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Remote Ml Researcher Jobs (NOW HIRING)

Mercor

ML Research Engineer - PhD

San Francisco, CA · Remote

$75 - $90/hr

Position: Human Baseliner for Open-Ended ML Research Tasks Type: Contract Compensation: $75-$90 ... Remote Commitment: 20+ hours/week Role Responsibilities * Attempt open-ended machine learning ...

Mortenson

AI Researcher

Minneapolis, MN · On-site +1

$130K - $195K/yr

This position is eligible for remote work, pending approval. THIS ROLE IS NOT ELIGIBLE FOR VISA ... ML, NPL, computer vision, GenAI) for use cases in construction, safety, scheduling, design and ...

Orbofi

Conducting research on the latest advancements in AI/ML and incorporating those findings into ... Enjoy a flexible work environment, with opportunities for remote work and a healthy work-life ...

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$113.1K

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How much do remote ml researcher jobs pay per year?

As of Jul 28, 2026, the average yearly pay for remote ml researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by remote ML researchers and how can they overcome them?

Remote ML researchers often encounter challenges such as limited real-time collaboration, managing large datasets remotely, and ensuring consistent communication with their teams. Overcoming these obstacles typically involves leveraging collaboration tools (like Slack, GitHub, and Zoom), setting up efficient remote access to computational resources, and establishing regular check-ins with colleagues. Building a proactive communication routine and sharing progress updates can help maintain team alignment and foster a sense of connection, even when working from different locations.

What are Remote ML Researchers?

Remote ML Researchers are professionals who specialize in machine learning (ML) and conduct their research while working outside of a traditional office environment, often from home or other remote locations. They design, implement, and evaluate algorithms, models, and systems to solve complex data problems, collaborating virtually with teams and stakeholders. Their work can span industries like technology, healthcare, finance, and more, and typically involves tasks such as data analysis, model development, and publishing research findings. Remote ML Researchers rely heavily on digital communication tools and cloud-based platforms to share ideas, code, and results.

What are the key skills and qualifications needed to thrive as a Remote ML Researcher, and why are they important?

To thrive as a Remote ML Researcher, you need a strong background in machine learning theory, programming (Python, TensorFlow, PyTorch), and a relevant degree such as computer science or statistics. Familiarity with cloud computing platforms, distributed systems, version control (Git), and experience publishing in peer-reviewed journals are commonly required. Excellent problem-solving skills, self-motivation, and effective written communication are crucial for collaborating remotely and sharing findings. These skills ensure high-quality research output, successful collaboration in distributed teams, and ongoing advancement in the fast-evolving field of machine learning.
More about Remote Ml Researcher jobs
What cities are hiring for Remote Ml Researcher jobs? Cities with the most Remote Ml Researcher job openings:
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Remote Ml Researcher jobs near you
Infographic showing various Remote Ml Researcher job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 95% Full Time, 1% Part Time, 2% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.
Senior Machine Learning Researcher (Remote - US)

Senior Machine Learning Researcher (Remote - US)

Compound Eye, Inc

Remote

$175K - $300K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Job description

Compound Eye enables machines to understand their surroundings in 3D and in real time using only passive sensors like cameras and IMUs. Our VIDAS™ technology takes video from automotive-grade cameras and outputs a dense, semantic 3D representation of the world that vehicles and robots can use to navigate their environment. VIDAS is a fully redundant alternative to LiDAR and radar. Compound Eye has customers in automotive, agriculture, healthcare, and defense and is backed by Khosla Ventures and other leading investors.
Compound Eye is looking for a researcher- engineer who thrives on experimentation. You read new papers for fun, know when to adopt and when to question the latest architectures, and can turn academic ideas into practical prototypes. You want to take on world-class problems in computer vision and robotics where you may have unlimited resources during training but challenging constraints at inference.
You'll focus on hands-on experimentation, exploration, and deep technical contribution. You'll run your own experiments, propose hypotheses, and share results that help guide our next generation of ML systems.
Responsibilities
  • Plan, design, and run experiments to evaluate and refine deep learning architectures and training methodologies.
  • Research, implement, and adapt new algorithms and model architectures from recent ML papers, particularly those relevant to perception, localization, and scene understanding.
  • Collaborate closely with talented engineers to translate research insights into robust, deployable models.
  • Build on our unpublished research and state of the art approaches for geometric computer vision.
  • Stay current with the latest research in machine learning, deep learning, and AI, ensuring new developments are thoughtfully incorporated into our technology roadmap.
  • Conduct exploratory experiments on novel approaches; document and share findings that inform future production work.
  • Participate in project planning, reviews, and retrospectives, contributing technical expertise and mentorship where appropriate.
  • Publish original research.

To thrive in this role you have
  • M.S. or Ph.D. in Machine Learning, Computer Science, or a related field or equivalent experience demonstrating deep fluency in modern ML methods.
  • Familiarity with version-controlled experimentation and MLOps tools.
  • Demonstrated ability to read, interpret, and implement research papers.
  • Experience independently running and evaluating experiments from dataset preparation through model training and analysis.
  • Excellent problem-solving skills and the ability to translate research insights into practical, high-impact solutions.
  • Clear written and verbal communication skills for articulating technical concepts to both research and engineering audiences.

Nice to have
  • Publications in major ML or AI conferences or equivalent contributions to applied ML research.
  • Active engagement with the ML research community, staying current with conferences, open-source releases, and emerging methods.

Compensation & Benefits
  • Base salary: $175,000 to $300,000, depending on experience.
  • Strong Incentive Stock Options (ISO)
  • Medical, dental, and vision insurance
  • Annual home office stipend
  • Employer-paid long-term disability, short-term disability, and life insurance
  • 401(k) with employer match after 6 months
  • Flexible PTO and 8 holidays + 2 week winter break
  • Paid family leave
  • Quarterly onsites in San Francisco

We're looking for a great engineer to join our US team of 20. Our mission is to teach machines to see. Our culture is based on transparency, mutual respect, mutual accountability, and valuing great ideas no matter where they come from. We already have revenue and our Series A round was led by a tier one VC. We are a remote-first company with employees across the United States. We had remote employees long before the pandemic and our team is now distributed across three states. We will ensure you have everything you need to work from home and the option to work from an office when it is safe to do so. We also offer competitive benefits including comprehensive health care plans, 401k with matching, flexible schedules, and discretionary PTO.
Compound Eye is committed to building a diverse and inclusive work environment. We understand that no candidate is perfectly qualified for any job and experience comes in different forms. We encourage you to apply if you see yourself being successful in this position.
Compound Eye is an Equal Opportunity Employer and a VEVRAA Federal Contractor. We do not discriminate based on race, color, religion, sex, national origin, disability, or protected veteran status.
This position requires access to technology controlled under the International Traffic in Arms Regulations (ITAR). Applicants must be a U.S. person as defined under ITAR (U.S. citizen, lawful permanent resident, asylee, or refugee) or qualify for a license exception.
Compound Eye Applicant and Worker Privacy Notice
Compound Eye Applicant and Worker Privacy Notice

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