Product engineer jobs in Frederick, MD - 1,618 jobs

Amazon created one of the most sophisticated supply chains in the world. From the introduction of Amazon Prime, to the use of advanced technology for package delivery; Amazon consistently drives change from the front of the pack. As an Operations Engineer, you will lead and manage the lifecycle of challenging cross-functional projects, developing and delivering the next generation of sortation and distribution solutions. You are a customer obsessed leader that will play an integral part in planning and implementation of the facility network infrastructure including new builds, retrofits, expansions and program initiatives. Partnering with internal customers and internal/external stakeholders to engage as a team and ensure a timely handover will be part of your critical tasks. As an Operations Engineer for Amazon, you will work with some of the most talented engineers in the design, development, and delivery of physical distribution systems around the globe. You are responsible for managing a technology or integration project, successfully delivering the solution to meet project goals. You may work directly with external equipment vendors, customers, or partners, and you have a solid understanding of the design approaches and industry technologies utilized in fulfillment and distribution center designs. To meet timelines and minimize disruption to support teams, you manage the overall schedule, proactively mitigate risks, and keep the scope of engineering deliverables under control. This role requires 75% regional travel on a yearly basis. When not traveling, you must have availability to work from a corporate office. Candidates should either live near or be willing to relocate within a reasonable commuting distance of one of the corporate office locations listed. Relocation assistance may be provided. Key job responsibilities - Work independently with internal and external teams to successfully manage the lifecycle of challenging projects, and act as owner in delivering on project objectives and targets. Projects may span organizations or geographies in support of business objectives. - Actively participate in firm engineering reviews, and make tangible impact on the proposed solutions on an individual system or its components, on the overall systems architecture, and on facility processes. - Partner with internal teams, stakeholders and external vendors to set project priorities, establish milestones, and drive schedules to meet deadlines. Proactively assess stakeholders' dependencies and milestones, problem-solve and drive solutions to mitigate the impact from the issues. - Lead and coordinate all execution efforts in delivering systems and automated equipment designs per established standards and guidelines. Perform equipment/system installation, throughput and safety qualifications. Simplify, optimize, remove bottlenecks and provide feedback while resolving difficult system problems or technical deficiencies. - Lead effective meetings by setting the objectives, putting the right people in the room and driving detailed business and technical discussions/alignment. Document meeting discussions, decisions and future steps, ensuring alignment on expectations with internal partner teams and outside vendors. - Promptly and accurately communicate project status, risk analysis and risk mitigation plans. Effectively answer project questions in detail, and regularly produce clear and concise summaries for the project to leadership/management team. - Competently articulate system and/or equipment designs, including layouts, technical specifications and functional capabilities to internal customers and partner teams. - Efficiently manage change order controls, purchase orders, and invoice validation/approvals. - Excel at building strong working relationships with internal and external stakeholders across multiple projects. - Identify and lead process improvement initiatives that improve the Engineering and cross-teams' efficiencies, optimizing the teams' value and delivery. Through collaboration, generate high-quality, cost-effective solutions in compressed periods of time. - Up to 75% travel domestically although travel intensity can be variable and consist of up to three weeks in a row, including weekends. A day in the life You are managing one or multiple projects that can vary in scope, complexity and duration. Daily tasks may comprise of site coordination with operations teams and contractors on project execution activities or changes; deep diving project progress, schedule and resources, while identifying barriers, creating solutions and driving resolutions. You may be facilitating the planning and/or implementation meetings with projects' stakeholders, ensuring alignment in objectives, expectations, and the next steps; you would capture and publish detailed notes after each meeting to drive ownership and follow-through on the actions and decisions. Reviewing and approving Sorter System Functional specification document is one of the essential tasks, and you may be tracking the on-time creation of the sorter configurations with the internal automation teams. You may be brainstorming and developing workaround solutions while mitigating the project delays or design issues. As a part of the acceptance testing, you may be performing systems installation quality, safety, throughput, and performance qualifications, frequently communicating the progress to internal and external stakeholders. In addition, you may be supporting/training other engineering team members, utilizing the knowledge of Amazon's safety, mechanical, electrical and controls installation standard and guidelines. Global Engineering Services (GES) North America (NA) Operations Engineering, or Ops Eng, works across North America to deliver Material Handling System launches, retrofits, and innovations. A day in the life can take place on a jobsite, in an active facility, or in one of Amazon's corporate offices. GES NA Ops Eng is highly team-oriented, working daily be smarter together, be faster together, and to grow together. About the team The OE Execution Team is responsible for delivery of Automation Infrastructure projects related to material handling, storage, processing, and delivery of products to retrofits and newbuilds throughout First and Middle Miles across all regions within North America. At Amazon, we are all Owners and leverage unique opportunities presented to us by owning everything from firm engineering to project execution and final hand-off to our customers. We are a diverse, upbeat, creative team of engineers and managers working on a daily basis to ensure that our internal customers have capabilities to deliver on the Customer Promise. We not only build, but we are also consistently improving our capabilities at Amazon. Continuous improvement is the ongoing enhancement of our systems through incremental and breakthrough developments. We are continually raising the quality bar, and are never satisfied. We seek to improve through captured lessons learned that are incorporated back into our mechanisms as a way to perpetually improve upon the next design and processes iterations. We continually learn, grow, and develop throughout the organization and our Subject Matter Expertise is leveraged globally. We are the Team! We collaborate, support, help and leverage each other in delivering on the business objectives. Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply! Basic Qualifications - Bachelor's degree in industrial or manufacturing engineering - 4+ years of industrial engineer, operations engineer, manufacturing engineer, or project engineer in a manufacturing environment experience - Experience Experience working with Material handling equipment (MHE) - Knowledge of automated material handling systems, packaging technologies and storage solutions - Knowledge of AutoCAD, VBA, and SQL at the intermediate level Preferred Qualifications - Master's degree in engineering, management, or technology - Experience working with and managing third party vendors - Experience with Six Sigma, lean manufacturing - Knowledge of Microsoft Office products and applications (Excel, PowerPoint, Word, Visio, and MS Project) at an advanced level Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at ******************************* . USA, CA, San Francisco - 84,300.00 - 126,400.00 USD annually USA, MA, Boston - 76,600.00 - 114,900.00 USD annually USA, NY, New York - 84,300.00 - 126,400.00 USD annually USA, TN, Nashville - 68,900.00 - 103,400.00 USD annually USA, TX, Austin - 76,600.00 - 114,900.00 USD annually USA, TX, Houston - 76,600.00 - 114,900.00 USD annually USA, TX, Irving - 76,600.00 - 114,900.00 USD annually USA, VA, Arlington - 76,600.00 - 114,900.00 USD annually USA, WA, Bellevue - 82,700.00 - 114,900.00 USD annually

