Research and development engineer jobs in Dale City, VA - 1,872 jobs

Agentic AI Machine Learning Engineer The Opportunity As an experienced machine learning engineer, you understand good software is more than just a good user experience. To compete in today's technical landscape, mission-oriented machine learning solutions must be architected, designed, and built to handle fast-moving data to seamlessly scale with infrastructure based on system usage and to expand based on evolving mission requirements. We're looking for an engineer like you to create artificial intelligence (AI) and machine learning (ML) enabled solutions that help solve our toughest challenges facing the Defense and Intelligence sectors. On our team, you'll design, create, and implement complete AI systems that will transform client operations, increase data accessibility, and optimize AI and ML systems. You'll ensure that your team's solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements. Additionally, you'll deepen your skill set in areas like software engineering, machine learning operations (MLOps), and software deployment and integration into a variety of different mission environments. Ready to transform the Defense and Intelligence sectors with software systems to aid data accessibility and AI and ML operationalization? Join us. The world can't wait. You Have 3+ years of experience as a ML engineer and building production-grade ML solutions, including work involving Large Language Models (LLMs), agents, or complex automation frameworks 3+ years of experience working within data science or data research in a professional or academic environment and training or deploying models across multiple modalities of data 3+ years of experience working in cloud environments, including AWS and Azure 2+ years of experience deploying and integrating production-grade ML models using tools such as Docker and Kubernetes Experience with LLMs, Deep Learning (DL), and Reinforcement Learning (RL) and with tools and AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex Experience connecting Agents to APIs, Cloud platforms, or databases Experience evaluating architectural tradeoffs and designing robust service-based software applications for scalable use Experience with MLOps, GitOps, and CI/CD tooling Secret clearance Bachelor's degree Nice If You Have Experience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, and vLLM Experience with client engagements, client-facing project work, and business development Experience with project work in deep learning, computer vision, NLP, or signal processing Experience deploying and managing data brokering solutions, including Kafka, Red Panda, Confluent, and other related services Ability to adapt in a rapidly changing environment Possession of excellent verbal and written communication skills Possession of excellent interpersonal, analytical, problem-solving, and organizational skills TS/SCI clearance Master's degree Clearance 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. If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination 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. #J-18808-Ljbffr

Founded 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. Job Description: The Hivemind Solutions Test department (HMS Test) is a group on a mission to build comprehensive and robust testing infrastructure that supports the development and deployment of the world's best AI pilot and most reliable aircraft. Hivemind Test is dedicated to ensuring the highest level of quality, reliability, and performance in our Hivemind software ecosystem. This ecosystem includes software for AI behaviors, embedded systems, system integration, and more. Our group is charged with validating and verifying our Hivemind software meets reliability standards and is operationally ready to meet mission objectives on aircraft, such as real-world jets, Shield AI's V-BAT and beyond. As a HIL Integration Engineer, you will be at the epicenter of integration and testing for deploying our Hivemind Software and AI Pilot on various aircraft platforms. You will be helping us build Hardware-In-The-Loop infrastructure to execute the integration and testing of SW and HW systems throughout simulation and on-ground test campaigns. Our test campaigns are hands‑on and fast paced, depending on high-fidelity simulation hardware to ensure high-quality flight software releases. Your efforts will be rewarded with successful flight test events, and your contributions will play a key role in developing an AI autopilot, enabling intelligent aircraft, historic aviation firsts and fulfilling our mission to protect service members and civilians the world over! What you'll do: Design, build and maintain Hivemind Hardware-in-the-loop infrastructure including mechanical design, electrical integration and building fixtures with lab technicians. Lead sensor integration into Hivemind targeted platforms. Create software support utilities and automated test tools for Hardware-In-The-Loop test fixtures and simulated flight testing (Python and/or C++). Hands‑on testing, integration and debugging during on‑ground and in‑flight test campaigns. Work with Hivemind engineering to test and integrate software and hardware systems preparing for simulation milestones and flight tests. Become a subject‑matter‑expert for running Hivemind tests on our Hardware-In-The-Loop and Vehicle-In-The-Loop systems. Run simulated flight tests to validate Hivemind + aircraft subsystems. Support on‑site flight testing that involves system configuration, running aircraft software, and data post‑analysis. Contribute to and execute test plans to validate Hivemind SW and HW systems. Drive continuous improvement in testing methodologies, tools and rapid prototyping. Required qualifications: 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. Hands‑on mechanical and electrical engineering skills. Proficiency in Python (or C++). Experience in robotics, small UAS, or related hands‑on engineering projects. Strong analytical, problem‑solving, and debugging skills. Excellent communication and collaboration skills, with the ability to work effectively with cross‑functional software, hardware and mechanical engineering teams. Adaptability and a willingness to learn new technologies and methodologies quickly in a fast‑paced environment with a bias towards action. The ability to obtain and maintain a SECRET Clearance. US citizenship is required as only US citizens are eligible for a security clearance. Preferred qualifications: Exposure to CAD software (i.e.. NX, Solidworks). Experience rapid prototyping, building and/or flying small aircraft, such as quadrotor drones, robotics or similar. FIRST Robotics experience. Experience in the robotics, aerospace, space or defense industries, working with complex systems and adhering to stringent standards and regulations. Experience working with software management tools (Git, AzureDevOps/Jira, Artifactory) helpful. Active SECRET clearance. $140,000 - $210,000 a year Full‑time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part‑time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. 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. #J-18808-Ljbffr

