Manufacturing engineer jobs in Fair Oaks, VA - 1,468 jobs

Looking for an opportunity to make an impact? At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business. Your greatest work is ahead! Leidos is seeking a talented Manufacturing Engineering Manager to lead the Manufacturing Engineering (ME) team in delivering exceptional results within our Mechanical Manufacturing Facility (MMF) in Huntsville, AL. This leader will oversee a diverse group of Manufacturing Engineers supporting CNC machined components, precision assemblies, tooling and fixture development, MBOM creation, Solumina MES plans, and documentation maturity across the shop. The ME Manager partners closely with the CNC Programming, Weld Engineering, Quality, Production, and Program teams to ensure fully aligned and efficient daily operations. The ideal candidate is a proactive, structured, and a strong communicator who excels in aerospace/defense manufacturing. They bring clarity and accountability to engineering workflows, strengthen cross‑functional alignment, and mature processes that improve production quality, cost, and delivery. If this sounds like the kind of environment where you can thrive, keep reading! Leidos Defense Systems provides innovative solutions across land, sea, air, space, and cyberspace missions. Our team is solving the world's toughest security challenges for customers with “can't fail” missions. Join us and help engineer the future. To explore and learn more, click here! Primary Responsibilities Lead, mentor, and develop a team of Manufacturing Engineers (intern to senior levels), ensuring strong execution, ownership, and cross‑training. Establish accountability, workload management accountability, and clear expectations for both daily support and long‑term initiatives. Build a culture of proactive communication, structured planning, and continuous improvement. Oversee creation and release of complete, accurate and manufacturable engineering packages, including MBOMs, MES process plans, work instructions, and tooling/fixturing requirements. Ensure consistent application of GD&T, manufacturability considerations, and process controls. Champion standardization and documentation maturity to support repeatability, quality, and operational efficiency. Partner closely with the CNC Programming Manager to ensure alignment on process planning, tooling requirements, and shop floor readiness. Collaborate with Weld Engineering, Production Control, Quality Engineering, Supply Chain, and Program Management to ensure manufacturability, schedule adherence, and technical clarity. Drive CI initiatives such as 5S, Lean, VSM, Kaizens, and CQI to improve safety, quality, cost, and delivery. Support RCCA efforts with structured problem‑solving methods, ensuring durable corrective actions and reduced repeat issues. Strengthen front‑end planning and engineering integration to support production readiness. Eliminate single points of failure by maturing documentation, cross‑training, and standard work across the ME organization. Support proposal development with accurate ME labor estimates, tooling/fixture scope, and manufacturability inputs. Manage team schedules, workloads, priorities, and stakeholder expectations. Basic Qualifications Bachelor's degree in Mechanical, Manufacturing, Industrial Engineering or related field. Minimum of 5+ years manufacturing engineering experience, including 3+ years in a formal leadership, supervisory, or technical team‑lead role. Strong technical understanding of machining, assemblies, tooling/fixture development, and process planning. Proven ability to implement and mature standard engineering processes and documentation. Excellent communication, leadership, and problem‑solving skills. Reside in or be willing to relocate to North Alabama. Must be a U.S. citizen and meet the eligibility requirements to obtain and maintain a Secret clearance. Preferred Qualifications Experience in aerospace/defense manufacturing. Knowledge of Lean, Six Sigma, PFMEA, or CI methodologies. Working knowledge of ISO/AS9100 quality systems. Experience with Solumina, Costpoint, Solidworks, and Windchill EPLM. Strong cross‑functional experience with machining, welding support, production, and quality organizations. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting December 11, 2025. For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range Pay Range $92,300 - $166,850. The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit *************** Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ************************************ Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment‑related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment‑related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at *****************************. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. #J-18808-Ljbffr