100% onsite - Columbia, MD We are seeking a highly skilled and hands-on Senior Staff Enginee r to lead development efforts in AI, MLOps, and signal processing, with a strong emphasis on deploying intelligent systems on microcontrollers and working directly with customer data. This role demands not only proficiency in machine learning frameworks but also a deep understanding of the underlying algorithms and their practical application to real‑world sensor data. The ideal candidate will also bring extensive experience in software production development, including CI/CD pipelines, GitHub workflows, and rigorous testing practices. Key Responsibilities Architect, develop, and maintain scalable ML product codebases with production‑grade quality. Lead MLOps strategy including model deployment, monitoring, and lifecycle management. Apply advanced signal processing techniques to one‑dimensional sensor data (e.g., audio, motor control, accelerometers). Collaborate with customers to ingest, debug, and analyze their data for model development and validation. Design and implement machine learning models tailored to time‑series and sensor data, with a strong grasp of algorithmic foundations (e.g., SVM, decision trees, neural networks, reinforcement learning). Optimize and deploy ML models on microcontrollers (MCUs) and embedded platforms. Develop smaller, faster models suitable for edge deployment. Implement and maintain CI/CD pipelines, GitHub workflows, and automated testing frameworks. Write and maintain unit tests, integration tests, and documentation to ensure code quality and reliability. Assemble hardware setups (e.g., sensor arrays, embedded boards) and collect data from real‑world environments to support model development and validation. Mentor junior engineers and contribute to technical leadership across teams. Stay current with emerging technologies in AI, embedded ML, and signal processing. Qualifications Education: Master's or PhD in Computer Science, Electrical Engineering, or related field. Experience: Minimum 5 years in software development with a focus on AI/ML and signal processing. Proficiency in Python, MATLAB, and at least one other language (e.g., C, C++). Deep understanding of ML algorithms, reinforcement learning and practical experience implementing them from scratch or customizing existing frameworks. Experience with ML frameworks (e.g., TensorFlow, PyTorch, scikit‑learn, LIBSVM). Strong background in digital signal processing (DSP) for audio and time‑series data. Hands‑on experience with sensor data (e.g., accelerometers, motor control systems). Experience working with customer datasets, including debugging and preprocessing. Proven ability to optimize performance and size. Extensive experience with CI/CD pipelines, GitHub version control, and automated testing. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). Strong understanding of software engineering best practices and agile development. Minimum professional experience: Updated to 6 years of hands‑on experience in ML/AI development. Technical leadership requirement: Candidates should currently hold a Senior Staff Engineer role in ML/AI development or a Staff Engineer position with at least 1 year of experience in that role. Preferred Qualifications Experience with edge computing or embedded systems. Knowledge of real‑time systems and latency optimization. Contributions to open‑source projects or published research in AI/signal processing. Additional Information The expected annual pay range for this position is $134,500 - 185,000. This position is also eligible for bonus opportunities and commission pay. Please note that the final offer amount will be dependent on geographic location, applicable experience, and skillset of the candidate. Renesas offers a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre‑tax commuter benefits, life insurance, AD&D, and pet insurance. In addition to elective benefit options, benefited employees receive company‑paid life insurance and AD&D, LTD, short term medical benefits as well as paid sick time, paid holidays, and accrued paid vacation. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources. Renesas is an embedded semiconductor solution provider driven by its Purpose ‘To Make Our Lives Easier.' As the industry's leading expert in embedded processing with unmatched quality and system‑level know‑how, we have evolved to provide scalable and comprehensive semiconductor solutions for automotive, industrial, infrastructure, and IoT industries based on the broadest product portfolio, including High Performance Computing, Embedded Processing, Analog & Connectivity, and Power. With a diverse team of over 22,000 professionals in more than 30 countries, we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable, power‑efficient solutions today that help people and communities thrive tomorrow, ‘To Make Our Lives Easier.' At Renesas, you can: Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things. Make a real impact by developing innovative products and solutions to meet our global customers' evolving needs and help make people's lives easier, safe and secure. Maximize your performance and wellbeing in our flexible and inclusive work environment. Our people‑first culture and global support system, including the remote work option and Employee Resource Groups, will help you excel from the first day. Are you ready to own your success and make your mark? Join Renesas. Shape Your Future with Us. Renesas Electronics is an equal opportunity and affirmative action employer, committed to celebrating diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by federal, state or local law. For more information, please read our Diversity & Inclusion Statement. Renesas Electronics deals with dual‑use technology that is subject to U.S. export controls regulations. Under these regulations it may be necessary for Renesas to obtain U.S. government export license prior to release of technology to certain persons. The decision whether or not to file or pursue an export license application is at the sole discretion of Renesas. We have adopted a hybrid model that gives employees the ability to work remotely two days a week while ensuring that we come together as a team in the office the rest of the time. The designated in‑office days are Tuesday through Thursday for innovation, collaboration and continuous learning. #J-18808-Ljbffr

