build broad expertise into our products and the ML solutions that power them as well as drive technical progress for the team. ABOUT THE ROLE As a Staff Machine Learning Engineer at Rocket Money, you will be at the forefront of our ML and AI product development, bringing your expertise to design, implement, and maintain sophisticated ML systems that drive our product experiences. You will : Lead the architecture and development of complex AI and ML powered features across Rocket Money's product suite, proactively identifying technical challenges before they become issues. Design, implement, and maintain robust evaluation frameworks. You ensure that ML / AI systems can be constantly improved and create frameworks so that others can do the same. Develop novel new product experiences that you are uniquely positioned to enable for users. Help Rocket Money capitalize on it's unique dataset and scale. Guide others to help generate impact through effective technical leadership and partnership with product. Own end to end development and implementation of ML and AI product features in collaboration with cross-functional product development teams. Rigorous technical critique and oversight coupled with effective communication of business impact are musts. Provide technical mentorship, fostering an environment where everyone can contribute to high-impact work. You will raise the level of everyone around you. Potential Projects Develop comprehensive evaluation and ML Ops frameworks that enable systematic assessment of model performance, supporting rapid iteration and improvement of AI / ML product features. Scale transaction metadata generation systems to billions of financial transactions in a consumer facing app. Implement AI assisted transaction management and personalization features such as personalized categories, income and rent detection, and subscription identification. Implement effective user feedback mechanisms that enable measurement of ML feature product quality and constant improvement. Architect user facing predictive features that depend on fast moving and large scale user transaction data. ABOUT YOU 8+ years of professional experience in machine learning engineering or data science roles, with a proven track record of designing and implementing ML systems at consumer tech scale and speed. Extensive hands-on experience integrating ML and AI methods into production workflows, including creating evaluation tooling and effective user feedback mechanisms to support rapid product development cycles and systematic model evaluation. Experience with prompt engineering and management, creating robust systems for testing and optimizing LLM-based applications. Expert-level proficiency in Python, SQL, and at least a handful of common ML frameworks. Working Typescript knowledge is a plus. You understand ML methods at a fundamental level - deep experience in NLP techniques is a plus. You are a master at taking ambiguous problems, creating clarity, and breaking down work into manageable chunks for implementation. You've owned the development, launch, and maintenance for several scaled ML / AI powered product experiences. You understand basic software engineering and computer science fundamentals and have applied them at consumer grade scale to build ML powered products in production environments. You are a technical leader who can identify both emergent technical opportunities and gaps relative to best practice. Your strong communication skills enable your team to capitalize on these opportunities and generate impact. You care about products and user experiences, not publications. You are a practitioner first and thrive at the (messy) intersection of the real world and cutting edge approaches. WE OFFER Health, Dental & Vision Plans Competitive Pay 401k Matching Unlimited PTO Lunch daily (in-office only) Snacks & Coffee (in-office only) Commuter benefits (in-office only) Additional information: Salary range of $210,000 - $260,000 / year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience. Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #J-18808-Ljbffr

Job ID: 1006155 - Auburn, Washington - Job Type: Contract - Added: a day ago Equipment & Tool Engineer (Asset Integration & Sys. Eng) is hired by a client of Innova Solutions. Position Type: Full Time, Contract. Duration: 12+ months. Location: Auburn, WA / Fredrickson, WA. Responsibilities This is an equipment development, implementation, and improvement role. Evaluate program and project requirements, develop complex equipment concepts and design solutions for the Production System. Compile and analyze technical data to determine effects on product engineering design, usability, and rate estimates. Ensure compliance with safety, producibility, maintainability, reliability, ergonomic factors, and regulatory requirements. Develop and release bid and purchase specifications for equipment needs from suppliers. Troubleshoot current production issues related to quality, safety, and repeatability. Develop and implement workarounds and maintain configuration of hardware and documentation. Perform studies and make recommendations for disposition of assets. Basic Qualifications (Required) Bachelor's degree from an accredited program in engineering, computer science, mathematics, physics, or chemistry. ABET is preferred but not required. Preferred Qualifications Knowledge of various manufacturing techniques. Experience in automation and robotics. Ability to learn in a fast-paced environment. Strong communication skills and the ability to