Your growth matters to us - explore our career development opportunities. BE EMPOWERED TO SUCCEED Connect with others in our people-first culture and enhance our collective ingenuity. SUPPORT YOUR WELLBEING Learn how we'll support you as you pursue a balanced, fulfilling life. YOUR CANDIDATE JOURNEY Discover what to expect during your journey as a candidate with us. Supply Chain AI Engineer and Data Scientist The Opportunity: As an analytics professional, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artifi cia l intelligence (AI). If you care about moving a mission forward as much as advancing the field of data science, this is the opportunity for you. Your analytics, data science, AI, and machine learning knowledge and expertise, coupled with an original approach to your work, will help clients and stakeholders make sense of their data and encourage actionable results. We're looking for someone like you to steer complex data exploration and analytics projects through your experience with programming languages such as SQL, R, and Python, operationalizing models, containerization, data architecture, and cloud computing platforms. As an advanced data scientist and researcher on our team, you'll learn and apply innovative methodologies to make a real-world impact on projects. You'll grow your skills in data science, AI, machine learning operationalization processes, and predictive modeling, and shape the future of analytics through a variety of means such as patents, peer-reviewed papers, major conference presentations, and code submissions. We'll keep you sharp and moving forward in your career, with access to online courses and the latest tools and methods, and opportunities to develop industry-facing publications and presentations. Whether you're using AI to impact the climate, improving government efficiency, or providing better services to the public, you'll collaborate with a team that serves critical missions from end to end. Join us. The world can't wait. You Have: 3+ years of experience leveraging statistical programming languages such as Python, to develop predictive data models, quantitative analyses, and data visualizations 2+ years of experience in AI, including machine learning, Agentic AI, or natural language processing 2+ years of experience delivering data science or AI solutions and tools in a supply chain setting such as for supply chain risk management or vulnerability detection 1+ years of experience in sof tware development, including Git for version control and collaboration with other developers, and testing and code reviews to ensure the quality and reliability of AI solutions Experience with programming languages, including Python, to write efficient, clean, and maintainable code Experience with machine learning libraries and frameworks such as Scikit-Learn, TensorFlow, or PyTorch Knowledge of statistical analysis, data preprocessing techniques, and feature engineering Ability to work with large datasets using tools such as SQL or Spark, to query Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements Bachelor's degree in a CS, Machine Learning, Data Science, or Supply Chain field Nice If You Have: Experience with AWS, GCP, or Salesforce Cloud services Experience with program automation, CI and CD, DevSecOps, or Agile Experience with healthcare or medical device industry data Experience with Agile methodologies and best practices Master's degree Vetting: Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client. 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 $69,400.00 to $158,000.00 (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. Booz Allen is an advanced technology company delivering outcomes with speed for America's most critical defense, civil, and national security priorities. We build technology solutions using AI, cyber, and other cutting-edge technologies to advance and protect the nation and its citizens. By focusing on outcomes, we enable our people, clients, and their missions to succeed-accelerating the nation to realize our purpose: Empower People to Change the World . If you are an individual with a disability and would like to request a reasonable workplace accommodation for any part of our employment process, please contact the Booz Allen Help Desk by calling ************** or sending an email to **************** . This option is reserved only for individuals who are requesting a reasonable workplace accommodation. It is not intended for other purposes or inquiries. #J-18808-Ljbffr