Do you love building and pioneering in the technology space? Do you enjoy solving complex technical problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Platform Engineers who are passionate about creating and supporting Security Infrastructure with emerging technologies to join our team. As a Platform Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. General Responsibilities: Work with product owners to understand desired application capabilities and testing scenarios Continuously improve software engineering practices Work within and across Agile teams to design, develop, test, implement and support technical solutions across a full-stack of development tools and technologies Lead the craftsmanship, availability, resilience and scalability of your solutions Bring a passion to stay on top of tech trends, experiment with and learn new technologies, participate in internal & external technology communities, and mentor other members of the engineering community Encourage innovation, implementation of cutting-edge technologies, inclusion, outside-of-the-box thinking, teamwork, self-organization and diversity Utilize scripting languages like Python, BASH, and automation tools including Ansible and Terraform, and a variety of AWS tools and services Basic Qualifications: High School Diploma, GED, or equivalent certification At least 6 years of experience using build and deployment tools (Jenkins, GitHub, or Artifactory) At least 4 years of experience with AWS At least 2 years of team leadership experience Preferred Qualifications: 7+ years of experience building and deploying network security infrastructure (Firewalls/Firewall Policy, Intrusion Detection, AWS Security Groups) 5+ years of experience with AWS 2+ years of experience in Python or ansible scripting 2+ years of experience in Agile practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Riverwoods, IL: $149,800 - $171,000 for Lead Platform Engineer Chicago, IL: $149,800 - $171,000 for Lead Platform Engineer McLean, VA: $164,800 - $188,100 for Lead Platform Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Agentic AI Machine Learning Engineer**The Opportunity:**As an experienced machine learning engineer, you understand good software is more than just a good user experience. To compete in today's technical landscape, mission-oriented machine learning solutions must be architected, designed, and built to handle fast-moving data, to seamlessly scale with infrastructure based on system usage, and to expand based on evolving mission requirements. We're looking for an engineer like you to create artificial intelligence (AI) and machine learning (ML) enabled solutions that help solve our toughest challenges facing the Defense and Intelligence sectors.On our team, you'll design, create, and implement complete AI systems that will transform client operations, increase data accessibility, and optimize AI and ML systems. You'll ensure that your team's solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements. Additionally, you'll deepen your skill set in areas like software engineering, machine learning operations (MLOps), and software deployment and integration into a variety of different mission environments.Ready to transform the Defense and Intelligence sectors with sof Join us. The world can't wait.**You Have:*** 3+ years of experience as a ML engineer and building production-grade ML solutions, including work involving LLMs, agents, or complex automation frameworks* 3+ years of experience working within data science or data research in a professional or academic environment, and training or deploying models across multiple modalities of data* 3+ years of experience working in cloud environments, including AWS and Azure* 2+ years of experience deploying and integrating production-grade ML models using tools, such as Docker and Kubernetes* Experience with Large Language Models (LLM), Deep Learning (DL), and Reinforcement Learning (RL), and with tools and AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex* Experience in connecting Agents to APIs, Cloud platforms, or databases* Experience evaluating architectural tradeoffs and designing robust service-based software applications for scalable use* Experience with MLOps, GitOps, and CI/CD tooling* TS/SCI clearance* Bachelor's degree**Nice If You Have:*** Experience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, and vLLM* Experience with client engagements, client-facing project work, and business development* Experience with project work in deep learning, computer vision, NLP, or signal processing* Experience deploying and managing data brokering solutions, including Kafka, Red Panda, Confluent, and other related services* Ability to adapt in a rapidly changing environment* Possession of excellent verbal and written communication skills* Possession of excellent interpersonal, analytical, problem-solving, and organizational skills* TS/SCI clearance with a polygraph* 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; TS/SCI clearance is required.**Compensation**At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.**Identity Statement**As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.**Work Model** Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.* 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.**About Booz Allen Hamilton**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. **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.**Accommodations**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. **Data Privacy** For more information on how Booz Allen uses your information, please see our . #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.

