Research and development engineer jobs in Ferndale, MD - 1,616 jobs

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 thermal and fluid simulation analysis of mining hardware, including power boards, heat sinks, and liquid-cooling modules. Perform component-level and system-level thermal design, ensuring optimal temperature performance and product reliability. Conduct CFD (Computational Fluid Dynamics) simulations to analyze airflow, pressure, temperature distribution, and flow resistance. Collaborate with electrical, mechanical, and PCB design teams to optimize cooling system layouts and improve heat dissipation performance. Define design requirements and provide technical guidance for selection of thermal components such as fans, heat pipes, cold plates, pumps, and radiators. Analyze thermal performance during product prototyping and validation stages, and provide design optimization recommendations. Support experimental validation to correlate simulation data with physical test results, ensuring model accuracy and reliability. Research and evaluate new cooling technologies, thermal materials, and architectures to improve product energy efficiency. Develop thermal design standards, best practices, and documentation to support product lifecycle management. Collaborate with global engineering teams to ensure consistent thermal design approaches and share technical learnings. How you will stand out Bachelor's or Master's degree in Thermal Engineering, Mechanical Engineering, Fluid Mechanics, or related field. Minimum 3-5 years of experience in thermal design or CFD simulation for electronics, servers, or data-center systems. Proficient in simulation tools such as Flotherm, Icepak, Fluent, or Ansys Mechanical for thermal/fluid analysis. Solid understanding of heat transfer, thermodynamics, and fluid dynamics principles. Experience in air-cooling and liquid-cooling system design, including component-level heat exchangers and integrated thermal modules. Familiar with materials, manufacturing methods, and mechanical structures related to heat sinks, vapor chambers, and cold plates. Ability to correlate simulation results with experimental data for performance validation. Strong analytical and problem-solving skills, with attention to accuracy and modeling detail. Excellent teamwork and communication skills to work closely with cross-functional R&D teams. Passion for innovation, energy efficiency, and continuous technical improvement in a fast-paced 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

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 leading tech company is seeking a Senior Software Engineer to enhance user experience through strategic design of APIs and systems. This role offers a competitive salary of $140,000-$200,000/year, and focuses on Kotlin Multiplatform development. Join a diverse team that champions innovation and flexibility while impacting users with learning differences. Apply to help shape a transformative product! #J-18808-Ljbffr