Cyber Machine Learning Engineer Key Role Build, train, and package production-ready models to detect advanced persistent threats and anomalous or suspicious activity. Implement model performance observability to monitor and mitigate data drift, false positives, and resource utilization. Identify new opportunities for effective applications of machine learning to unique cyber defense use cases. Keep aware of latest research in machine learning and cybersecurity, and demonstrate a history of intellectual curiosity, as the problems we solve require creative solutions. Work on the cutting‑edge of production systems for cybersecurity. Contribute to novel and impactful work, using your machine learning and cybersecurity expertise to enable and automate real‑time detection and defense against threat actors, for both federal and commercial clients. Incorporate open‑source tools, innovative methods, and cloud resources to cut down on false positive alerts and time to detection. Implement continuous integration and delivery to limit manual testing and troubleshooting. Build your experience in cyber defense and machine learning, while developing models and software that will defend the nation. Basic Qualifications 2+ years of experience with cyber threat hunting and analysis of compromises within security telemetry such as endpoint and network data 2+ years of experience training and monitoring machine learning models for use with batch data and streaming data Experience using Python Experience with MLOps practices, including CI/CD Experience packaging and deploying production‑level models using Docker or Kubernetes Experience with SIEM technologies such as Splunk or Elastic Stack Experience with MITRE ATT&CK framework, MISP threat sharing, or cyber intelligence platforms Experience with cloud platforms such as AWS or Azure Ability to obtain a Secret clearance Bachelor's degree Additional Qualifications Experience with data engineering, including ETL pipelines and platforms such as Databricks Experience working with large language models (LLMs) Experience with agentic AI solutions and associated techniques and tools such as RAG Experience with AWS GovCloud Experience with Zero Trust security principles Experience with message brokers or streaming platforms such as Kafka, Amazon Kinesis, RedPanda, or RabbitMQ Possession of excellent problem‑solving skills Secret clearance Master's degree preferred; Doctorate degree a plus Clearance Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. 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

