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Weekend Machine Learning Postdoc Jobs in Washington

Post-Doctoral Associate

College Park, MD

$48K - $65K/yr

The postdocs will write and publish academic papers to present research results at top venues in computer vision, computer graphics and machine learning. The postdoc may also organize and participate ...

... machine learning, and artificial intelligence. • Supervise and mentor undergraduate and graduate students, postdoctoral scholars, and junior researchers. • Collaborate with faculty across ...

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Weekend Machine Learning Postdoc information

What is the difference between Weekend Machine Learning Postdoc vs Weekend Data Scientist?

AspectWeekend Machine Learning PostdocWeekend Data Scientist
Required CredentialsPhD in Computer Science, Machine Learning, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentAcademic research settings, universities, research labsIndustry companies, startups, consulting firms
Employer & Industry UsageResearch institutions, universities, academic grantsTech companies, finance, healthcare, retail
Common Search & ComparisonYesYes

The Weekend Machine Learning Postdoc typically involves academic research with a focus on advancing machine learning theories and models, often requiring a PhD. In contrast, a Weekend Data Scientist applies data analysis and machine learning techniques in industry settings, often with a bachelor's or master's degree. Both roles may work on similar projects but differ mainly in their environment, credentials, and end goals.

What are the typical projects and collaboration opportunities for a Weekend Machine Learning Postdoc?

As a Weekend Machine Learning Postdoc, you will often contribute to ongoing research projects, developing and refining machine learning models in collaboration with faculty, graduate students, and occasionally industry partners. While your hours are concentrated on weekends, you’ll typically participate in regular research meetings, code reviews, and may co-author papers or grant proposals. The role provides opportunities to mentor junior researchers and expand your expertise by working on interdisciplinary teams. This structure allows you to make significant research contributions while maintaining flexibility in your schedule.

What is a Weekend Machine Learning Postdoc?

A Weekend Machine Learning Postdoc is a postdoctoral researcher who focuses on machine learning projects and typically works on weekends or has a flexible schedule that includes weekend hours. This role often involves conducting advanced research in machine learning, developing algorithms, publishing papers, and collaborating with academic or industry teams. Weekend postdoc positions may be ideal for those balancing other commitments or seeking non-traditional work hours while continuing their research careers.

What are the key skills and qualifications needed to thrive as a Weekend Machine Learning Postdoc, and why are they important?

To thrive as a Weekend Machine Learning Postdoc, you need a strong background in machine learning, statistics, and programming, typically supported by a PhD in a relevant field. Experience with tools such as Python, TensorFlow, PyTorch, and data analysis platforms, as well as familiarity with academic research methodologies, is essential. Exceptional problem-solving abilities, self-motivation, and effective communication are vital soft skills for success in research and collaboration. These skills enable you to drive innovative research, efficiently manage independent projects, and contribute meaningful insights to the field.
What are the most commonly searched types of Machine Learning Postdoc jobs in Washington? The most popular types of Machine Learning Postdoc jobs in Washington are:
What are popular job titles related to Weekend Machine Learning Postdoc jobs in Washington? For Weekend Machine Learning Postdoc jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Weekend Machine Learning Postdoc jobs in Washington look for? The top searched job categories for Weekend Machine Learning Postdoc jobs in Washington are:
What cities in Washington are hiring for Weekend Machine Learning Postdoc jobs? Cities in Washington with the most Weekend Machine Learning Postdoc job openings:
2026 PhD Graduate - Artificial Intelligence and Complex Systems Postdoc Researcher

2026 PhD Graduate - Artificial Intelligence and Complex Systems Postdoc Researcher

The Johns Hopkins University Applied Physics Laboratory

Laurel, MD • On-site

$115K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Description

Are you eager to use artificial intelligence (AI) to unlock insights from complex, high-dimensional data towards national security impact?

Do you want to bring innovative AI to real-world challenges in domains such as materials science, biology, chemistry, and advanced manufacturing?

Are you pursuing studies in AI, machine learning, or a related field - and looking for a Postdoc role where you can push the boundaries of AI for Science in interdisciplinary and high-impact ways?

If so, we'd love to meet you!

We are seeking a creative Postdoc problem solver with strong technical capabilities and initiative to join our team in taking on challenges in complex systems. The Complex Systems Group, part of the Intelligent Systems Center (www.jhuapl.edu/isc), conducts research at the intersection of AI and complex systems, with an emphasis on advancing capabilities in machine learning-based surrogate models, scientific automation, AI-assisted reasoning, and AI-guided design. We develop methods to drive discovery and design across scientific and engineering domains towards national security impact. This may include AI research in materials, protein engineering, chemistry, earth systems, and other physical and biological systems.

As a Postdoc researcher in our group, your primary responsibility will be contributing to and leading AI for Science projects with national security implications. As a member of our research team, you will contribute to AI for Science projects by creating, adapting, and evaluating modern AI methods including machine learning models, frontier AI systems, agentic workflows, physics- and domain-informed learning, AI-driven surrogate models, and closed-loop discovery architectures for scientific and engineering problems. You will establish collaborations with science and engineering domain experts and seek opportunities to propose your ideas for funding. You will also establish working relationships with our Program Managers to identify opportunities to grow our work in key areas for our sponsors. You will publish your research in impactful venues and engage with the external research community, external collaborators, and sponsors.


Qualifications

You meet our minimum qualifications for the job if you:

  • Have a PhD degree in a relevant field such as AI, Mathematics, Statistics, Computer Science, Data Science, or Engineering.

  • Have published previous research in peer-reviewed journals and/or conferences.

  • Have experience in one or more key technical skills, including modern AI/ML methods, deep learning, foundation models, agentic workflows, physics- or domain-informed ML, AI-driven surrogate modeling, diffusion modeling, neural operators, graph neural networks, large language models, or symbolic AI.

  • Are proficient in Python and developing AI/ML software.

  • Have experience with containerized, cloud, High Performance Computing (HPC), or distributed computing environments.

  • Are able to obtain an Interim Secret security clearance by your start date and can ultimately obtain a Top Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You'll go above and beyond our minimum requirements if you:

  • Have background knowledge in a science or engineering discipline such as materials, chemistry, biology, or advanced manufacturing.

  • Are skilled in project management or leading technical teams.

  • Have experience writing technical proposals, particularly for government research sponsors.

  • Have experience applying AI/ML to real-world data such as remote sensing data, materials data, omics data, or additive manufacturing related data.

  • Have experience with relevant Python-based AI and scientific computing tools, such as PyTorch, JAX, or related libraries.


About Us

Why Work at APL?

The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.

At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities athttps://www.jhuapl.edu/careers.

All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law.APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contactAccessibility@jhuapl.edu.

The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.


Minimum Rate
$85,300 Annually
Maximum Rate
$155,500 Annually