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

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

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

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

At Expedition Technology (EXP), we work on real-world problems whose solutions will make an immediate impact on national security. If you desire an opportunity where you will apply your deep learning and software engineering expertise to challenging problems with no previously known solutions, EXP is the place to be! Currently, we are seeking an experienced Deep Learning and Software Engineer who will work with a dynamic team that is delivering novel solutions to our Intelligence Community. We're looking for someone who has an in-depth understanding of DL architectures such as YOLOv8, Faster R-CNN, DETR, and other state of the art object detection models. The candidate should feel comfortable developing and testing end-to-end deployable systems; from sourcing and curating datasets, building, training, and evaluating models, to productizing final deliverables. As a DL Software Engineer, you will develop ML orchestration pipelines for novel Geospatial Object Detection problems, apply Sim-to-Real ML dataset techniques, design and implement custom algorithms and evaluation metrics, as well as produce technical reports. We're looking for someone who has experience in developing robust deep learning models against different types of ML-driven adversarial attacks. The candidate should feel comfortable developing novel methods and algorithms, applicable to electro-optical (EO) imagery, for the detection, explanation, and mitigation of a wide range adversarial attacks on overhead detection models that operate in close to real-time. If you feel fulfilled by rolling up your sleeves and thinking about hard problems, building new deep learning algorithms from scratch, and working in a fast paced but scientifically rigorous environment, we want to hear from you! Responsibilities include: Researching academic literature to keep abreast of the latest theories, techniques, and tools Working in a team to develop deep learning architectures and models for novel applications Implementing solutions in Python (PyTorch) Delivering high-quality, carefully tested software Participate in team brainstorming sessions to shape innovative solutions Required Skills and Experience: US Citizenship - must have an ACTIVE Top Secret / SCI Clearance An active Top Secret/SCI security clearance MS and 3+ years of experience or BS and 5+ years of experience in a technical field such as Computer Science, Electrical Engineering, Physics, Statistics, or Applied Mathematics Proven proficiency in PyTorch, TensorFlow, or other modern machine learning framework Solid theoretical understanding of deep neural networks as well as their applications, particularly in computer vision and object detection Proven experience architecting, training, testing, and deploying machine learning solutions within an AWS environment Experience using collaborative source code management tools (Git) Strong technical presentation and writing skills Strong software development skills to include object-oriented design and implementation in languages like Python Strong practical experience developing in both object oriented and procedural languages Experience with standard data structures, algorithms, and application organization Experience with the full software development lifecycle, CI/CD, agile/scrum methodologies Experience with software testing (unit, integration, functional, etc.) Exposure to software containerization with Docker, Linux, and cloud development Clearance Required: Top Secret/SCI Who is Expedition Technology? Expedition Technology (EXP) designs, develops, and delivers innovative, advanced signal, image, and multi-INT solutions for the defense and intelligence communities. We leverage advanced algorithms, platforms, and technologies to solve our customers' most complex, demanding, and urgent C4ISR challenges. Our culture promotes individual growth and opportunity, prioritizes a collaborative team spirit, and invites the intellectually curious to creatively solve challenging problems. Headquartered in Northern Virginia's high-tech corridor, EXP is a rapidly growing, privately held, employee-owned company that pushes the boundaries of what is possible every day. Interested in joining our team? Let's explore together. To learn more about EXP and discover why we are an award-winning workplace, visit ourweb siteand follow us on LinkedIn. Join Our Team and Enjoy Exceptional Benefits! Expedition Technology (EXP) offers a flexible, self-directed benefits package that is designed to fit your individual needs.Here's a glimpse of the outstanding benefits you can enjoy when you join our team: Company-paid medical, dental, and vision insurance Generous Time Off: Enjoy 12 paid holidays, up to 33 days of PTO, and generous sick leave Robust 401(k) Plan: Benefit from up to a 12% company contribution, including a 3% safe harbor, 6% match, and up to 3% additional as a form of profit sharing. Student Loan Repayment: Take advantage of our unique option to reallocate a portion of your 401(k) match funds to repay student loans, helping you achieve financial freedom faster. Paid Parental Leave: Six weeks of paid leave for the primary caregiver and 2 weeks of paid leave for the secondary caregiver for you to bond with your new family member. Tuition Reimbursement: Pursue further education with up to $5,250/year available to support your continuous learning and growth. Referral Bonus Program: Earn rewards for bringing talented individuals into our team. Exclusive Entertainment Perks: Enjoy free tickets to sporting events, theater, concerts, and more, adding fun and excitement to your life. Onsite Amenities: Stay fit and healthy with our free, onsite fitness center, active workstations featuring treadmill and bike desks, and enjoy our onsite cafeteria with reduced-cost options. Inspiring Work Culture: Thrive in a collaborative, creative, and supportive culture where you are encouraged to push boundaries, take risks, and enjoy the rewards. Join us and be part of a team that values your well-being and professional growth. Apply today and take the first step towards a fulfilling career with us! EXP is proud to be an Equal Opportunity Employer that believes a diverse range of talent creates an environment that fosters creativity and innovation . All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, genetic information, or protected veteran status.