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

Diversified is a global leader in audio visual and media innovation, recognized for designing and building the world's most experiential environments. Our award-winning team specializes in delivering solutions for the most complex, large-scale and immersive installations. Serving a global clientele that includes major media organizations and retailers, sports and live performance venues, corporate enterprises, and government agencies, Diversified partners with clients to create spaces that bring people together and keep them coming back. What to Expect: At Diversified, we're on a mission to create a world without boundaries, where technology enables all people to connect and experience the moments that matter, wherever they choose to be. With clients spanning the globe and an exciting pipeline of projects across industries, Diversified offers more than just a job. We offer a career path with the flexibility to grow personally and professionally, wherever your ambitions take you. As a Diversified associate, you'll dive headfirst into big, complex, and rewarding projects that push the boundaries of what's possible. Plus, you'll enjoy a flexible work environment, competitive compensation and benefits, and a culture that celebrates diversity and inclusion. IF YOU CAN DREAM IT, YOU CAN DO IT AT DIVERSIFIED. How You'll Contribute: The Senior ESS Design Engineer (DE) is a member of the Project Engineering Electronic Security Systems (ESS) team and a lead engineer to Federal and Non-Federal design projects. The DE will provide support through the design project life cycle from sales concept to design development, construction drawings to construction administration support. As a technical resource on a project team, you will be instrumental in the determination and execution of client and system requirements and will collaborate with support teams to bring your design to life. Through our workflows, you'll have access to incredible technology and tools to help you articulate and deliver your design while being supported by global resources. The DE will be supported and mentored by Solutions Architects and Director of Engineering. DE will maintain both primary and supportive roles on complex ESS projects through direction of the Director of ESS Engineering. This role shapes the technical foundation and delivery quality of Diversified's ESS practice. Decisions made in this role define engineering standards, drive continuous improvement, and influence the company's ability to scale and maintain high-quality ESS solutions across regions. By aligning engineering practices with business needs and field realities, this role contributes directly to customer satisfaction, operational efficiency, and Diversified's reputation as a leader in electronic security system integration. Decisions made by this role impact the Engineering, Field Services, and Project Management teams, with a primary focus on the design, deployment, and support of ESS solutions. This role makes strategic and decisions related to technical standards, process improvements, team structure, vendor engagement, and quality assurance. These decisions directly influence the effectiveness and consistency of ESS engineering output and affect how well field and service teams are supported throughout the project lifecycle. The DE will report directly to the Director of ESS Engineering. What You'll Do: Contributor for complex engagements and works directly with clients and the Design Engineering team to develop specifications, designs, budgets, timelines and manage expectations. Ability to speak to Federal Security System standards such as FIPS (Federal Information Processing Standards) and FICAM (Federal Identity, Credential, and Access Management). Strong understanding and experience implementing design standards based around UL2050 and ICD 705. Conceptualize system designs and determine system requirements. Provide technical expertise and coordination information to support the architecture, installation and planning of electronic security solutions. Develop ESS project estimates and proposals. Develop the Bill of Materials (BOM) and support documentation. Develop detailed 30%, 60%, 90%, 100% IFC, and/or Shop Drawings. Research, identify, and recommend technology options for clients. DE may have client interaction and contribute to the P and L performance. Strong understanding of Internal and External project lifecycles. Project lifecycle is important and learning the standards our clients are comfortable with is just as important as selling new technology and solutions where they fit. Theposition bears the responsibility to develop long-lasting client partnerships & work with team members to maintain the account on all levels. Maintains expertise in the industry through ongoing review of trade publications, participation in industry trade shows, seminars and educational forums. Provides direction and counsel to junior personnel in engineering projects and guides issue resolution. Attend appropriate manufacturer training, attend or lead lunch and learn and continue online education. Represent ESS Engineering in enterprise-wide initiatives and strategic discussions related to delivery, quality, and customer satisfaction. This role is responsible for strategically partnering with subcontractors, manufacturers, and distributors. This position will occasionally work directly with enterprise and strategic clientele to foster optimal relationships. Occasional travel to client sites is required to resolve project escalations, provide customer consultation, and/or assist Field Engineering with commissioning efforts. 25% Travel. What You'll Bring: Education & Certifications: Bachelors Degree or Equivalent Years of Experience Required Skills/Qualifications: 5-7+ years of experience in ESS systems design, integration, or engineering required. 2+ years of team leadership or engineering management experience. Familiarity with platforms such as Lenel, CCure, Honeywell, Brivo, Milestone, ExacqVision, Eagle Eye, Axis, and Hanwha. Experience with enterprise-level networking, IP-based ESS system architecture, and AutoCAD. Experience managing multi-discipline technical teams and supporting regional or enterprise-scale project delivery. Proven experience leading engineering efforts within ESS domains such as access control, video surveillance, and intrusion detection systems. Strong understanding of system integration, project engineering processes, and field-to-office feedback loops. Skilled in process improvement methodologies, technical governance, and cross-functional coordination. Effective communicator with the ability to engage internal teams, vendors, and executive stakeholders. Analytical mindset with ability to interpret performance data, identify trends, and drive strategic improvements. Demonstrated ability to coach, mentor, and lead engineering teams in a dynamic and evolving environment. Experience managing vendor relationships and coordinating enterprise-level technology training. Strong organizational and time management skills with a focus on operational efficiency and documentation quality. Preferred Skills/Qualifications: TS/SCI Clearance Strongly Preferred Experience with Federal Security Systems, Information Technology, or related field preferred Industry certifications in access control or video surveillance (e.g., Lenel Onguard, Milestone, etc.) are a plus. What We Offer: Along with competitive compensation, you will be eligible for the following benefits: Multiple medical plan options to suit your family's needs Dental (including orthodontic coverage) and vision plans Company paid Basic Life, AD&D, Short-Term and Long-Term Disability Insurance, and Employee Assistance Plan (EAP) Healthcare and Dependent Care Flexible Spending Accounts (FSA) 401k with Employer Match Paid Time Off and Paid Holidays Voluntary Benefits: Critical Illness, Hospital Indemnity, Accident Insurance, Pet Insurance, Homeowners and Auto Insurance, Supplemental Term and Dependent Life and AD&D, and Legal Services And much more To learn more about becoming part of the Diversified team, visit us at our career site or email us at **************************. Diversified is an equal opportunity employer committed to fostering an inclusive and diverse workplace. All aspects of employment will be based on job requirements, individual qualifications, merit, performance, and business need. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic under applicable law. We believe in fair and equitable hiring practices and strive to create an environment where all individuals feel valued and empowered. If you require a reasonable accommodation to participate in the application or interview process due to a disability, please contact ************************** so we can assist you. Our compensation ranges reflect the cost of labor across several US geographic markets. The pay details below range from our lowest geographic market up to our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills and experience depending on the position offered, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. #J-18808-Ljbffr