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

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

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

We're looking for a Lead Azure Cloud Engineer to play a pivotal role in designing, implementing, and optimizing our Azure cloud infrastructure. In this strategic position, you'll collaborate with enterprise technology leaders and cross-functional teams-development, operations, and security-to build a secure, scalable, and high-performing cloud environment. What You'll Do Architect and manage scalable, secure Azure solutions across multiple environments. Ensure availability, performance, and security of all Azure resources. Develop and maintain Infrastructure as Code (IaC) using Terraform, Bicep, or ARM templates. Deploy and configure hybrid solutions integrating on-premises and cloud environments. Monitor and optimize infrastructure for cost efficiency and reliability. Troubleshoot and resolve complex system issues escalated from support or design phases. Stay ahead of emerging Azure technologies and best practices to drive innovation. Maintain comprehensive documentation-requirements, architecture diagrams, design specs, and test plans. Bonus: Experience with M365, Intune, PP&C, UEM, and IAM is highly valued. What You Bring Bachelor's degree in Computer Science, Engineering, or related field. 4+ years of experience as an Azure Cloud Engineer or similar role. Strong knowledge of Azure service models (Serverless, IaaS, PaaS, SaaS). Expertise in cloud security, compliance, and cost optimization. Azure certifications (minimum: Azure Administrator). Excellent problem-solving, troubleshooting, and collaboration skills. Why You'll Love This Role You'll lead cloud innovation, work with cutting-edge technologies, and help shape the future of our enterprise infrastructure. If you're passionate about Azure and thrive in a fast-paced, collaborative environment, we want to hear from you.

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

The Project Engineer - Electrical Commissioning plays a critical role in ensuring the successful commissioning of electrical systems in mission-critical environments such as data requires a proactive, detail-oriented professional with strong technical expertise in electrical system design, construction, and commissioning processes. The ideal candidate combines theoretical knowledge with hands-on experience in testing, troubleshooting, and validating electrical systems and controls. Key Equipment Knowledge • Generators and Paralleling Switchgear • Transformers (High/Medium/Low Voltage) • UPS and Battery Systems • Switchgear and Main Switchboards • PLC and Switching Controls • EPMS, ATS, STS, PDU, RPP, Busways Qualifications Education & Experience: • BSc/MSc in Electrical Engineering with 1 year of mission-critical project experience, OR • 4+ years of commissioning experience in relevant industries Skills & Competencies: • Background in mission-critical facility commissioning • Detail-oriented, analytical, and proactive problem solver • Excellent communication and interpersonal skills • Ability to manage multiple tasks independently • Familiarity with ASHRAE, BCxA, and NETA standards • Experience with BMS and EPMS systems • Proficient in using electrical test instrumentation • Team-oriented with a client-first mindset