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.

# **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

Kimley-Horn's DC office is seeking a Substation Physical Engineer with 10+ years of experience to join their Power Delivery team! This is not a remote position. Responsibilities Perform conceptual and detailed HV and MV Substation Physical/Electrical design for utilities/substations (including basic layout, electrical arrangement, one line, three-line drawings, plan-section, grounding, AC and DC system drawings) Perform engineering studies and calculations Perform Quality Control reviews on substation physical design projects Assume the role of technical lead on projects with limited guidance Create and review bill of materials for substation physical projects Develop and review proposals, and scopes of work for smaller substation physical projects Plan and lead client meetings (or meeting sections) relating to physical design, as required Provide support for continued professional development of less experienced engineers in team, including technical guidance, and recommending training needs to the group Possess excellent communication skills and the ability to interact with the internal teams and clients to meet project objectives Develop leadership skills in preparation for future roles on the team Qualifications 10+ years of relevant engineering experience in Substation Physical Design Professional Engineering (P.E.) License (or ability to obtain within 12 months) Enjoys working in a fast-paced environment on multiple projects Proficiency in using industry-standard design software such as AutoCAD Experience with grounding studies/lightning protection and lighting studies Experience with bus calculation Experience with CDEGS Base Salary Range: $135,000- $150,000 Eligible for performance-based bonus compensation #J-18808-Ljbffr

The goal of a 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 Donovan and Thunderforge. 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. You will: 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. Ideally You'd Have: 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 Nice to Haves: 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 Familiarity with ML evaluation frameworks and agentic model design Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$208,000-$300,000 USDPlease reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of Washington DC, Texas, Colorado is:$187,000-$270,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. 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 Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . 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 privacy policy for additional information.

Company - Our client is a leading cybersecurity services provider, trusted by some of the most recognized brands in the U.S. They partner closely with Fortune 500 enterprises to deliver cutting-edge identity, cloud, and security solutions. Known for their technical excellence and white-glove client service, they are consistently recognized as one of the top MSSPs in North America. Job Title - Senior Identity (Ping) Engineer Location - Tysons, Virginia (Hybrid - onsite 3 days per week) Role Type - 6-Month Contract (1,040 hours) Must Have Skills: 7+ years of Identity & Access Management (IAM) engineering and architecture experience 5+ years of hands-on experience with the full Ping Identity suite across enterprise and/or CIAM use cases Deep expertise with PingFederate, PingID, Ping Directory, and PingOne (Enterprise + Customer) Proven experience designing and implementing modern passwordless authentication (FIDO2/WebAuthn/Passkeys) at enterprise scale Expert-level understanding of IAM protocols (SAML, OAuth 2.0, OIDC, SCIM, LDAP) and demonstrated ability to lead large-scale Ping deployments Responsibilities and Job Details: Serve as the Ping Identity SME and platform owner across a large financial services enterprise Architect, design, deploy, and scale Ping Identity solutions for both workforce SSO and CIAM use cases Perform hands-on configuration across the Ping suite supporting on-prem, private cloud, and SaaS (PingOne) architectures Design and implement identity workflows using PingOne DaVinci or similar orchestration tools Lead enterprise-wide rollout of passwordless authentication (FIDO2/WebAuthn/Passkeys) Provide advanced troubleshooting and root cause analysis across Ping environments Drive integration with Azure Identity (Entra ID) and other IdP/IdM technologies Manage multiple concurrent IAM projects, meeting key milestones and delivering required documentation Communicate effectively with technical and executive stakeholders Scripting skills in Python, PowerShell, or Groovy are highly desired for automation Candidate must commit exclusively to this contract for its duration