Senior Mechanical (HVAC) Design Engineer 6+ YEARS OF EXPERIENCE We are seeking a Senior Mechanical Engineer to work in our Bethesda MD office. Projects include new construction and renovation in areas such as commercial, educational, retail, restaurant, multi-family, recreation, government and residential. Requirements include: BS or BAE in Mechanical or Architectural Engineering 6+ years of experience in building HVAC and plumbing systems design Fundamentals of Engineering/EIT certification with goal of obtaining PE License Proficiency in AutoCAD, Revit, and HVAC software Knowledge of the current building codes and standards (IBC, ASHRAE, NFPA) LEED or green building experience a plus but not required Primary responsibilities include: Designing HVAC, plumbing and fire protection systems Conducting existing condition site visits Use of AutoCAD and Revit to prepare construction documents Performing HVAC load calculations and making equipment selections Performing energy studies and life cycle cost analysis Preparing project specifications and technical reports Performing construction administration duties for projects This position requires the ability to work on several projects at once, so candidates must be self-disciplined and work efficiently. Creative solutions will often be required. Responsibilities include performing multi-discipline coordination within the office as well as interfacing effectively with clients and other members of the project time. Candidates should have strong communication, self-motivation and leadership skills.

# **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

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

About Bridge Defense. Bridge Defense is redefining how modern defense technology is delivered. Based in Washington, D.C., we are built for the dynamic mission environment facing the Department of Defense, the Intelligence Community, and federal law enforcement agencies. We provide full-spectrum national security solutions that combine secure infrastructure, cleared talent, and mission-ready software to meet evolving defense challenges. Our services include secure software development in classified environments and the design and implementation of advanced IT and cybersecurity capabilities ranging from secure cloud architectures and enterprise infrastructure to data center operations, scientific analysis, and cutting‑edge cyber defense. We are led by technologists and veterans with firsthand mission experience, which enables us to understand both the operational realities and the innovation needed to succeed. Our approach is agile and outcome‑based, delivering results in weeks rather than months whenever possible. At Bridge Defense we value people, integrity, and excellence. We foster an environment where innovation thrives in support of traditional mission requirements. Our team members receive competitive compensation, robust benefits, professional development and certification opportunities, and clear paths for growth while working on the nation's most critical projects. Core Values: Innovation & Responsiveness: We push beyond legacy models with efficient, tech‑led solutions built to scale and evolve. Trusted Performance: Security, compliance, and deep experience in delivering to demanding environments guides all we do. Mission Focused Expertise: From veteran leadership to cleared engineers, our people understand both the technology and the mission. About the Role As the Lead Site Reliability Engineer for our ComputeBridge Engagement, you'll be responsible for the reliability, scalability, and performance of one of the largest hardware and AI infrastructure efforts in the U.S. defense sector. You will lead the deployment, management, and automation of a high‑performance computing mesh across multiple secure environments, ensuring operational excellence and mission continuity for a 9‑figure government program. This is a hands‑on engineering leadership role that bridges physical infrastructure and modern DevOps automation, ideal for someone who thrives at the intersection of hardware systems, distributed computing, and AI/ML workflows. What You'll Do Lead infrastructure design, deployment, and operations for ComputeBridge hardware clusters across secure and distributed environments Install and configure physical systems, including high‑density GPU servers, networking gear, and storage arrays Build and deploy secure Linux images and containerized workloads using OpenShift and other orchestration platforms Develop and manage automation pipelines for provisioning, configuration management, and monitoring using modern DevOps toolchains (Ansible, Terraform, etc.) Operate and maintain distributed networking meshes across multiple classified and unclassified domains Implement and manage out‑of‑band management tools (IMPI, iDRAC, BMC, etc.) for remote troubleshooting and control Integrate and optimize NVIDIA GPU infrastructure for AI/ML training and inference workloads Collaborate with mission engineers, software teams, and government operators to ensure system readiness and performance Provide on‑site technical leadership for deployments, troubleshooting, and continuous improvement Mentor junior engineers and establish operational best practices across the ComputeBridge program as the contract grows What You'll Bring 3+ years of experience in site reliability, systems engineering, or hardware operations roles Deep expertise with physical infrastructure: server racking, cabling, diagnostics, and troubleshooting Strong experience with Linux systems administration, imaging, and automated deployment Hands‑on experience managing large‑scale clusters or distributed systems in OpenShift or Kubernetes environments Familiarity with DevOps automation (Ansible, Terraform, CI/CD pipelines) Experience configuring and managing networking and mesh architectures Direct experience with NVIDIA GPUs, CUDA, and related AI/ML frameworks Proficiency with out‑of‑band management and IMPI/iDRAC tooling Certifications: Linux+ and Security+ (required or in‑progress) Excellent communication, documentation, and problem‑solving skills Clearance: Active TS/SCI required or ability to obtain Bonus Points For Experience operating in secure DoD or intelligence environments Familiarity with Palantir platforms or other government data systems Prior experience supporting AI/ML infrastructure in production or tactical settings Experience with performance tuning and monitoring of HPC or GPU‑accelerated clusters General Factors: Depending on project requirements, may be required to work within a compressed schedule; overtime should be expected when schedules demand it. Willing to travel, if needed. No Relocation. Why Bridge Defense Shape how advanced computing supports national security missions at scale Lead engineering for a major government program with direct mission impact Competitive compensation, benefits, and growth opportunities in a mission‑driven environment Bridge Defense is committed to building a collaborative and mission‑focused team. Bridge Defense reserves the right to modify job duties or requirements at any time. Employment with Bridge Defense is at‑will. Candidates must be eligible to work in the United States and complete any required background checks or security clearance processes as a condition of employment. #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

