ZipRecruiter

Log In

2

Remote Machine Learning Researcher Jobs (NOW HIRING)

Jobgether

You will work at the intersection of machine learning research and systems engineering to develop ... Remote working arrangement with the flexibility to contribute from locations worldwide. * Direct ...

Quantum Machines

Machine Learning Engineer

Collaborate cross-functionally with product, R&D, and hardware teams, contributing to internal libraries, customer-facing SDKs, and training materials. Requirements * PhD/Master in Machine Learning ...

Weekday AI

Machine Learning & NLP Expert

$80 - $110/hr

... research are a plus. * Experience working with production-scale machine learning systems. Role Details * Employment Type: Independent Contractor * Work Arrangement: Fully Remote * Schedule:

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 ...

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 ...

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 ...

Spear AI

Machine Learning Engineer

Washington, DC · On-site +1

... * We're remote - Work from wherever you want. We collaborate in real time on Slack or ... Contributions to open-source ML projects or research publications * Experience in defense ...

System One

Machine Learning/AI Engineer

Merrifield, VA · Remote

Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and established 1099 options (no c2c ... Research and evaluate emerging technologies. * Develop data science solutions based on tools and ...

System One

Machine Learning/AI Engineer

Merrifield, VA · Remote

Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and established 1099 options (no c2c ... Research and evaluate emerging technologies. * Develop data science solutions based on tools and ...

System One

Machine Learning/AI Engineer

Merrifield, VA · Remote

Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and established 1099 options (no c2c ... Research and evaluate emerging technologies. * Develop data science solutions based on tools and ...

previous page

Showing results 41-60

All JobsRemote JobsTechnology JobsData JobsData Scientist JobsRemote Machine Learning Researcher Jobs

Remote Machine Learning Researcher information

See salary details

$30K

$113.1K

$164.5K

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.
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:

What are popular job titles related to Remote Machine Learning Researcher jobs?

For Remote Machine Learning Researcher jobs, the most frequently searched job titles are:

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.

Principal Applied Machine Learning Scientist

Remote

Omada Health
Health Care and Social Assistance • 501 - 1,000 employees
Learn more about Omada Healthexternal

Full-time

Medical, Dental, Vision, Retirement

Re-posted yesterday

Job description

Omada Health is on a mission to bend the curve of chronic disease.
Job overview:
Omada Health is looking for a Principal Applied ML Scientist to lead high-impact research and applied algorithm development focused on predicting where a member is headed next and identifying the intervention most likely to improve outcomes at a specific moment. The role sits at the intersection of machine learning research, causal decisioning, and healthcare product impact, translating longitudinal member data into clinically meaningful and operationally deployable algorithms. This position requires deep technical leadership, strong publication-quality rigor, and the ability to work cross-functionally with product, engineering, and clinical stakeholders.
Your Impact:
Health Trajectory Research
  • Lead research and development of individual- and population-level health trajectory models that predict future member states, risks, and likely progression paths using messy, real-world longitudinal healthcare data.
  • Produce high-quality experimental evidence and technical recommendations that can lead to tangible product features and have a real impact on individual and population health trajectories.

Next Best Action Algorithms
  • Lead the design of next-best-action algorithms that convert predicted trajectories into intervention decisions tailored to a member's current context and likely future path.
  • Research and apply advanced decision and recommendation policies to safely optimize intervention choice in a healthcare environment.
  • Define objective functions, reward signals, and policy constraints that balance engagement, clinical effectiveness, fairness, and operational feasibility, partnering with product and clinical teams to ensure outputs are actionable and interpretable.

Technical Leadership
  • Serve as the senior scientific lead for algorithmic and evaluation rigor in trajectories and next-best-action, setting standards for problem formulation, evaluation, and publication-quality analysis.
  • Mentor other scientists and data scientists on advanced methods in temporal modeling, reinforcement learning, and causal inference.
  • Collaborate closely with platform, MLOps, and product engineering teams to ensure research outputs can be productionized reliably and monitored appropriately.