Job ID 2025-0034 # Positions 1 Experience (Years) 3 Category Engineering & Air Safety - Staff Engineer External Description Aviation Safety Staff Engineer (Design, Certification, MMEL and Operations) The Air Line Pilots Association, International (ALPA), the largest airline pilot union in the world and the largest non-governmental aviation safety organization in the world (representing over 80,000 pilots at 42 U.S. and Canadian airlines) seeks an experienced Staff Engineer for our Tysons (McLean), Virginia office. The Staff Engineer provides staff coordination and liaison with government, industry, and professional stakeholders on behalf of the Air Safety Organization and other Association committees, MECs, and National Officers, as assigned by the department Director or Manager. Their specific focus is in the policy areas of Part 25 aircraft design/certification, as well as Part 121 continuing airworthiness, operations specifications, and aircraft maintenance, including master minimum equipment list (MMEL) policies and procedures. They provide coordination and technical support to the Air Safety Organization, accident and incident investigations, Federal Aviation Administration (FAA) and Transport Canada (TC) pilot certificate enforcement action cases, and other safety investigations in the areas of aircraft design, manufacturing, and continuing airworthiness/maintenance. The Staff Engineer effectively represents the Association and the department, interacting with government and industry safety officials on a routine basis, advocating on behalf of the Association's priorities from a policy perspective. They are also routinely tasked to use their engineering training and experience to analyze Airworthiness Directives, Petitions for Exemption, and Special Conditions to develop recommended action by the association. In coordination with relevant committees and staff members, they develop and coordinate written communications to membership, government, and industry groups outlining ALPA positions on a wide variety of operational safety issues. While this position requires engineering expertise, it is a policy position. The staff engineer will be routinely asked to translate engineering information into summaries for department management and leadership. Local, national, and international travel: up to 25%. ALPA is an equal opportunity employer that is committed to diversity and inclusion in a safe workplace. We prohibit discrimination, harassment and harmful behavior of any kind based on race, color, sex, religion, sexual orientation, national origin, gender identity, caste, disability, genetic information, pregnancy, or other protected characteristics as outlined in federal or provincial laws. We highly value everyone and all are encouraged to apply, including minorities, veterans, and people with disabilities. This position is covered by a collective bargaining agreement. ALPA is a member-driven, staff supported, union with two internal professional unions. Minimum Requirements: Bachelor's degree in relevant area, e.g., Aerospace or Aeronautical Engineering or other related engineering discipline, from an accredited college or university required. Three (3) years of related experience in the civilian aviation industry, five (5) or more strongly preferred. Experience in U.S. and/or Canadian Aviation Regulations (FARs and CARs), national and international aviation standards, and aircraft design standards required. Familiarization with and participation in policy activities that include the Aviation Rulemaking Advisory Committee (ARAC), the Canadian Aviation Regulation Advisory Council (CARAC), and Aviation Rulemaking Committee (ARC) processes is strongly preferred. A pilot's license with an instrument rating and/or special knowledge or applicable expertise in the aviation industry preferred. Other aviation industry experience may be substituted for the pilot's license. Experience in Part 25 airplane design/certification and/or Part 121 operations and continuing airworthiness, as well as airplane maintenance, is required. FAA Airframe and Powerplant certification (A&P license) and/or equivalent experience with maintenance and/or large aircraft manufacturing preferred. Experience with NTSB and/or TSB accident investigation processes preferred. Strong technical writing skills are required, and public speaking skills beneficial. Excellent interpersonal and communication skills, oral and written, for effective interaction with all levels of contacts, internal and external. Ability to collaboratively work in multi-disciplined team Must be a self-starter with professional maturity and sound judgment, capable of independent decision-making and to be proactive in identifying and responding to issues and problems. Must possess exceptional time management skills; be able to work in a fast-paced, multi-tasking environment; and transition easily between projects. Software: Microsoft Word, Outlook, Excel, and PowerPoint. Physical Demands: Note: The physical demands described herein are characteristic of those that must be met to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals to perform the essential physical activities of this position described below. Constantly operates a computer/smartphone/tablet. Regularly required to maintain a stationary position, move about the office and the local metropolitan area, determine what others have said or written, and converse with others and exchange accurate information. Regularly required to sit, stand, bend, reach, and move about the office and travel (locally, nationally, and internationally). Also includes occasional bending, stooping, squatting, and/or pushing and pulling or moving, e.g., to pack, unpack, and/or move cases. Occasionally required to move, raise, reach, and/or retrieve binders, books, boxes, and files up to ten (10) pounds (lbs.). While on travel, could be responsible to move luggage weighing as much as 50 lbs. (Assistance may not always be available.) ALPA offers competitive salaries with terrific benefits, including: 401k Plan with Non-Elective Employer Contribution of 12% plus 2% into a Market-Based Cash Balance Plan after 180 days of employment. No employee contribution required! The 401k plan includes a Roth option and 4-year vesting schedule. Generous health care benefits on day one - PPO, Kaiser (where available), and a High Deductible Health Plan which includes coverage for medical, dental, and vision benefits for employee, spouse, and/or dependent children; 15 days paid vacation and 13 holidays per year plus 2 volunteer days per year; Generous sick and bereavement leave; Competitive parental leave; Company-paid premiums for disability and life insurance; Flexible Spending and Health Savings accounts; Retiree health plan; Education Assistance Program; and, Optional benefits including pet insurance, excess life insurance, legal plan, and qualified transportation fringe benefits, where available. Partial remote work opportunities. PROJECTED ANNUAL SALARY RANGE: $ 96,027.00 - $ 137,179.00 Relocation not provided. Sponsorship not available for this position. PM19