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.

As an industrial engineer, you will play an integral role in the strategic planning and execution work required to provide Navy clients with big‑picture ideas rooted in technical and data‑driven solutions that will help propel them into the future and ensure military and maritime dominance. Responsibilities Conduct analyses on supply chains of critical weapon systems to provide recommendations for optimization. Analyze manufacturing processes using tools and develop actionable recommendations for process improvements to optimize throughput. Collaborate directly with suppliers and the U.S. Navy to implement changes, monitor progress, and identify risks to production schedules and quality. Support cross‑functional teams performing similar work and mentor junior employees. Build relationships with internal and external stakeholders worldwide to improve communication and workflow. Qualifications 5+ years of experience supporting manufacturing and production at a mid‑ or large‑scale defense contractor. Knowledge of processes related to weapon system production. Knowledge of lean manufacturing, Six Sigma, and continuous improvement principles. Knowledge of supply chain risk management concepts, including manufacturing and quality management. Ability to participate in or lead integrated product teams (IPTs). Ability to travel to supplier sites up to 30% of the time, with higher tempo near the start of employment. Bachelor's degree in Industrial Engineering or Manufacturing Engineering. Secret clearance. Nice If You Have 5+ years of experience serving in or supporting the U.S. Navy, including product support manager functions or production support in a USN program office. Experience using Python or R. Experience with program management of major ACAT programs. Knowledge of ISO 9001 or AS09100 standards. Master's degree. PMP, DAWIA PM, or LCL Level II or III certification. 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 The projected compensation range for this position is $69,400.00 to $158,000.00 (annualized USD). This posting will close within 90 days from the posting date. 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

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 leading defense contractor is seeking a Manufacturing Engineering Manager to oversee the team in Huntsville, AL. This role involves mentoring engineers, ensuring production quality, and leading continuous improvement initiatives. The ideal candidate has significant experience in manufacturing engineering, strong leadership skills, and is a U.S. citizen eligible for a Secret clearance. If you're looking to impact aerospace and defense manufacturing, this opportunity is for you. #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 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

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