Clearance: TS/SCI Metric5 is seeking a highly experienced Senior DevSecOps Engineer to support the Cache team, leading efforts to design, automate, secure, and optimize mission‑critical cloud infrastructure in AWS GovCloud. The ideal candidate will have deep technical expertise in CI/CD pipelines, Infrastructure as Code (IaC), and security automation, with a proven track record of enabling secure and scalable solutions in compliance‑driven environments. This is a hands‑on engineering role requiring on‑site presence five days per week at the client location in Washington, DC. Responsibilities Architecture, Automation, and CI/CD Leadership Design and Implement CI/CD Pipelines: Lead the design, development, and maintenance of CI/CD pipelines (e.g., Jenkins, GitLab CI) to automate and accelerate application delivery, testing, and deployment into secure AWS environments. Infrastructure as Code (IaC): Architect, build, and manage scalable and resilient infrastructure using IaC tools such as Terraform or CloudFormation. AWS GovCloud Engineering: Design and maintain secure, compliant, and highly available systems in AWS GovCloud, ensuring adherence to FedRAMP and agency‑specific security requirements. Containerization & Serverless: Develop and manage containerized and serverless solutions using AWS Fargate, Lambda, and related services. System Optimization: Continuously monitor, troubleshoot, and optimize application performance, scalability, and cost efficiency. Security, Compliance, and Automation DevSecOps Integration: Embed security controls, vulnerability scanning, and compliance automation directly into CI/CD pipelines and infrastructure provisioning processes. Access Control and Monitoring: Implement and manage robust IAM policies, auditing mechanisms, and security posture assessments across environments. Compliance Adherence: Enforce FedRAMP and organizational security policies, ensuring full compliance of deployed infrastructure. Collaboration, Mentorship, and Problem Solving Cross‑Team Collaboration: Partner with development, cybersecurity, and operations teams to align DevSecOps strategies with mission goals. Technical Leadership: Provide mentorship to junior engineers, fostering a culture of automation, continuous improvement, and security‑first development. Incident Response: Lead root cause analyses and implement preventive measures to strengthen reliability and operational resilience. Required Qualifications 10+ years of DevOps or DevSecOps engineering experience with a focus on AWS services, CI/CD, and automation Expertise in AWS GovCloud and services such as Lambda, CloudFormation, Fargate, RDS, and ElastiCache Hands‑on experience implementing FedRAMP‑aligned or equivalent compliance frameworks Proficiency with Terraform or CloudFormation for IaC Strong scripting skills in Python, Java, or JavaScript/TypeScript Proven experience integrating security automation into DevOps processes Excellent communication and collaboration skills with both technical and non‑technical stakeholders Ability to lead complex technical initiatives and manage competing priorities Education & Certifications Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or a related field, or equivalent experience Preferred Certification: AWS Certified DevOps Engineer - Professional Years of Experience: 10+ years of relevant experience Salary: $150,000 - $160,000 Annually Clearance: US Citizen with TS/SCI Clearance Location: The candidate must be local to the Washington, D.C. area and able to report on‑site. About Metric5 Metric5 is a small business with big company benefits. We have a passionate team of smart, fun, caring professionals, and we are here for the long haul. Join our growing team in a business where your contributions make an enormous impact. Our organization offers a comprehensive employee benefits package, continuous professional development, with a best in class company culture that is enjoyable to work in and supports the growth of each of our professionals. Benefits Health & Dental Insurance with 100% of individual coverage paid for by the company Vision Insurance Life & Short Term Disability Insurance 401k with company match (employees are immediately vested) Paid Vacation 9 Paid Holidays per year (plus 2 paid floating holidays) Parental Leave Employee Bonuses Professional Development Reimbursement Program Tuition Assistance Program Metric5 is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Metric5 is an Equal Opportunity/Affirmative Action employer. All qualified candidates will receive consideration for employment without regard to disability, protected veteran status, race, color, religious creed, national origin, citizenship, marital status, sex, sexual orientation/gender identity, age, or genetic information. Metric5's commitment to diversity and inclusive selection practices includes ensuring qualified long‑term unemployed job seekers receive equal consideration for employment. Equal employment opportunity, including veterans and individuals with disabilities. PI279548995 #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

The Atlantic is looking for an innovative, analytical, and curious Senior Engineer. We aim to support a more thoughtful American public by powering and expanding our Pulitzer Prize winning journalism. Guided by our readers and informed by data, you will build products to amplify our impact and reach in this role. We pride ourselves on maintaining an inclusive and diverse culture that values continuous learning, elegant problem solving, supportive teamwork, and delivering value. Minimum Qualifications 6+ years of full-stack software development experience, including 3+ years of React Native development Professional experience with JavaScript/TypeScript and at least one backend language (Python preferred) Experience shipping and maintaining mobile applications on iOS and Android platforms Experience deploying and maintaining production systems using cloud infrastructure (AWS or GCP), containerization, and CI/CD pipelines Preferred Qualifications Experience with React, Django, GraphQL, and infrastructure tools (Docker, Terraform) Experience with native iOS (Swift/Objective-C) or Android (Kotlin/Java) development 2+ years in a technical leadership role (leading projects, mentoring, or architectural decisions) Experience designing scalable systems and working with AWS/GCP cloud services Background in media/publishing platforms with third-party integrations and data pipelines As an Atlantic Engineer, you will Hit the ground running to write, test, debug, document, and deploy code across our full stack, with a primary focus on mobile development in React Native. Partner with the Product and Design teams to collaboratively translate ambiguous requirements into well-scoped technical solutions. Participate in and contribute to code reviews, stand-ups, sprint planning, retrospectives, and technical documentation. Participate in on-call rotation (outside of standard business hours) to monitor, troubleshoot, and resolve production incidents, ensuring system reliability and uptime. Research and recommend technical solutions for future product features, evaluating new technologies and presenting recommendations with clear tradeoff analysis. Demonstrate technical leadership by mentoring engineers, establishing best practices, and helping maintain quality standards across the engineering department. The role will at times include night, early-morning, and weekend work. As an Atlantic Engineer, you are A talented programmer: You are proficient in modern full stack web development. You can design a RESTful or GraphQL microservice with proper error handling, wire it up to a data model, run the app locally in a Docker container, write a frontend service to consume the data, and deploy it to production. You write clean, maintainable code. Knowledgeable: You work effectively within established architectures and follow industry best practices. You stay current with security, accessibility, and performance standards. Flexible: Although you typically work with a suite of proven tools, you are curious and open to new solutions and industry trends. You can evaluate whether a new technology genuinely solves an existing problem. A strong communicator: You communicate promptly, clearly, proactively, and empathetically with teammates and stakeholders. You can explain technical concepts to non-technical colleagues, provide constructive code review feedback, and surface risks early. A pragmatic technologist: You gravitate towards the simplest viable solution that balances current and near-term needs. You value quality, but a desire for perfection doesn't draw your work off of the critical path. A critical thinker: You think creatively and innovatively when approaching your work. Given a product requirement, you can break it into technical tasks, identify dependencies and risks, and execute with minimal oversight. Adaptable: You are excited to work on a variety of projects of different sizes, using different technologies. You are agile, a quick learner, and highly motivated to perform at the highest level. A team player: You take initiative in offering help to team members, including pair programming and knowledge sharing. You encourage and support the development of your teammates. You value team camaraderie and thrive in an environment fueled by discussion and debate. An interest in the pursuit of truth: You recognize the fundamental importance of journalism and have a desire to see it thrive Salary minimum: $115,000; Salary maximum: $150,000 This is a Guild Position Apply here: ******************************************************************************************************** #J-18808-Ljbffr