Job Description Mechanical Engineer - Data Center Development - Ashburn, VA This opportunity is working directly with a leading mission-critical data center developer / investor. This company provides turnkey data center solutions custom-fit to the requirements of their client's ever-changing mission-critical facility's operational needs. They accomplish this by providing reliability of mission-critical facilities for many of the world's largest organizations (Hyperscale and Enterprise Customers). This opportunity provides a career-growth minded role with exciting projects with leading-edge technology and innovation as well as competitive salaries and benefits This role is ideal for a smart, sharp, and driven engineer with a strong grasp of concept-level design, schematics, and construction drawings. The ideal candidate will be proficient in AutoCAD and Revit, with experience in Mechanical systems design for mission-critical environments. As a subject matter expert, you will have a direct impact on the design of prototypical Data Center sites, provide technical design guidance and vendor oversight, solve large-scale implementation issues, and build a strong understanding of site design and program requirements. The successful candidate will develop and implement design strategies to expand the firm's expertise, footprint and profitability in Critical Facilities and Digital Infrastructure. Our client is looking for a Critical Facilities Engineer that has expertise in Mechanical / Cooling Systems Engineering and Design for data center and infrastructure development efforts, specifically for large data centers. This challenging and unique role will involve the initial design specifications and prototype of mechanical / HVAC / Cooling systems for new data centers and expansions to existing data centers. The ideal candidate will have experience and in-depth knowledge of Mechanical / HVAC / Cooling Systems / Controls System design and installation. Knowledge of heating and cooling load calculations, ductwork and piping sizing, selecting HVAC equipment, energy modeling, CFD / Computational Fluid Dynamics and other engineering calculations. Previous experience with mechanical equipment design to include: HVAC , Boilers , Chillers , Pumps , CRAC / CRAH Units , Air Handling Units , etc.). You will help lead the design team and working / communicating with all the trades and stakeholders involved in all projects. Responsibilities: Manage projects, create designs and plans, provided and gather specifications, and execute assignments in a multidisciplinary electrical engineering design role for all sizes of data center facility design projects- enterprise data centers, Colocation Providers and for Hyperscale Companies. Create Conceptual Designs gathered from meetings with the client Create Prototypes that will create the schematics that will be basis for RFPs / RFIs Establish project objectives, policies, procedures and performance standards within boundaries of company policies Represent the company in project meetings Collaborate with all design staff and oversee full cycle electrical design activities Interact closely with the Project Management Team to produce construction documents, develop and edit project specifications and lead the construction administration process Execute and lead design teams and design projects of complex scope Perform intermediate to advanced mechanical design tasks including development of cooling systems and topologies, infrastructure and equipment layouts and selection / sizing of equipment Utilize AutoCAD and Revit software to prepare drawings Review and / or prepare book or sheet specifications for mechanical systems Develop and / or review sequences of operations Proposal development including project scope, schedule and budget Effective management of project design team including resource forecasting and coordination Identify potential project scope changes and aid in development of strategies to minimize impact and control deviations from estimated costs and project deadlines Support contact for design clients and builds effective, long-term client relationships Survey existing building conditions / Conduct Field Observations and prepares technical reports of findings and commissioning support Represent the Operations team in startup, testing, factory witness testing, commissioning, and turnover Prepare project design and construction documents Prepare project progress reports for internal and external stakeholders Qualifications: Bachelor's Degree in Mechanical Engineering a MUST Professional Engineer or on tract for a PE ( current FE or EIT) a big plus! 5+ years' experience in mechanical systems design for Data Centers or Mission Critical Facilities. Previous experience working at an Engineering Consulting firm, A/E, MEP a MUST Experience with hyperscale / colo / enterprise / complex data center design / mission critical facilities design projects a must Previous experience using: Revit MEP projects, AutoCAD MEP, BIM, Trane Trace or IES VE Energy Modeling software a plus Previous experience with heating and cooling load calculations, ductwork and piping sizing, selecting HVAC equipment, energy modeling, CFD / Computational Fluid Dynamics and other engineering calculations Experience with Mechanical / HVAC / Cooling Systems / Controls System design and installation. Extensive Experience with Mechanical / HVAC Equipment: HVAC , Boilers , Chillers , Pumps , CRAC / CRAH Units , Air Handling Units , etc. Knowledge of codes and specifications for the design of mechanical systems including National Electric Code, Life Safety and Energy Conservation Codes Site asset acquisition experience a plus; someone that can assist with determining the viability of converting an existing building / brownfield into a Data Center Experience with creating concept-level design, reviewing drawings, and schematics Experience performing field observations during construction Understand and apply building codes, permitting, local regulations, and standards Knowledge of mission critical equipment and systems, design process, pre-construction requirements and the construction process Demonstrated ability to evaluate the design and constructability of site design by third-party consultants Ability to effectively communicate complex project details and market information and analysis at all organizational levels to include senior leadership, utility partners, and local stakeholders Strong attention to detail and the ability to manage multiple projects with internal staff, external consultants, vendors, and other stakeholders Must be detail-oriented, highly organized, and able to manage multiple tasks efficiently Self Starter, self motivated, Strong problem-solving skills and should prioritize well and have the ability to successfully work independently and within a team Active participant in local data center organizations (7x24, AFCOM, DCD, Uptime Institute, DICE Bisnow, etc.) Previous experience in the Military / Military veterans in all branches that have experience with Electrical / Mechanical is a huge plus! (Navy nukes- EMN, ETN, MMNs, Seabees, Army - Power Generation, Air Force - Power Production, Generator Techs, Maritime, Coast Guard, etc.) Submittal Instructions: Please apply directly by clicking the link below, alternatively you can forward your resume directly to: ************************************** After applying, if you have further questions, you may call ************ and ask for Iggy. You can also submit via our career portal and take a look at other Critical Facility openings we are working on at, *************************** If this job is not for you, feel free to forward this along. WE PAY FOR REFERRALS!! Company offers competitive salaries and benefits package including medical insurance, a 401(k) plan EOE/AA Employer M/F/D/V Pkaza LLC is a third-party employment firm. All fees assessed by Pkaza LLC will be paid by our employer that we represent and not by the candidate

Are you ready to see your future take flight? At GE Aerospace, we believe the world works better when it flies. We are a world-leading provider of jet engines, components, and integrated systems for commercial and military aircraft. We have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Job Description Job Summary Help invent the future of flight, lift people up, and bring them home safely as a GE Aerospace intern! The Manufacturing Engineering internship offers a distinct role based on your major and field of interest: Manufacturing Engineering Internship: In this role you will build a strong technical foundation in manufacturing and assembly processes. This may include key manufacturing, new product integration, new technology integration, continuous improvement, and cost out. This internship is a great first step for those interested in our MEDP or OMLP program after graduation. Essential Responsibilities Our Manufacturing and Supply Chain organizations combine passionate people, cutting-edge technology, and a culture of continuous improvement to provide the highest quality products to our customers. Members of our team are part of a fast-paced and dynamic environment. They typically have the benefit of getting hands-on experience with our products. In either internship experience, you'll be expected to: * Learn and understand state-of-the-art methods of manufacturing, * Support manufacturing and repair processes for component hardware and/or overall engine assembly, * Maintain high-quality standards via risk assessment, root cause analysis, corrective action, and the application of statistical controls * Ensure safe work conditions via Environmental, Health & Safety (EHS) initiatives * Learn and apply Lean and Six Sigma principles to drive productivity, on-time delivery, process capability, and stable operations in our increasingly complex and demanding environment * Supporting delivery efforts for sourced components by working with our shops and suppliers while building project management skills, negotiation skills, and business acumen Qualifications/Requirements: * Minimum 3.0 cumulative G.P.A. on a 4.0 scale without rounding * Attending a full-time registered and nationally accredited bachelor or graduate program (accepted majors are listed below) * Willingness and ability to work in any of the 35+ GE Aerospace U.S. locations * Reliable transportation, as many of our sites do not have public transportation available Degrees accepted: * Aeronautical/Aerospace Engineering * Ceramic Engineering * Chemical Engineering * Civil Engineering * Computer Engineering * Computer Science * Electrical Engineering / Electrical & Computer Engineering * Engineering Technology (various) * Fiber/Polymer Science * Industrial Engineering * Manufacturing Engineering * Materials Science/Engineering * Mechanical Engineering * Systems Engineering * Welding Engineering Or any relevant or similar major to the ones above Eligibility Requirements: Any offer of employment is conditioned upon the successful completion of a background investigation and drug screen. Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening. Desired characteristics: * Humble: respectful, receptive, agile, eager to learn * Transparent: shares critical information, speaks with honesty, contributes constructively * Focused: quick learner, strategically prioritizes work, committed, and takes initiative * Leadership ability: strong communicator, decision-maker, collaborative teamwork * Problem solver: analytical-minded, challenges existing processes, critical thinker * Comfortable working in a fast-paced shop floor environment around various machine tools and equipment * Preference will be given to those with prior internship, co-op or military experience in manufacturing/supply chain or engineering * Demonstrated commitment to community and/or university involvement Benefits: Pay rates for this position begin at $20/hour and increase for each undergraduate year completed. Relocation support and housing assistance is available for those who relocate to a new city. Equal Opportunity Employer: GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. This role requires access to U.S. export-controlled information. Therefore, employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident, U.S. Citizen, have been granted asylee or refugee status (i.e., a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3)). Additional Information GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes

We are seeking a skilled Mechanical Engineer to provide support in the design and development of high-reliability mechanical systems. This includes developing concepts, evaluating them for performance, and ensuring compliance with technical specifications. The role involves guiding systems from development through production, including prototyping, testing, and commissioning. You will serve as a bridge between the design and test engineering teams, working partly onsite at both locations. Responsibilities + Develop mechanical and physical concepts for high-reliability products and facilities with a focus on safety. + Coordinate with key stakeholders to identify and document applicable requirements, interfaces, and design criteria. + Perform structural, thermal, hydraulic, and other calculations to ensure systems meet technical requirements. + Develop innovative mechanical solutions for pressure vessels, piping, electromechanical systems, and mechatronics. + Assess mechanical systems for manufacturability and integration considerations. + Develop Verification and Validation (V&V) plans and support toolset qualification. + Conduct mechanical testing and validation efforts to ensure high reliability, including data analysis and test procedure development. Essential Skills + Hands-on experience with hardware and the product development lifecycle through to production. + Experience in highly regulated industries such as aerospace, medical devices, automotive, or defense electronics. + Mechanical component-level design experience with high-pressure vessels, fluid systems, and advanced mechanisms. + Proficiency in CAD and PLM software like UG/NX, Solidworks, or CREO/Pro-Engineer. + Hands-on mechanical testing and troubleshooting experience. + Familiarity with machine shop tools and mechanical test benches. Additional Skills & Qualifications + Bachelor's degree in mechanical engineering or related discipline. + Significant experience in mechanical engineering design and test setup. + Experience with instrumentation selection and data analysis tools like LabVIEW, Python, or MATLAB. + Knowledge of industry standards such as ASME BPV Code and ASME B31.1 or B31.3. Work Environment You will work in an office environment, with responsibilities split between two sites (Rockville, MD and Frederick, MD), spending approximately 50% of your time at each. The role requires hands-on involvement in mechanical troubleshooting and use of machine shop tools. Job Type & Location This is a Contract to Hire position based out of Rockville, MD. Pay and Benefits The pay range for this position is $58.00 - $80.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: - Medical, dental & vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life & AD&D for the employee and dependents) - Short and long-term disability - Health Spending Account (HSA) - Transportation benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Rockville,MD. Application Deadline This position is anticipated to close on Jan 26, 2026. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email actalentaccommodation@actalentservices.com (%20actalentaccommodation@actalentservices.com) for other accommodation options.

Are you an engineer with a passion for data center design and looking for a challenge to chart your own course? If so, we are looking for you to help us make history. AWS data centers are the foundation upon which our software and services operates to meet the growing demands of our customers. This role provides the opportunity to collaborate with business development, design engineers, data center operations professionals, external vendors and consultants, and other cross-functional teams to assess and select colocation facilities that meet our business requirements. In this role you will be able to showcase your in-depth understanding of data center design, engineering, and operations of infrastructure common to data centers, telecommunications facilities and other critical environment infrastructure. You will work directly with internal business teams and with colocation vendors to identify, document, and resolve any operational/design deficiencies which could impact a site's capability or availability. You will have opportunities to influence standards for data center products, build and improve processes, and to guide the direction of our colocation data center portfolio on a global scale. So, if you are a strong leader with solid data center mechanical, electrical, plumbing, and structural (MEPS) infrastructure design engineering experience, Amazon will present a fast paced, fun, and exciting work environment that is unique in every aspect and offers an exceptional rewarding opportunity for you. AWS Infrastructure Services (AIS) owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job responsibilities You will be responsible for the following: - Conduct site assessments against AWS standards for collocation data centers, legacy facility upgrades, and general capital endeavors. - Perform risk analysis and availability calculations for vendor owned and operated collocation data center's infrastructure to determine fit-for-use/fit-for-service. - Influence AWS' design and specification requirements to meet our business needs for AWS colocation products. - Investigate and document root-cause failure analysis associated with infrastructure and equipment failures. - Work with vendors and local agencies having jurisdiction to ensure compliance with federal, state and municipal requirements and codes. - Collaborate with engineering, operations, and commissioning teams to properly test and validate the installation, operation, and performance of critical electrical/mechanical/fire suppression/controls systems/structural systems. - Support Operations, data scientists and other business partners to determine utilization, efficiency, and performance analysis on critical systems. - Travel to Data Center sites as required - International & Domestic (up to 50%) About the team About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Basic Qualifications - 6+ years of data center design, construction, operations, or facility maintenance experience - 6+ years of industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities experience - Bachelor's degree in Engineering or a related field - Knowledge of critical data center mechanical and electrical equipment - Experience in data center design, construction, operations, or facility maintenance - Experience in industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities - Experience researching new designs, technologies, and construction methods of data center equipment and facilities Preferred Qualifications - Professional Engineering or Architectural License - Knowledge of building codes and regulations for your region - Experience carrying design concepts through exploration, development, and into deployment or mass production - Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at ******************************* . USA, GA, Atlanta - 136,600.00 - 184,800.00 USD annually USA, VA, Herndon - 136,600.00 - 184,800.00 USD annually

