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Remote Machine Learning Researcher Jobs (NOW HIRING)

General information Requisition # R67616 Locations USA-Remote Work Posting Date 05/19/2026 Security ... The Machine Learning Engineer will leverage their strong technical background and knowledge to ...

With at least 2 years industry experience (post Masters or PhD) in a commercial, non-research ... This Role As a Machine Learning Engineer, you'll work closely with our Data Scientists, Simulation ...

With at least 2 years industry experience (post Masters or PhD) in a commercial, non-research ... We have hybrid offices in London, New York, and Singapore; this role is remote based in the San ...

Research and implement ML algorithms for a variety of business problems * Automate processes for ... Machine learning (ML) algorithms * Predictive modeling and analysis * Data visualization software ...

Senior Machine Learning Engineer

Boston, MA ยท On-site +1

$174K - $287K/yr

You will collaborate with our technical and research teams to develop LLM training and deployment ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Remote We are seeking an Applied Machine Learning Engineer with a strong focus on practical solutions and software development (ability to work on both open-ended research problems and production ...

Familiarity with CNNs, RNN, LSTMs, and the latest research trends. * Experience implementing, deploying, and maintaining production machine learning systems. * Experience monitoring and optimizing ...

This is a fully remote position, allowing you to work from home or location of record within the U ... Machine Learning Engineer Position Overview Paylocity is growing its Machine Learning Engineering ...

The Role We are looking for a Machine Learning Engineer to join our Artificial Intelligence and ... Fully Remote Optional * Health, Vision, Dental, and Life Insurance for you and any dependents, with ...

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Remote Machine Learning Researcher information

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$30K

$113.1K

$164.5K

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

As of Jun 24, 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 are Remote Machine Learning Researchers?

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, and why are they important?

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.
More about Remote Machine Learning Researcher jobs
What cities are hiring for Remote Machine Learning Researcher jobs? Cities with the most Remote Machine Learning Researcher job openings:
What are the most commonly searched types of Machine Learning Researcher jobs? The most popular types of Machine Learning Researcher jobs are:
What states have the most Remote Machine Learning Researcher jobs? States with the most job openings for Remote Machine Learning Researcher jobs include:
Infographic showing various Remote Machine Learning Researcher job openings in the United States as of June 2026, with employment types broken down into 60% Full Time, 20% Part Time, and 20% Contract. Highlights an 100% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.
Machine Learning Research Scientist (Remote)

Machine Learning Research Scientist (Remote)

GroupSolver

San Diego, CA โ€ข Remote

Full-time

Posted 9 hours ago


Job description

GroupSolver is a market research tech startup based in San Diego with offices in Utah and Kosice, Slovak Republic. Combining AI and Crowd Intelligence, our technology helps decision makers and researchers find insights, which would otherwise remain hidden from traditional online surveys. Our clients include leading companies such as Google, Adidas, General Mills, Discovery, Lenovo, and Amazon.

  • Research and development: work with and develop state-of-the-art NLP models to improve conventional market research practices.

Basic Qualifications:

  • MS/PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related field.
  • 2+ years of hands-on experience in predictive modeling, ML or large data analysis
  • Algorithm and model development experience for large-scale applications
  • Proficiency in at least one of the following languages: Python, R/Matlab, Java
  • Comfortable working with teams in different time zones, (USA, Europe)
  • Good communication skills, ability to explain technical concepts to non-technical audiences.

Preferred Qualifications:

  • Strong understanding of Transformer architecture and Attention mechanisms.
  • 2 years of experience in NLP
  • Familiarity with spaCy, AllenNLP, Gensim, Pytorch, Tensorflow, Deep Learning
  • Knows the difference between RNN, CNN, LSTM, GANs.
  • Familiar with Meta AI, Deepmind, Google AI, OpenAI and other big players.