Job ID 2025-13063 # of Openings 1 Category Intelligence Benefit Type Salaried High Fringe/Full-Time 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. LMI is seeking a Advanced Analytics Team Lead to support an Intelligence Community client. This position will be located in Washington, DC or Reston, VA. Responsibilities Responsible for overseeing a team of data engineers and data scientists to modernize data pipelines and data warehouses, while delivering business analytics support through machine learning, statistical analysis, causal analysis, and modeling and simulation. Lead and collaborate with a team of data engineers, data scientists, data analysts, and business/functional SMEs to understand processes, define analytical requirements, and communicate results. Modernize and maintain data pipelines, data warehouses, and related infrastructure to ensure scalable, reliable, and efficient operations. Frame and scale data problems; integrate, consolidate, and analyze complex datasets for business analytics. Build and validate models using machine learning, simulation, causal, rule-based, and statistical methods. Transform data into visualizations, dashboards, and analytic narratives that support storytelling and decision-making. Provide timely analysis and reporting in a fast-paced, client-focused environment. Deliver technical and process consulting through management of standard consulting projects. Advise non-technical stakeholders on interpreting and applying data products, dashboards, and reports. Manage relationships with key stakeholders to ensure alignment of analytical solutions with organizational goals. Contribute to the organization's data engineering and advanced analytics strategy, roadmap, and data governance practices. Oversee project timelines, deliverables, and resources, ensuring completion on time, within budget, and to quality standards. Stay current with advancements in data engineering, analytics, and data science; mentor junior team members across both DE and DS disciplines, providing technical guidance to build overall team capability. Qualifications Education: Bachelor's degree in data science, mathematics, statistics, economics, computer science, engineering, or a related quantitative discipline is required. Advanced degree (master's or Ph.D.) in a relevant field is preferred. Experience: 5-10 years of relevant experience, with at least 2 years leading data engineering or data science teams as a technical lead or task lead. Proven track record of managing and delivering complex data pipelines and analytical projects. Hands-on experience developing with Python and SQL for data pipelines, data integration, and analytics. Technical Skills: Proficiency in Python and SQL is required. Strong working knowledge of relational databases; preferred experience includes database optimization, schema design (e.g., star/snowflake), and linking analytic/visualization products to database connections. Experience with ETL/ELT processes, pipeline development, and data integration methods. Familiarity with data science libraries in Python. Experience building data visualizations, dashboards, and lightweight applications to communicate findings and drive business impact. Experience displaying analytical results using platforms such as Tableau, Streamlit, Qlik, Power BI, RShiny, Plotly, or D3.js. Tableau and Streamlit preferred. Additional experience with programming languages such as Java, R, or MATLAB is a plus. Familiarity with data engineering and data science methods including data transformation, feature engineering, predictive analytics, and (preferred) unstructured text/NLP. Leadership and Interpersonal Skills: Superior communication skills, both oral and written, with the ability to convey complex data engineering and data science concepts to non-technical stakeholders. Demonstrated ability to mentor and develop junior team members across both DE and DS disciplines. Strong stakeholder management skills, with the ability to build and maintain relationships across the organization. Proven ability to balance technical modernization efforts with stakeholder-facing analytics delivery. Ability to work in a fast-paced, solutions-oriented environment. Strong analytical and problem-solving skills with a focus on practical outcomes. Detail-oriented with a commitment to delivering high-quality work. Ability to work both independently and as part of a collaborative team. This position requires an active TS/SCI security clearance with polygraph. Applicants with TS/SCI who are eligible for polygraph are encouraged to apply and will be sponsored for upgrade. LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Need help finding the right job? We can recommend jobs specifically for you! Click here to get started.