collaborate across diverse teams. Education Education/experience typically acquired through advanced technical education from an accredited program in engineering, computer science, mathematics, physics or chemistry (e.g., Bachelor) or an equivalent combination of technical education and experience. In the USA, ABET accreditation is preferred, though not required. Pay, Benefits, and How to Apply Pay Range: $40-$43 per hour. The final pay is based on candidates' education, work experience, location, duties, and certifications. Benefits (eligibility-based) include Medical & pharmacy, Dental/vision, 401(k), HSA, FSA, Life Insurance, Disability, and other paid leaves. EAP available. About Innova Solutions Founded in 1998 and headquartered in Atlanta, GA, Innova Solutions employs about 50,000 professionals worldwide and serves clients globally with technology and business transformation solutions. Recognition Named One of America's Best Employers for New Grads by Forbes (2024) Named one of the Best Companies to Work for by U.S. News & World Report (Private Companies List, 2024-2025) Ranked among top IT staffing firms by Staffing Industry Analysts (SIA, 2024) Multiple additional recognitions in 2023-2024 Contact Website: ******************************** Email: *********************************** • Phone: ************ Innova Solutions is an Equal Opportunity Employer. If you require accommodations during the application process, please contact ********************** or **************. #J-18808-Ljbffr

About Us: SwarmInt is a defense AI startup developing cutting‑edge computer vision and edge AI capabilities for military expeditionary forces. We strive to develop operator‑in‑the‑loop solutions for warfighters with active contracts supporting the Department of Defense and Intelligence Community. Job Description: We're seeking a Senior Elasticsearch Engineer to architect and optimize search infrastructure for a large‑scale enterprise data solution supporting our Intelligence Community customer. You'll design systems that enable real‑time search and retrieval across petabytes of data to support operational intelligence analysis and decision‑making. This role requires regular on‑site work at customer facilities in Bethesda, Maryland, including work in classified facilities (SCIF). Responsibilities: Design and implement high‑performance search infrastructure for large‑scale data ingestion and retrieval Architect indexing strategies for diverse data types including time‑series, geospatial, and vector embeddings Build and optimize real‑time data pipelines for continuous index population Performance tune queries and clusters for sub‑second response times on massive datasets Integrate search capabilities with AI/ML pipelines and analytics platforms Design data retention, archival, and lifecycle management strategies Deploy and manage search infrastructure in containerized environments and on‑premises deployments Work in restricted and air‑gapped network environments Mentor engineers on search architecture and optimization techniques Collaborate across teams on data architecture and integration patterns Required Qualifications: Bachelor's degree in Computer Science, Engineering, or related field 8‑12 years experience with Elasticsearch in production environments Deep understanding of search engine internals, indexing, and query optimization Experience designing and scaling distributed search clusters Strong programming and scripting skills for automation and tooling Experience building data ingestion pipelines Proficiency with cluster monitoring and performance analysis Understanding of distributed systems and data replication Active TS/SCI with Single Scope (CI) Polygraph Required (Do not apply unless you have this) U.S. Citizenship required Ability to work on‑site in Bethesda, Maryland 2‑4 days/week including at classified facilities Preferred Qualifications: Experience with vector search and similarity queries Knowledge of OpenSearch or experience with multiple search platforms Familiarity with AI/ML workflows and embedding‑based search Experience with streaming data platforms and message queues Knowledge of data lakehouse architectures and technologies Experience with complementary data stores and caching systems Understanding of workflow orchestration tools Experience with containerization technologies (Docker) Knowledge of government data systems and security requirements (NIST 800‑171, CMMC) Experience in air‑gapped or restricted environments Experience with enterprise‑scale data solutions at petabyte scale Benefits: Competitive salary (~$200K based on experience) Annual performance bonus 401k with competitive company match Comprehensive health, dental, and vision insurance Clearance retention bonuses Work on high‑impact search problems at petabyte scale Professional development budget Collaborative startup environment with experienced technical leadership Direct impact on intelligence capabilities for national security #J-18808-Ljbffr