A cybersecurity solutions firm in Washington seeks an experienced Cybersecurity Engineer. You will design and implement security controls, ensure compliance with regulations, and monitor for security anomalies. The ideal candidate has over 10 years of experience in cybersecurity, a Bachelor's degree in a relevant field, and holds a CISSP certification. Additionally, an active TS//SCI clearance is required for this position. This role offers an opportunity to work with cutting-edge security tools and frameworks. #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

Blue Energy's mission is to unlock energy abundance, energy affordability, energy security, and turn-key decarbonization by developing the fastest path to deploying new nuclear MWs at scale. We are utilizing shipyard manufacturing supply chains and techniques from offshore oil and wind to reduce the cost of nuclear plants by over 60% and the manufacturing timeline to 24 months. Blue Energy is a platform technology that makes use of the latest NRC-approved reactors and is in negotiations with existing nuclear and industrial sites, enabling a much faster regulatory pathway to deploy our first unit. With our innovative centralized shipyard manufacturing approach, we can put nuclear power on a cost-reduction learning curve akin to wind, solar, and lithium-ion batteries. Job Overview We are seeking a talented Senior Licensing Engineer - Safety to join our regulatory team and help bring our innovative nuclear power plant designs through the regulatory approval process. You will play a critical role in Blue Energy's mission by supporting the regulatory strategy, collaborating with the engineering team, and engaging with the NRC and international agencies. You will support critical NRC engagements, spanning from topical report submissions to licensing applications. You will lead key regulatory projects, directly contributing to submissions and managing external vendors used to support our regulatory efforts. Key Responsibilities Support VP of Regulatory and Chief Licensing Engineering in developing and executing Blue Energy's licensing strategy for nuclear power plant deployment. Perform and lead licensing work (e.g., topical report development and RAI response) collaboratively with Blue Energy licensing staff and contractors. Prepare, submit, and track regulatory filings, including Blue Energy's Construction Permit Application (CPA), and amendments to support the NRC licensing process. Develop topical reports and Safety Analysis Reports (SARs). Work closely with multidisciplinary teams to ensure alignment between regulatory requirements and engineering designs, site selection, and plant construction timelines. Interface with the NRC and international regulatory bodies to address regulatory questions, provide data, and manage requests for additional information (RFIs). Participate in regulatory meetings, audits, and inspections, representing Blue Energy's interests to ensure smooth and timely licensing. Stay up-to-date with evolving regulatory standards and frameworks, including NRC regulations (10 CFR), NUREGs, and relevant international guidelines, to anticipate their impact on Blue Energy's projects. Collaborate with engineering teams and vendors to develop and review documentation supporting regulatory submissions and design certification applications. Build and maintain relationships with regulators, policymakers, and external stakeholders to advocate for policy changes that enable more efficient nuclear power deployment. Qualifications Education: Bachelor's degree or higher in Science (Physics, Chemistry, etc) or Engineering (Nuclear, Mechanical, Electrical, or a related field). Experience: 8+ years of experience in regulatory affairs or licensing within the nuclear industry or a relevant governmental agency (e.g., NRC). Deep knowledge of NRC regulations, licensing processes, and safety standards. Experience with CP application processes; experience with advanced reactor designs is a plus. Strong ability to interpret complex regulatory requirements and translate them into actionable tasks. Excellent communication (both verbal and written) and project management skills, with a proven track record of working effectively with engineering, legal, and regulatory teams. Ability to manage multiple projects in a fast-paced startup environment. Preferred Qualifications Experience with international regulatory bodies (e.g., ONR, CNSC) and their nuclear licensing processes. Experience working on small modular reactors (SMRs) or other advanced reactor technologies. Professional Engineering (PE) license Experience working in a collaborative, high-growth startup environment where problem-solving and adaptability are crucial. We look forward to your application and helping foster an era of safe, clean, affordable, and abundant energy. Blue Energy is dedicated to building a diverse and inclusive workplace. If you're excited about this role but your experience doesn't perfectly align with every requirement, we encourage you to apply anyway. You might be the right candidate for this or other roles at Blue Energy now or in the future. #J-18808-Ljbffr