As a Capital One Machine Learning Engineer, you'll be providing technical leadership to engineering teams dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll serve as a technical domain expert in machine learning, guiding machine learning architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. You'll also mentor other engineers and further develop your technical knowledge and skills to keep Capital One at the cutting edge of technology. What you'll do in the role: Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems Lead large-scale ML initiatives with the customer in mind Leverage cloud-based architectures and technologies to deliver optimized ML models at scale Optimize data pipelines to feed ML models Use programming languages like Python, Scala, C/C++ Leverage compute technologies such as Dask and RAPIDS Evangelize best practices in all aspects of the engineering and modeling lifecycles Help recruit, nurture, and retain top engineering talent Basic Qualifications: Bachelor's degree At least 10 years of experience designing and building data-intensive solutions using distributed computing At least 6 years of experience programming in C, C++, Python, or Scala At least 3 years of experience with the full ML development lifecycle using modern technology in a business critical setting Preferred Qualifications: Master's Degree 3+ years of experience designing, implementing, and scaling production-ready data pipelines that feed ML models 2+ years of experience using Dask, RAPIDS, or in High Performance Computing 2+ years of experience with the PyData ecosystem (NumPy, Pandas, and Scikit-learn) Ability to communicate complex technical concepts clearly to a variety of audiences ML industry impact through conference presentations, papers, blog posts, or open source contributions Ability to attract and develop high-performing software engineers with an inspiring leadership style Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $269,100 - $307,200 for Distinguished Machine Learning Engineer New York, NY: $293,600 - $335,100 for Distinguished Machine Learning Engineer Cambridge, MA: $269,100 - $307,200 for Distinguished Machine Learning Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished Machine Learning Engineer San Jose, CA: $293,600 - $335,100 for Distinguished Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Are you ready to see your future take flight? At GE Aerospace, we believe the world works better when it flies. We are a world-leading provider of jet engines, components, and integrated systems for commercial and military aircraft. We have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. **Job Description** Job Summary Help invent the future of flight, lift people up, and bring them home safely as a GE Aerospace intern! The Manufacturing Engineering internship offers a distinct role based on your major and field of interest: **Manufacturing Engineering Internship:** In this role you will build a strong technical foundation in manufacturing and assembly processes. This may include key manufacturing, new product integration, new technology integration, continuous improvement, and cost out. This internship is a great first step for those interested in our MEDP or OMLP program after graduation. Essential Responsibilities Our Manufacturing and Supply Chain organizations combine passionate people, cutting-edge technology, and a culture of continuous improvement to provide the highest quality products to our customers. Members of our team are part of a fast-paced and dynamic environment. They typically have the benefit of getting hands-on experience with our products. In either internship experience, you'll be expected to: + Learn and understand state-of-the-art methods of manufacturing, + Support manufacturing and repair processes for component hardware and/or overall engine assembly, + Maintain high-quality standards via risk assessment, root cause analysis, corrective action, and the application of statistical controls + Ensure safe work conditions via Environmental, Health & Safety (EHS) initiatives + Learn and apply Lean and Six Sigma principles to drive productivity, on-time delivery, process capability, and stable operations in our increasingly complex and demanding environment + Supporting delivery efforts for sourced components by working with our shops and suppliers while building project management skills, negotiation skills, and business acumen Qualifications/Requirements: + Minimum 3.0 cumulative G.P.A. on a 4.0 scale without rounding + Attending a full-time registered and nationally accredited bachelor or graduate program (accepted majors are listed below) + Willingness and ability to work in any of the 35+ GE Aerospace U.S. locations + Reliable transportation, as many of our sites do not have public transportation available Degrees accepted: + Aeronautical/Aerospace Engineering + Ceramic Engineering + Chemical Engineering + Civil Engineering + Computer Engineering + Computer Science + Electrical Engineering / Electrical & Computer Engineering + Engineering Technology (various) + Fiber/Polymer Science + Industrial Engineering + Manufacturing Engineering + Materials Science/Engineering + Mechanical Engineering + Systems Engineering + Welding Engineering Or any relevant or similar major to the ones above Eligibility Requirements: Any offer of employment is conditioned upon the successful completion of a background investigation and drug screen. Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening. Desired characteristics: + Humble: respectful, receptive, agile, eager to learn + Transparent: shares critical information, speaks with honesty, contributes constructively + Focused: quick learner, strategically prioritizes work, committed, and takes initiative + Leadership ability: strong communicator, decision-maker, collaborative teamwork + Problem solver: analytical-minded, challenges existing processes, critical thinker + Comfortable working in a fast-paced shop floor environment around various machine tools and equipment + Preference will be given to those with prior internship, co-op or military experience in manufacturing/supply chain or engineering + Demonstrated commitment to community and/or university involvement Benefits: Pay rates for this position begin at $20/hour and increase for each undergraduate year completed. Relocation support and housing assistance is available for those who relocate to a new city. Equal Opportunity Employer: _GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an_ Equal Opportunity Employer (******************************************************************************************************************************************************** _._ _Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law._ _This role requires access to U.S. export-controlled information. Therefore, employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident, U.S. Citizen, have been granted asylee or refugee status (i.e., a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3))._ **Additional Information** GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer (****************************************************************************************** . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). **Relocation Assistance Provided:** Yes GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

