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Remote Machine Learning Researcher Jobs (NOW HIRING)

Astera Institute

$150K - $300K/yr

Machine learning is a general and scalable solution, but it is not uniformly sample efficient. The Astera Institute is seeking a Machine Learning Researcher to help surmount this barrier with new ...

Roboflow

Machine Learning Research Engineer

The Machine Learning Research Engineer will develop novel methods and contribute to the research ... Founded in 2019, the company is headquartered in Remote, USA, with a team of 51-200 employees. The ...

Roboflow

Machine Learning Research Engineer

The Machine Learning Research Engineer will develop novel methods and contribute to the research ... Founded in 2019, the company is headquartered in Remote, USA, with a team of 51-200 employees. The ...

MatrixSpace

Machine Learning Engineer

Burlington, MA · Remote

$165K - $200K/yr

Help us bridge machine learning research and real-world deployment! MatrixSpace develops AI-enabled ... S. government security clearance in the future.' This is NOT a fully remote position! Required ...

Terra AI

Senior/Staff Machine Learning Researcher

By combining advanced machine learning, probabilistic modeling, and deep geoscience expertise, Terra AI helps exploration and mining companies make faster, more informed subsurface decisions with ...

GroupSolver

Machine Learning Research Scientist

They are seeking a Machine Learning Research Scientist to work on developing state-of-the-art NLP models to enhance market research practices. Responsibilities : • Research and development: work ...

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$30K

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How much do remote machine learning researcher jobs pay per year?

As of Sep 14, 2026, the average yearly pay for remote machine learning 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 is a remote machine learning researcher?

Remote Machine Learning Researchers are professionals who study, design, and develop machine learning algorithms and models while working outside of a traditional office environment. They typically analyze data, conduct experiments, and collaborate with teams or organizations virtually to advance artificial intelligence technologies. Their work may involve tasks such as building predictive models, publishing research papers, or contributing to open-source machine learning projects. Being remote allows them flexibility in location and often the ability to work with international teams. Strong programming, mathematical, and communication skills are essential in this role.

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

To thrive as a Remote Machine Learning Researcher, you need a strong background in mathematics, statistics, programming (Python, R), and a relevant advanced degree such as a Master's or Ph.D. in computer science or a related field. Familiarity with machine learning frameworks (TensorFlow, PyTorch), cloud computing platforms, and version control systems (Git) is typically required, along with published research or contributions to academic conferences. Outstanding problem-solving ability, self-motivation, and excellent written communication are crucial soft skills for remote collaboration and knowledge sharing. These skills are essential for developing innovative models, contributing to cutting-edge research, and effectively collaborating in a distributed team environment.

What are the common challenges faced by remote machine learning researchers when collaborating with global teams?

Remote machine learning researchers often collaborate with team members across different time zones and cultural backgrounds, which can make synchronous meetings and real-time problem-solving challenging. Communication of complex ideas, such as model architectures or experimental results, may require extra effort through detailed documentation and regular virtual check-ins. However, most organizations use collaborative tools like version control systems, project management platforms, and video conferencing to bridge these gaps, ensuring that research progress stays on track and team members remain aligned.
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Remote Machine Learning Researcher jobs near you
Infographic showing various Remote Machine Learning Researcher job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.

Machine Learning Researcher - Springtail

Remote

Astera Institute
Scientific Research and Development Services • 1 - 10 employees
Learn more about Astera Instituteexternal

$150K - $300K/yr

Full-time

Posted 19 days ago

Job description

About Astera

Astera is a private foundation on a mission to steer science and technology toward an abundant future. We believe the coming years will bring an era of unprecedented scientific and technological advancement as exponential progress in AI converges with central advances in other fields to dramatically accelerate innovation. This inflection point provides an unparalleled opportunity to fundamentally rethink the institutions, systems, and tools that drive scientific progress.

Unlike traditional non-profit research organizations, Astera funds and operates projects like high-velocity startups, allowing us to focus on ambitious goals, match structure to problem, and attract strong technical talent and leadership. You can read more about our mission, vision, and programming here.

Position Summary

Datasets in many areas, science in particular, are often small, heterogeneous, and expensive. Human scientists can take these datasets and generate models to describe them, but this process of model induction is labor-intensive and error-prone. Machine learning is a general and scalable solution, but it is not uniformly sample efficient.

The Astera Institute is seeking a Machine Learning Researcher to help surmount this barrier with new architectures for data-efficient and general model induction. This includes bootstrapped program synthesis, along with components for a system that synthesizes its own learning algorithms - a machine learning strange loop. This is a full time position that reports to Timothy Hanson.

Responsibilities

  • Hypothesize, test, and refine means of improving generalization performance of common architectural elements, including different forms of attention. This includes devising controlled datasets to elucidate e.g. learning order & learned representations.

  • Think both mathematically and empirically about problems of runtime inference in gradient-trained networks, with an eye to the extensive literature on statistical learning and an open mind to the many forms of constrained optimization.

  • Contribute to a well-documented and well-instrumented code base that is performant where necessary yet expeditious where experimental throughput demands.

Qualifications and Experience

  • Masters or equivalent in machine learning, mathematics, or equivalent fields (strong candidates from neuroscience are encouraged to apply).

  • Fluency with Pytorch, and familiarity with JAX, CUDA, and/or Triton + their open-source ecosystems.

  • Demonstrated ability do fundamental research.

  • Demonstrated ability to work in teams.

Location

This position is hybrid at our office in Emeryville, CA. Some travel may be required from time-to-time for in-person collaboration and work.

Compensation

The posted salary range is based on location in the Bay Area. The successful candidate will receive a competitive compensation package, commensurate with their experience and location.

  • Benefits summary

Compensation Range: $150K - $300K