About you:
  • Ph.D. in Computer Science, Statistics, Machine Learning, Biostatistics, Applied Mathematics or a related quantitative field is required, will consider a Master's with substantial, directly related experience at a senior level.
  • Multiple years of post-secondary education experience in machine learning research or applied research science, with a strong record of delivering novel algorithms or high-impact ML systems in production.
  • Deep expertise in time-series or longitudinal modeling, healthcare prediction, recommender systems, reinforcement learning, causal inference, or adjacent research areas relevant to trajectories and next-best-action decisioning.
  • Strong proficiency in Python and modern ML tooling, along with experience deploying models into production environments on cloud platforms such as AWS SageMaker or equivalent.
  • Demonstrated ability to translate ambiguous business questions into well-scoped technical problems, communicate tradeoffs clearly to non-technical stakeholders, and incorporate feedback into model and metric design.

Bonus Points for:
  • Background in healthcare, digital health, health plans/PBMs, or other complex, regulated industries.
  • Peer-reviewed papers, conference presentations or white papers in machine learning, reinforcement learning, causal inference or health AI.

Benefits:
  • Competitive salary with generous annual cash bonus
  • Equity grants
  • Employee stock purchasing plan (ESPP)
  • Remote first work from home culture
  • Flexible Time Off to help you rest, recharge, and connect with loved ones
  • Generous parental leave
  • Health, dental, and vision insurance (and above market employer contributions)
  • 401k retirement savings plan
  • Lifestyle Spending Account (LSA)
  • Mental Health Support Solutions
  • ...and more!

It takes a village to change health care. As we build together toward our mission, we strive to embody the following values in our day-to-day work. We hope these hold meaning for you as well as you consider Omada!
  • Cultivate Trust. We listen closely and we operate with kindness. We provide respectful and candid feedback to each other.
  • Seek Context. We ask to understand and we build connections. We do our research up front to move faster down the road.
  • Act Boldly. We innovate daily to solve problems, improve processes, and find new opportunities for our members and customers.
  • Deliver Results. We reward impact above output. We set a high bar, we're not afraid to fail, and we take pride in our work.
  • Succeed Together. We prioritize Omada's progress above team or individual. We have fun as we get stuff done, and we celebrate together.
  • Remember Why We're Here. We push through the challenges of changing health care because we know the destination is worth it.

About Omada Health: Omada Health (Nasdaq: OMDA) is reverse engineering the way healthcare is delivered in America, putting the space between doctor visits-where health is won or lost-at the center of care. Today's healthcare system poorly serves chronic conditions that require ongoing support outside of the exam room, like obesity, diabetes, hypertension, cholesterol, and musculoskeletal conditions. Omada's virtual-first model combines human-led care teams, connected devices, and AI-enabled technology to deliver personalized care at scale, including support for GLP-1 therapy. Omada has served more than two million members since launch across 2,000+ employers, health plans, pharmacy benefit managers, and health systems. Learn more at omadahealth.com.
Omada is thrilled to share that we've been certified as a Great Place to Work! Please click here for more information.
We carefully hire the best talent we can find, which means actively seeking diversity of beliefs, backgrounds, education, and ways of thinking. We strive to build an inclusive culture where differences are celebrated and leveraged to inform better design and business decisions. Omada is proud to be an equal opportunity workplace and affirmative action employer. We are committed to equal opportunity regardless of race, color, religion, sex, gender identity, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, or any other basis protected by local, state, or federal laws. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Below is a summary of salary ranges, by geographic zone, for this role*. These ranges represent a good faith estimate of the minimum and maximum base salary for the position in that zone at the time of posting. Please refer to this resource for detail on zone designations.
Zone 1: $270,480 - $338,100
Zone 2: $258,720 - $323,400
Zone 3: $235,200 - $294,000
Please note that zones may be updated as market data changes but we will honor the range applicable to your zone (which is determined by your location) as of your application date.
*The actual offer, including the compensation package, will be within the posted range for the relevant zone and will be determined based on multiple factors, such as the candidate's skills and experience, and other business considerations such as internal equity.
Please click here for more information on our Candidate Privacy Notice.

Apply