About Us: SwarmInt is a defense AI startup developing cutting‑edge computer vision and edge AI capabilities for military expeditionary forces. We strive to develop operator‑in‑the‑loop solutions for warfighters with active contracts supporting the Department of Defense and Intelligence Community. Job Description: We're seeking a Senior Elasticsearch Engineer to architect and optimize search infrastructure for a large‑scale enterprise data solution supporting our Intelligence Community customer. You'll design systems that enable real‑time search and retrieval across petabytes of data to support operational intelligence analysis and decision‑making. This role requires regular on‑site work at customer facilities in Bethesda, Maryland, including work in classified facilities (SCIF). Responsibilities: Design and implement high‑performance search infrastructure for large‑scale data ingestion and retrieval Architect indexing strategies for diverse data types including time‑series, geospatial, and vector embeddings Build and optimize real‑time data pipelines for continuous index population Performance tune queries and clusters for sub‑second response times on massive datasets Integrate search capabilities with AI/ML pipelines and analytics platforms Design data retention, archival, and lifecycle management strategies Deploy and manage search infrastructure in containerized environments and on‑premises deployments Work in restricted and air‑gapped network environments Mentor engineers on search architecture and optimization techniques Collaborate across teams on data architecture and integration patterns Required Qualifications: Bachelor's degree in Computer Science, Engineering, or related field 8‑12 years experience with Elasticsearch in production environments Deep understanding of search engine internals, indexing, and query optimization Experience designing and scaling distributed search clusters Strong programming and scripting skills for automation and tooling Experience building data ingestion pipelines Proficiency with cluster monitoring and performance analysis Understanding of distributed systems and data replication Active TS/SCI with Single Scope (CI) Polygraph Required (Do not apply unless you have this) U.S. Citizenship required Ability to work on‑site in Bethesda, Maryland 2‑4 days/week including at classified facilities Preferred Qualifications: Experience with vector search and similarity queries Knowledge of OpenSearch or experience with multiple search platforms Familiarity with AI/ML workflows and embedding‑based search Experience with streaming data platforms and message queues Knowledge of data lakehouse architectures and technologies Experience with complementary data stores and caching systems Understanding of workflow orchestration tools Experience with containerization technologies (Docker) Knowledge of government data systems and security requirements (NIST 800‑171, CMMC) Experience in air‑gapped or restricted environments Experience with enterprise‑scale data solutions at petabyte scale Benefits: Competitive salary (~$200K based on experience) Annual performance bonus 401k with competitive company match Comprehensive health, dental, and vision insurance Clearance retention bonuses Work on high‑impact search problems at petabyte scale Professional development budget Collaborative startup environment with experienced technical leadership Direct impact on intelligence capabilities for national security #J-18808-Ljbffr

A technology firm in Virginia is looking for a skilled backend developer to design and maintain scalable backend services. The ideal candidate has strong experience in Java development, proficiency with NoSQL and SQL databases, and hands-on experience with Spring Boot. This role involves cloud solutions implementation using AWS, ensuring application architecture adheres to best practices, and collaborating in cross-functional teams. Excellent communication skills are essential as you will work closely with product managers and front-end developers. #J-18808-Ljbffr

# **Our Privacy Statement & Cookie Policy****About the Role** As a Generative AI and Machine Learning Engineer, you will be responsible for supporting product development efforts that range from generative AI and machine learning application development and deployment to model development and monitoring, ML management and DevOps. You will be a contributing member of a Software Engineering team that supports production applications and also helping to develop new features and models. The role will interface with internal and external stakeholders and provide continuity of technical and data-exploration expertise to ensure we are delivering a workable solution that meets the customer requirements and technical capabilities. The position requires a proactive, mission-oriented person who strives to produce the best possible work for the customer. As a **Generative AI and Machine Learning Engineer**, you will:* Experiment and Develop: You will drive the end-to-end model development lifecycle, championing best practices to ensure reproducible research and well-managed software delivery.* Collaborate: Working on a collaborative cross-functional team, you will share information, value diverse ideas, and partner effectively with colleagues across the globe. You will elevate and mentor teammates. You will work closely with product teams to see your work integrated and deployed into production environments.* Deliver: With a sense of urgency and the desire to work in a fast-paced, dynamic environment, you will translate complex business problems into projects with clearly defined scope. Our problems are complex; our solutions are right-sized. You will be accountable for timely, well-managed deliverables.* Innovate: You will be empowered to try new approaches and learn new technologies. You will foster innovative ideas to solve real-world challenges. You will iterate on improvement rapidly with a mindset for failing fast and learning continuously from data.