Job Title: Mechanical EngineerJob Description Join an innovative team in a challenging and rewarding position as a Mechanical Engineer, focusing on designing electronic packaging solutions for hand-held, tablet, and human-machine interface applications. You will engage with emerging technologies in embedded electronics, contributing to diverse industries including aerospace, defense, medical devices, and consumer electronics. Responsibilities + Design mechanical subsystems and components from concept through mass production, considering environmental factors, human factors, manufacturability, and cost. + Document designs with drawings and manage bill of materials, maintaining traceability in PDM and ERP systems. + Test and validate mechanical designs against requirements, including first article inspections (FAI). + Design mechanical fixtures for production test infrastructure, including high volume mass production. + Monitor manufacturing and assembly quality and engage in continuous improvement activities. + Manage manufacturer and vendor relationships and initial material requirements planning for prototypes. + Interface with global teams to manage design tradeoffs and report schedule and cost details to project management. Essential Skills + 3+ years of experience in designing products, preferably using SolidWorks. + Strong knowledge of printed circuit board layout mechanicals and mechanical design for rugged applications. + Bachelor's degree in Mechanical Engineering, Product Design, or a related technical field. + Proficiency in design for manufacturing (DFM) and working with 3D CAD, preferably SolidWorks. + Working knowledge of manufacturing processes such as injection molded plastics, sheet or machined metal designs, and 3D rapid manufacturing processes. + Ability to work on ITAR projects. Additional Skills & Qualifications + Familiarity with Six Sigma/Lean principles. + Expertise in human factors/user experience design and industrial design. + Experience in designing for rugged applications (e.g., MIL-STD-810, IPxx, ATEX). + Knowledge of electromechanical assemblies like LCDs, batteries, antennas, PCBs, buttons. + Experience with Product Data Management (PDM) and Enterprise Resource Planning (ERP) tools, particularly SolidWorks and SAP. + Experience working under ISO9001 and/or AS9100 quality systems, ITAR export controls. Work Environment This is a fully in-person role based in Rockville, MD, where you will work in a small, dynamic multi-disciplinary team of 30 members. The position offers a collaborative environment with exposure to cutting-edge technologies in embedded electronics. Job Type & Location This is a Contract to Hire position based out of Rockville, MD. Pay and Benefits The pay range for this position is $100000.00 - $110000.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: - Medical, dental & vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life & AD&D for the employee and dependents) - Short and long-term disability - Health Spending Account (HSA) - Transportation benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Rockville,MD. Application Deadline This position is anticipated to close on Jan 19, 2026. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email actalentaccommodation@actalentservices.com (%20actalentaccommodation@actalentservices.com) for other accommodation options.

As a Capital One Machine Learning Engineer (MLE) on the GenAI Workflows Serving team, you'll be part of an Agile team dedicated to designing, building, and productionizing Generative AI applications and Agentic Workflow systems at massive scale. You'll participate in the detailed technical design, development, and implementation of complex machine learning applications leveraging cloud-native platforms. You'll focus on building robust ML serving architecture, developing high-performance application code, and ensuring the high availability, security, and low latency of our Generative AI solutions. You will collaborate closely with multiple other AI/ML teams to drive innovation and continuously apply the latest innovations and best practices in machine learning engineering. What you'll do in the role The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and deliver GenAI models and componentsthat solve complex business problems, while working in collaboration with the Product and Data Science teams. Design and implement cloud-native ML Serving Platforms leveraging technologies like Docker, Kubernetes, KNative, and KServe to ensure optimized and scalable deployment of models. Solve complex scaling and high-availability problems by writing and testing performant application code in Python and Go-lang, developing and validating ML models, and automating tests and deployment. Implement advanced MLOps and GitOps practices for continuous integration and continuous deployment (CI/CD) using tools like ArgoCD to manage the entire lifecycle of models and applications. Leverage service mesh architectures like Istio to manage traffic, enhance security, and ensure resilience for high-volume serving endpoints. Retrain, maintain, and monitor models in production. Construct optimized, scalable data pipelines to feed ML models. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Go, Scala or Java Basic Qualifications: Bachelor's Degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, Go or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer San Francisco, CA: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).