A leading defense technology company located in Washington, D.C. is seeking an AI Engineer to enhance military capabilities with innovative AI systems. The successful candidate will be responsible for fine-tuning transformer architectures and developing systems to address real-world military challenges. The role requires strong experience in machine learning and Python, along with a bachelor's degree in a relevant field and the ability to maintain a U.S. Secret security clearance. Competitive salary range is $220,000 - $292,000, accompanied by comprehensive benefits. #J-18808-Ljbffr

Machine Learning Engineer The Opportunity: Do you enjoy creating innovative solutions to complex challenges while working within a community of dynamic technology professionals? As an experienced data professional, you know that machine learning is critical to understanding and processing massive datasets. We need your technical expertise to support federal healthcare. As a machine learning engineer, you'll be responsible for breaking down use cases, designing, and implementing complex system modules, interfaces, and features. You'll leverage your technical expertise in AI. You'll develop new robust, secure, and performant production-grade software. You'll use your communication skills to work with a team to build, test, and operate system capabilities. You'll leverage your expertise with full-stack web application development, experience with software design and implementation on large codebases, and learn new languages, technologies, and codebases quickly. You will apply your expertise with AI - GenAI, Agentic AI, and LLMs,and work independently while collaborating with a team to build complex features, integrations, and modules . Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks. If you have the drive to solve real-world challenges and define ML strategy for healthcare in federal government, there's a place for you here. At Booz Allen, you'll make a difference with us, and, in return, we'll invest in your future. Join us. The world can't wait. You Have: 2+ years of experience with machine learning engineering, or postdoctoral research for machine learning Experience with natural language processing and language models Experience with RAG and Generative AI techniques Experience with programming in Python, Java, or C++ Secret clearance Bachelor's degree Nice If You Have: Experience with developing software architectures with containerization tools, including Docker and Kubernetes Experience with machine learning, including linear, reinforcement learning, tree based, or deep learning-based methods and regularization approaches Experience with databases, including SQL Experience with software development, including API development or database management, and model deployment and usage with Javascript frameworks, including React, Angular, or Node.js Knowledge of AWS, Azure, and GCP Ability to work in a Linux environment with Bash Scripting Master's degree Clearance: 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 $77,600.00 to $176,000.00 (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. If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination 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. #J-18808-Ljbffr

A technology firm specializing in Bitcoin mining is seeking a skilled PCB layout designer in Washington, DC. The role involves high-speed PCB design and collaboration with hardware teams. Candidates must have a degree in Electrical Engineering and at least 3 years of experience. Strong skills in Cadence Allegro, SI, and PI concepts are essential. This position offers opportunities for growth and competitive benefits. #J-18808-Ljbffr

A financial technology company in San Francisco is seeking a Staff Machine Learning Engineer to lead the development of sophisticated AI and ML systems. You will be responsible for designing robust frameworks, implementing new product features, and mentoring team members. The ideal candidate should have over 8 years of experience and expertise in Python and machine learning. The role offers competitive pay and various benefits, including health plans and unlimited PTO. #J-18808-Ljbffr