* Inspire: You will be a proactive communicator who is excited to share your work. You will be articulate and compelling in describing ideas to both technical and non-technical audiences. You will help lead the way in the adoption of AI across the enterprise.**About you** You're a good fit for the role of Generative AI & Machine Learning Engineer if you have:* Master's or Bachelor's in a relevant discipline. Relevant experience will be considered in lieu of a degree* Proficiency in Python* At least 3+ years practical, relevant experience building AI/ML products and applications and recent demonstratable experience using Generative AI technologies such as RAG patterns, ReAct, LangChain etc for performing document summarization, knowledge graphs, information extraction, or analysis.* Solid software engineering skills and experience* Experience as a technical leader, leading aspects of the following :aiding in the ideation with product stakeholders, comfort in dealing with uncertainty and ambiguity in problem statements and paths to success, breaking down complex problems into tractable components with iterative improvements, formulating research and development plans, coordinating and working with others, communication of progress and plans with varied stakeholders* Hands on coding experience on AI/ML projects in current role and experience in designing, developing, and implementing machine learning models and algorithms* Ability to obtain and maintain a U.S. national security clearance* U.S. Citizenship essential to comply with government contract/agency or department of Federal Government requirements**The following skills and tools are preferred, but not required*** 6+ years practical experience using AI and ML to solve diverse and/or ambiguous problems in academia or industry* Experience with AI Agent frameworks and patterns* Familiarity with common NLP use cases such as chatbot development and information retrieval (RAG), language translation, NER, summarization and topic modeling* Familiarity with LLM training and efficient finetuning (PEFT, LoRA, Quantization)* Experience with NLP/CV libraries such as PyTorch, TensorFlow, Scikit-learn, spa Cy, HuggingFace Transformers/Diffusers, OpenAI, LangChain, Semantic Kernel & OpenCV* Experience using Cloud solutions (AWS, Azure, etc.) for building and deploying applications* Experience in a fast-paced, agile environment managing uncertainty and ambiguity.* Proficiency in Python and experience delivering minimum viable products in a large enterprise environment* Experience developing libraries and APIs for others to use* Outstanding communication and data-driven decision-making collaboration with Product + Business Stakeholders* Diverse experiences across problem spaces, companies and cultures#LI-CS1* **Hybrid Work Model:** We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.* **Flexibility & Work-Life Balance:** Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.* **Career Development and Growth:** By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.* **Industry Competitive Benefits:** We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.* **Culture:** Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.* **Social Impact:** Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.* **Making a Real-World Impact:**We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection #J-18808-Ljbffr

Novateur stands for Innovation. We value creativity, vision, collaboration, and above all, ambition to innovate. Novateur Research Solutions is an R&D firm located in Northern Virginia, developing intelligent systems that push the boundaries of computer vision, AI, and large-scale learning. We are seeking Research Engineers to advance the state of the art in large-scale machine learning, spatiotemporal modeling, and multimodal reasoning. Our projects span object tracking, re-identification, geo-localization, chemical and biological defense, and scene understanding. You will work at the intersection of software engineering and applied research, turning novel algorithms into robust, deployable systems. Responsibilities: • Prototype and optimize algorithms in computer vision and machine learning. • Build scalable training and inference pipelines on cloud platforms (AWS EKS). • Perform data curation, model evaluation, and system integration. • Collaborate with academic and government research partners. Requirements: • BS or MS in Computer Science, Engineering, Applied Math, or related field. • Experience with PyTorch or TensorFlow and scalable model training. • Strong background in algorithms and software design. • Excellent communication and technical writing skills. • U.S. Citizen or Permanent Resident. Preferred: • Experience with geospatial data (PostGIS, GeoJSON, QGIS). • Familiarity with Kubernetes and distributed data systems. Why Novateur? Join a team that values creativity and initiative. Our engineers have freedom to innovate, collaborate with top researchers, publish research in major scientific conferences, and see their ideas deployed in impactful applications. Company Benefits: Novateur offers competitive pay and benefits comparable to Fortune 500 companies that include a wide choice of healthcare options with generous company subsidy, 401(k) with generous employer match, paid holidays and paid time off increasing with tenure, and company paid short-term disability, long-term disability, and life insurance. We offer a work environment which fosters individual thinking along with collaboration opportunities within and beyond Novateur. In return, we expect a high level of performance and passion to deliver enduring results for our clients.

