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Machine Learning Postdoc Jobs in Virginia (NOW HIRING)

AI Research Scientist

Leesburg, VA · On-site

$150 - $200/hr

PhD in Computer Science, Machine Learning, Statistics, or related discipline (or equivalent ... Postdoctoral or industry research lab experience * Peer-reviewed publications, preprints, or ...

Experience integrating AI or machine learning approaches into environmental modeling * Experience ... Work closely with graduate students, postdoctoral associates, and visiting scientists * Participate ...

Showing results 41-58

Machine Learning Postdoc information

What is a machine learning postdoc?

A Machine Learning Postdoc is a research-focused position typically held after earning a Ph.D. in a related field. It involves conducting advanced research in machine learning, developing new algorithms, and publishing in top-tier conferences and journals. Postdocs often collaborate with faculty, industry partners, and other researchers to advance the state of the art in AI. The role may include mentoring students and contributing to grant proposals. It serves as a bridge between doctoral studies and a long-term academic or industry research career.

What are the typical responsibilities and collaborative aspects of a machine learning postdoc?

A Machine Learning Postdoc typically conducts original research, develops and tests new algorithms, and contributes to academic publications or patent applications. Daily tasks often involve data analysis, model building, and experimentation using advanced computational tools. Collaboration is key in this role, as postdocs frequently work alongside faculty, graduate students, and external industry partners to advance research objectives. Additionally, they may mentor junior researchers or students, present at conferences, and participate in grant writing or project planning. This mix of independent research and team collaboration fosters both professional growth and impactful scientific advancements.

What are the key skills and qualifications needed to thrive in a machine learning postdoc position?

To thrive as a Machine Learning Postdoc, you need a deep understanding of machine learning algorithms, statistical modeling, and research methodology, typically supported by a completed PhD in a related field. Proficiency with programming languages like Python or R, experience with ML libraries (e.g., TensorFlow or PyTorch), and familiarity with large-scale datasets and cloud computing platforms are important. Strong analytical thinking, effective communication, and the ability to collaborate across multidisciplinary teams are standout soft skills in this position. These qualifications ensure innovative research contributions, successful project execution, and effective dissemination of findings in both academic and applied settings.

What are the most commonly searched types of Machine Learning Postdoc jobs in Virginia?

The most popular types of Machine Learning Postdoc jobs in Virginia are:

What are popular job titles related to Machine Learning Postdoc jobs in Virginia?

For Machine Learning Postdoc jobs in Virginia, the most frequently searched job titles are:

Infographic showing various Machine Learning Postdoc job openings in Virginia as of September 2026, with employment types broken down into 100% Full Time. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution.

AI Research Scientist

Leesburg, VA • On-site

$150 - $200/hr

Other

Medical, Vision, Retirement, PTO

Posted 8 days ago


Job description

AKIVA is an AI-native engineering firm specializing in enterprise services, domain-specific solutions, and high-performance infrastructure from strategy through deployment. We build innovative systems that drive measurable results for commercial enterprises and government agencies. AKIVA is a certified Service-Disabled Veteran-Owned Small Business (SDVOSB).

Position Overview

Conduct applied and fundamental research in agentic systems, custom inference, and emerging AI paradigms. Publish, prototype, and translate breakthroughs into production capabilities used by enterprise and government clients.

Key Responsibilities
  • Lead original research in multi-agent systems, RL for tool use, custom inference, or post-training methods (RLHF, DPO, GRPO)
  • Author publications and technical reports; represent AKIVA at top-tier venues
  • Prototype novel architectures and evaluation methodologies
  • Collaborate with engineering to harden research artifacts into production systems
  • Mentor junior researchers and applied AI engineers
Required Qualifications
  • PhD in Computer Science, Machine Learning, Statistics, or related discipline (or equivalent research output)
  • Strong implementation skills in PyTorch and modern ML tooling
  • Track record of translating research into deployed systems
Preferred Qualifications
  • Postdoctoral or industry research lab experience
  • Peer-reviewed publications, preprints, or technical reports in relevant areas of AI, ML, or applied research
  • Open-source contributions to widely used ML libraries
  • Experience with reinforcement learning, mechanistic interpretability, or alignment research
Tools, Technologies & Frameworks

PyTorch, JAX, Hugging Face Transformers, Weights & Biases, Ray, custom training infrastructure

What AKIVA Offers
  • Professional development and skill-building opportunities
  • Supportive management team with Veteran-owned company values
  • Opportunity to work on impactful client engagements
  • Long-term contract engagement with potential for extension
  • AI productivity tools and training provided at no cost to employees
  • 401(k) with generous company match
  • Medical Insurance
  • Vision Insurance
  • Short-Term & Long-Term Disability Insurance
  • Paid Time Off (PTO)
  • Profit Sharing

AKIVA is a certified Service-Disabled Veteran-Owned Small Business (SDVOSB).

Equal Employment Opportunity Statement

AKIVA is committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, national origin, age, physical disability, marital status, military and Veteran status, or any other characteristic protected by applicable law. We believe that diversity among our teammates is critical to our success as a company, and we seek to recruit, develop, and retain the most talented people within a qualified candidate pool.

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