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Remote Machine Learning Postdoc Jobs in Washington, DC

Engineer 6, Machine Learning, Data & AI

Reston, VA · On-site +1

$119K - $143K/yr

... remote option.) Job Summary We are seeking a visionary Senior Technologist, Data & Agentic AI ... Experience supporting AI, machine learning, advanced analytics, or data modernization initiatives.

Engineer 6, Machine Learning, Data & AI

Washington, DC · On-site +1

$129K - $155K/yr

... remote option.) Job Summary We are seeking a visionary Senior Technologist, Data & Agentic AI ... Experience supporting AI, machine learning, advanced analytics, or data modernization initiatives.

Maintain current in emerging tools and techniques in machine learning, statistical modeling, and ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Maintain current in emerging tools and techniques in machine learning, statistical modeling, and ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Showing results 21-40

Remote Machine Learning Postdoc information

What is a remote machine learning postdoc?

A Remote Machine Learning Postdoc is a postdoctoral researcher specializing in machine learning who works predominantly or entirely from a location outside their host institution, often from home. Their work involves conducting advanced research, developing new algorithms, analyzing data, and publishing findings related to machine learning while collaborating virtually with faculty and research teams. This role is ideal for researchers seeking flexibility or those who cannot relocate but wish to contribute to academic or industrial research from a distance.

What are the key skills and qualifications needed to thrive as a remote machine learning postdoc?

A Remote Machine Learning Postdoc requires a PhD in computer science, statistics, or a related field, with expertise in machine learning algorithms, statistical modeling, and research methodologies. Proficiency in programming languages like Python or R, experience with machine learning frameworks such as TensorFlow or PyTorch, and familiarity with version control systems (e.g., Git) are typically necessary. Strong written and verbal communication, self-motivation, and collaboration skills are vital for remote research and effective teamwork. These capabilities enable impactful independent research, smooth collaboration across distributed teams, and the successful dissemination of findings to the wider scientific community.

What are some common challenges faced by remote machine learning postdocs when collaborating with research teams?

Remote machine learning postdocs often encounter challenges related to communication and coordination, especially when working across different time zones or with teams that have varying schedules. Effective collaboration usually requires proactive communication through virtual meetings, shared code repositories, and regular progress updates. Building rapport with colleagues and staying engaged with ongoing research discussions can take extra effort remotely, but leveraging collaborative tools and participating in virtual seminars or group chats can help bridge the gap. Being organized and self-motivated is key to ensuring productive contributions to the team’s research objectives.

What are the most commonly searched types of Machine Learning Postdoc jobs in Washington, DC?

The most popular types of Machine Learning Postdoc jobs in Washington, DC are:

What are popular job titles related to Remote Machine Learning Postdoc jobs in Washington, DC?

For Remote Machine Learning Postdoc jobs in Washington, DC, the most frequently searched job titles are:

Senior Machine Learning Engineer

AHU Technologies Inc

Washington, DC • Remote

$150K - $300K/yr

Full-time

Posted 26 days ago


Job description

Location: United States - remote
Visa: US Citizens or Green Card Holders
Fluency in Chinese/Mandarin is required, so only reach out exclusively to candidates of Chinese ethnic background.
What you will own
  • Build recommendation and search across feed, discovery, search, and content continuation.
  • Own retrieval/ranking: candidate generation, embeddings, two-tower models, features, and serving quality.
  • Design, launch, and analyze recommendation/search experiments.
Requirements
  • 5+ years industry experience building production ML systems with senior ownership.
  • Bachelor's degree from a recognized university in China is required 
  • Hands-on recommendation, search, ranking, ads ranking, feed ranking, or content discovery systems.
  • Consumer apps, entertainment, social, gaming, creator, or engagement-driven products.
  • Two-tower models, embedding retrieval, candidate generation, ranking, and online/offline evaluation.
Hard filters
  • 5+ years industry experience building production ML systems with senior ownership.
  • Hands-on recommendation, search, ranking, ads ranking, feed ranking, or content discovery systems.
  • Consumer apps, entertainment, social, gaming, creator, or engagement-driven products.
  • Two-tower models, embedding retrieval, candidate generation, ranking, and online/offline evaluation.
Strong fit
  • Build recommendation and search across feed, discovery, search, and content continuation.
  • Own retrieval/ranking: candidate generation, embeddings, two-tower models, features, and serving quality.
  • Background in the entertainment or social media industry (e.g., TikTok, Pinterest, Instagram). 
  • Design, launch, and analyze recommendation/search experiments.
Bonus:
  • Bonus signal: 5+ years production ML
  • Bonus signal: recommendation systems
  • Bonus signal: search ranking
  • Bonus signal: embedding retrieval
Anti-signals
  • Cannot show core Senior Machine Learning Engineer, Recommendation experience
  • Not comfortable with the listed work mode
  • Low ownership, coordination-only, or no shipped examples

This is a remote position.