A major financial institution in Washington is seeking a Cloud Detection Engineer for its Cyber Security Operations team. This role requires over 8 years of experience in Cyber Security with specific skills in AWS security and detection engineering. The ideal candidate will focus on improving detection capabilities and reducing alert fatigue using tools like Splunk, collaborating with various teams to protect the organization's assets. This position offers a competitive salary range and industry-leading benefits. #J-18808-Ljbffr

A leading technology company is seeking a Senior Engineer to join their Platform Engineering team in McLean, Virginia. The role involves designing and implementing solutions for their Kubernetes platform, automating infrastructure, and collaborating with diverse teams. Applicants should have at least 5 years of experience in infrastructure, a Bachelor's degree in a related field, strong Kubernetes knowledge, and excellent communication skills. This role supports federal contracts, requiring U.S. citizenship. Competitive compensation and flexible work arrangement offered. #J-18808-Ljbffr

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

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM Anduril's Lattice software platform integrates together many sensors into a single cohesive view of the world, providing needed context for our users. AI Engineers on Anduril's Frontier AI team build edge-compatible, generative AI systems into the Lattice software platform to provide features and products that improve autonomy and reduce cognitive burden on the warfighter. Specific applications include but are not limited to automating mission planning, battle-space understanding, voice-control of assets, and enabling higher-levels of autonomy. WHAT YOU'LL DO Distill and fine-tune transformer architectures so they can be deployed onto edge devices or compute denied environments Propose and prototype LLM-based Agentic systems that help solve real world problems, leveraging the latest state-of-the-art techniques in the field Develop and maintain mission relevant benchmarks Work cross-functionally with different business lines across Anduril to help discover and scope new research problems REQUIRED QUALIFICATIONS BS in Computer Science, Machine Learning, Electrical Engineering, or related field 5+ years experience developing and benchmarking ML algorithms Experience pushing and maintaining ML algorithms in production Strong Python skills with experience in ML frameworks such as PyTorch Eligible to obtain and maintain an active U.S. Secret security clearance PREFERRED QUALIFICATIONS Experience fine-tuning transformer-based model Experience deploying deep-learning based models to edge devices or air gapped environments Prior experience in defense tech or start-up US Salary Range $220,000 - $292,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Healthcare Benefits US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you. UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents. IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents. Additional Benefits Income Protection: Anduril covers life and disability insurance for all employees. Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs. Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting. Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching. Additional work-life services, such as legal and financial support, are also available. Professional Development: Annual reimbursement for professional development. Commuter Benefits: Company-funded commuter benefits based on your region. Relocation Assistance: Available depending on role eligibility. Retirement Savings Plan US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options. UK & IE Roles: Pension plan with employer match. AUS Roles: Superannuation plan. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. To view Anduril's candidate data privacy policy, please visit ********************************************** #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