Spry Methods is seeking an Information Systems Security Engineer (ISSE) to support secure, mission-focused information systems in a high-impact government environment. The ISSE will contribute to the design, implementation, and maintenance of cybersecurity controls across enterprise and mission systems, working closely with engineering, operations, and security teams to ensure systems meet federal cybersecurity and authorization requirements. What Your Day-To-Day Looks Like (Position Responsibilities): Support the identification of information protection needs and security requirements for information systems and network environments Contribute to the design and implementation of security architectures and security controls across system components Assist with security engineering activities throughout the system lifecycle, including requirements, design, implementation, testing, and operations Support the implementation of security measures that ensure confidentiality, integrity, availability, authentication, and non-repudiation Participate in Risk Management Framework (RMF) activities, including security control implementation, assessment support, and continuous monitoring Develop and maintain security documentation such as System Security Plans (SSPs), security control artifacts, POA&Ms, and ATO packages Assist in assessing the security impact of system changes, enhancements, and architectural modifications Support vulnerability management efforts, including reviewing scan results and coordinating remediation actions Collaborate with system engineers, network engineers, developers, and security stakeholders to support authorization activities What You Need to Succeed (Minimum Requirements): TS Clearance with SCI eligibility. 3 - 5 years of demonstrated experience supporting cybersecurity or information assurance activities within enterprise or mission systems Working knowledge of the NIST Risk Management Framework (RMF), FISMA and ATO processes Familiarity with common security assessment, vulnerability scanning, and monitoring tools (e.g., Nessus, NMAP, Guardium, WebInspect, or similar) Understanding of system and network security principles, including access control, boundary protection, and secure system design Experience supporting cloud security in environments such as AWS GovCloud, C2S, SC2S, and Microsoft Azure. Analyze logs using Splunk and AWS tools. Ability to document security controls and communicate technical information clearance Hands-on experience with vulnerability assessment and configuration tools such as Nessus, ACSA, and Splunk. Ideally, You Also Have (Preferred Qualifications): Certifications: CISSP, CISM, CASP+, CECAP, Security+, AWS Certified Security - Specialty, or other relevant certifications. Experience in a high-side or multi-enclave (U/S/TS) environment. Experience working with Agile development teams and CI/CD pipelines. Familiarity with NIST 800-53 Rev. 5 #CJ #J-18808-Ljbffr

Analytica LLC is seeking a highly skilled Senior MLOps Engineer to lead the design, development, and deployment of machine learning operations infrastructure for defense applications. The 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. 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 401(k) 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 Collaborate with testing teams to ensure ML systems perform effectively during military exercises and operational scenarios 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 Work with engineers, commercial vendors, government agencies, and academic partners to identify and implement cutting‑edge ML capabilities Advanced Technology Pipeline Development: 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 Develop automated testing and validation processes for ML models to ensure reliability and performance in operational environments Partnership Optimization & Process Development: 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 Develop vendor assessment criteria and integration protocols for AI/ML technologies and services Documentation & Knowledge Management: 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 Establish documentation standards for model versioning, experiment tracking, and deployment procedures 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 Ensure data interoperability standards compliance across diverse defense systems and platforms Responsible AI Implementation & Governance: 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 Prepare executive‑level reports and briefings on responsible AI implementation progress and recommendations Performance Monitoring & Evaluation: 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) Knowledge of government compliance requirements, security frameworks, and responsible AI principles Preferred Qualifications 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 Current security clearance or ability to obtain required clearance level Equal Opportunity Employment Statement 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 and provide reasonable accommodations to applicants and employees with disabilities in accordance with applicable laws. #J-18808-Ljbffr