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Remote Ml Researcher Jobs (NOW HIRING)

Reddit

Staff Technical Product Manager, Ads ML Platform

$170K - $197K/yr

Conduct regular user research with MLEs in Ranking, Creative Effectiveness and Content ... Perks and Benefits: * 100% remote opportunity (we have 4 office locations for hybrid/onsite work ...

Elicit

ML Research Resident

Oakland, CA · On-site +1

$15K/mo

Elicit is building a research agent that can use an unlimited amount of test-time compute while ... In-person (Oakland) or remote (US) * Potential of full-time offer for exceptional candidates ...

NextSense

Senior ML/Research Scientist

Mountain View, CA · On-site +1

$116K - $148K/yr

About the Job: As a ML/Research Scientist, you will play a crucial role in developing next ... Mountain View, CA (not a remote position) Employment Eligibility: At this time NextSense is only ...

NextDeavor Inc.

Senior AI Researcher

New York, NY · On-site +1

$150K - $220K/yr

New York preference but open to remote; you must work EST hours. Here's How You'll Make an Impact ... Demonstrated original ML research output (published papers, widely cited preprints, significant OSS ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... POSITION SPECIFICS We are seeking a highly motivated researcher to join our Comprehensive Software ...

Quantiphi, Inc.

Architect ML - AI Researcher

$65.25 - $84/hr

USA - Remote Role Overview: As an ATA Machine Learning Engineer in healthcare, you'll deliver multi ... Apply GenAI and LLM-based ML/AI techniques to develop, scale, and integrate model systems and ...

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How much do remote ml researcher jobs pay per year?

As of Aug 17, 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 is a remote ML researcher?

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.

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.
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Infographic showing various Remote Ml Researcher job openings in the United States as of August 2026, with employment types broken down into 8% Internship, 75% Full Time, and 17% Contract. Highlights an 100% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.

Senior AI/ML Applied Scientist - Remote

UnitedHealth Group

Bellevue, WA • On-site, Remote

$130K - $162K/yr

Full-time

Retirement

Re-posted 29 days ago

UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

189th of 887 rated healthcare providers

Job description

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.
Optum AI is UnitedHealth Group's enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform.
Optum AI team members:
  • Have impact at scale: We have the data and resources to make an impact at scale. When our solutions are deployed, they have the potential to make health care system work better for everyone
  • Do ground-breaking work: Many of our current projects involve cutting edge ML, NLP and LLM techniques. Generative AI methods for working with structured and unstructured health care data are continuously being developed and improved. We are working in one of the most important frontiers of AI/ML research and development
  • Partner with world-class experts on innovative solutions: Our team members are developing novel AI/ML solutions to business challenges. In some cases, this includes the opportunity to file patents and publish papers about the methods we develop. We also collaborate with AI/ML researchers at some of the world's top universities

You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
Primary Responsibilities:
  • Developing and implementing models and methods that extend and improve LLM capabilities and reliability
  • Research, design and implement scalable machine learning models for real-time processing
  • Developing new solutions and science best practices in Responsible AI
  • Developing our research and innovation agenda
  • Defining the strategies, priorities, and metrics for technical progress in Deep Learning, RAG and LLMs
  • Collaborating with the Optum AI team and fellow scientist and engineers
  • Driving adoption of new science and best practices among service teams

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
  • Ph.D. in Machine Learning with focus on NLP and/or GenAI or a Master degree in computer science or related quantitative field
  • 5+ years of experience using ML to solve problems in natural language processing (NLP), multimodal RT processing, and/or other AI domains
  • 3+ years of experience in Generative AI, grounding architectures, fine-tuning LLMs and/or improving pre-train LLM's performance
  • 3+ years of DL frameworks such as PyTorch and/or TensorFlow
  • 3+ years of developing machine learning applications
  • 3+ years of solid NLP research and developing experience

Preferred Qualifications:
  • Experience with Advanced Deep Learning, applied math and statistics
  • Experience developing and refining graph science methods and LLMs
  • Experience developing agentic frameworks to empower autonomous agent
  • Proven solid technical and scientific knowledge about generative AI

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $130,000 to $162,500 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
#optumaiscience
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
#OptumTechPJ

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