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Remote Machine Learning Researcher Jobs (NOW HIRING)

ManTech International

Machine Learning Engineer

$128K - $214K/yr

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 ...

Spotify

Machine Learning Engineer

... from research and development into production • Implement and monitor model success metrics ... machine learning models from research to production • Collaborative mindset, enjoy working ...

Spotify

Machine Learning Engineer

... from research and development into production • Implement and monitor model success metrics ... machine learning models from research to production • Collaborative mindset, enjoy working ...

PTP

Machine Learning Engineer - REMOTE

Austin, TX · On-site +1

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 ...

Apex Informatics

Machine Learning Engineer

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 ...

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site +1

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

Multi Media LLC

Machine Learning Engineer

$180K - $200K/yr

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 Jul 15, 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:
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What job categories do people searching Remote Machine Learning Researcher jobs look for? The top searched job categories for Remote Machine Learning Researcher jobs are:
Remote Machine Learning Researcher jobs near you
Infographic showing various Remote Machine Learning Researcher job openings in the United States as of July 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.
Senior Machine Learning Engineer (Remote)

Senior Machine Learning Engineer (Remote)

Zencastr

New York, NY • On-site, Remote

$114K - $157K/yr

Full-time

Posted 28 days ago

Job description

The Role
We build end-to-end AI systems, core microservices, and infrastructures by leveraging cutting-edge technologies to impact millions with personalized user experiences everyday.
We are looking for an outstanding machine learning engineer to join our team! The role will provide an opportunity to work on large scale machine learning to improve the podcast creation experience at Zencastr.
You'll join a team of hardworking engineers that are passionate about understanding what drives users' long-term happiness with Zencastr, and how our recommendations and content affects that. As an integral part of the squad, you will collaborate with research scientists, data scientists and other engineers in prototyping and productizing brand-new ML at the intersection of speech processing and long-term user satisfaction.
What You'll Do..
  • Design, research and develop state-of-the-art machine learning applications and algorithms to improve the lives of podcasters and podcast listeners around the world
  • Collaborate with engineering partners and colleagues in large multi-functional efforts to build new product features that advise and enrich Zencastr's various ML services.
  • Drive forward audio and text capabilities within the ML team
  • Work with some of the brightest minds in signal processing

If This Describes You..
  • A postgraduate degree in Machine Learning, Mathematics, Computer Science, or a related quantitative field
  • 5 + years experience in Python
  • 3+ years experience in machine learning research, with a focus on speech
  • 3+ years experience training or deploying neural networks
  • Significant experience with machine learning libraries like PyTorch, Tensorflow, Scikit-Learn
  • Experience with building and operating production-ready ML systems
  • Ability to lead design and implementation of major software components, systems, and features
  • You enjoy quickly building model prototypes
  • Experience with cloud technologies (Google Cloud, AWS, Modal)
  • You are a self-starter who drives your own projects and builds positive relationships with partners and colleagues to solve big multi-functional efforts from start to finish. You are able to succeed with minimal mentorship and process.

Bonus points if you have:
  • Publications in peer-reviewed journals from a related field
  • Experience with modern speech processing frameworks
  • Good dev ops experience
  • Advanced DSP experience
  • MongoDB or SQL experience
  • Experience with unit, integration, and load testing
  • Experience building APIs
  • Experience with Docker containers, Implementing Docker Containers, Container Clustering
  • Experience with container orchestration technology such as Kubernetes a big plus

How to apply:
Apply at https://jobs.ashbyhq.com/zencastr/c6a9c3b0-f260-4820-bb97-e78142eabd1e
We are flexible! For the right candidate we ask: What do you need to do your best work?

Apply