Remote ML Research Engineer Jobs
Remote ML Research Engineer jobs are open across the U.S. at remote-first firms and distributed teams in sectors including AI infrastructure, enterprise software, biotech, and defense. Employers hiring remote ml research engineers right now include CVS Health, Alvarez & Marsal, and Netflix. Find a role that fits below and apply directly.
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We're Blue River, a team of innovators driven to create intelligent machinery that solves monumental problems for our customers. We empower our customers – farmers, construction crews, and foresters - to implement safer and more sustainable solutions, driving increased profitability with less reliance on scarce labor. We believe that focusing on the small stuff – pixel-by-pixel and task-by-task - leads to big gains.
Blue River Technology aligns with John Deere's vision to "innovate on behalf of humanity" by quickly identifying and solving high-value, high-uncertainty challenges in AI, machine learning, computer vision, and robotics. BRT acts as a research and development flywheel, building not only new products but also new platforms that reliably create value for both Deere and its customers. From fully autonomous machines to highly precise farming equipment, BRT and Deere are partnering to create technical breakthroughs in industries like agriculture and construction.
Our people are at the heart of what we do. Through cross-disciplinary collaboration, this mission-driven team is eager to define the new frontier of robotics. We are always asking hard questions, rapidly iterating, and getting our boots in the field to figure it out. We won't give up until we've made a tangible and positive impact on the planet!
Blue River Technology is based in Santa Clara, CA.
Summary
We are seeking a highly technical, collaborative Senior Technical Program Manager (TPM) to guide the evolution of our core technology platforms. This team is responsible for building the robotics engineering foundations that enable our autonomy and automation programs to build, train, and operate intelligent machines at scale. In this role, you will connect advanced machine learning with scalable infrastructure. We value thoughtful program ownership and trajectory facilitation over passive administration or information brokerage. The ideal candidate is energetic and ready to learn quickly, thrives in highly collaborative spaces, and is ready to operate as a deep owner of high-impact program outcomes.
- Employment Type: Full-Time
- Work Location: Remote in the United States
- Visa sponsorship is possible for this position.
Job Responsibilities
A combination, not necessarily all-inclusive, of the following:
- Serve as the outcome and domain owner for a portfolio of technical programs; be prepared to bootstrap ambitious, ambiguous, large-scale strategic initiatives into clear, structured execution paths.
- Weave complex, cross-organizational interdependencies into a singular, harmonious program strategy that unifies diverse engineering groups.
- Evangelize the program's strategy across the core platform engineering teams and the robotics programs that use our foundational tooling.
- Replace administrative status updates with an authoritative, bottom-up framework that clearly articulates milestones, sequences, and critical paths to executive leadership.
- Act as a high-velocity roadblock smasher, using your program tooling to identify engineering bottlenecks and re-chart course as necessary to guarantee high-quality, on-time program delivery.
- Build the connective tissue between cross-functional groups, ensuring deep understanding, operational symmetry, and goal alignment across teams.
- Shape and contribute deeply to strategic roadmaps for developing our robotics platform.
- Work cross-functionally to develop best practices and development processes in a dynamic environment, driving impact through the deployment of key initiatives and garnering adoption of those processes.
Required Experience and Skills
- At least 7+ years of experience driving complex, cross-functional technical programs.
- Strong track record of building alignment across diverse technical teams without formal authority.
- Excellent communication skills with the ability to translate complex architectural concepts into clear, actionable program milestones.
- Bachelor's degree in Computer Science, Data Science, Engineering or related technical discipline; or equivalent practical experience.
- Proficiency with agile project management tools such as Jira and Confluence.
- Strong analytical and problem-solving skills with large-scale systems.
- Excellent communication, time management, and prioritization skills.
- Systems design or technical architecture experience, with the ability to understand and contribute to high-level system design discussions.
Preferred Experience and Skills
- Background in machine learning, computer vision, and/or robotics.
- Experience managing data science, machine learning, computer vision, robotics, or autonomy programs.
- Experience with cloud-based full-stack engineering development, including frontend, backend, and infrastructure.
At Blue River, your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $133,000 - $238,000/year for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. This position is also eligible for an annual performance bonus and a competitive benefit package. During the recruitment process, we may identify an alternative role or level to which you are more suited. If your ideal role at Blue River differs from the advertised position, we will provide an updated pay range as soon as possible during the hiring process.
We're passionate about creating an inclusive workplace that promotes and values diversity. While we have more work to do to advance diversity and inclusion, we're investing in our programs, including recruiting, mentorship, career development, and learning & development, to ensure they support our Diversity, Equity, and Inclusion goals. We support each employee in living a full life, enabling a thriving career, and accomplishing a meaningful, challenging mission while collaborating with incredible people. We are dedicated to building a diverse and inclusive workplace, so if you're excited about this role but your experience doesn't align completely with the job description, we encourage you to apply anyway.
We are an equal-opportunity employer and do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request an accommodation.
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Find JobsRemote ML Research Engineer Job Market
Who's Hiring
- CVS Health34

- Alvarez & Marsal26

- Netflix18

- Airbnb12

- Jobot10

Top Industries Hiring
- Technology & Software137
- Consulting & Professional Services58
- Healthcare & Medical Services53
- Investment & Asset Management30
- Accounting & Auditing27
What Employers Look For
The qualifications that appear most often in remote ML research engineer jobs.
- Advanced degree in machine learning, computer science, or a closely related field
- Proficiency in Python and deep learning frameworks such as PyTorch or JAX
- Experience designing, training, and evaluating large-scale neural network models
- Publication record or demonstrated original research contributions in ML or AI
- Strong mathematical foundation in statistics, linear algebra, and optimization
- Experience with distributed training, cloud compute platforms, or MLOps tooling
Tips for Your Remote ML Research Engineer Job Search
Apply early to remote roles that fit
Migrate Mate lists remote ml research engineer openings from across the U.S. in one place, so you can find roles that match your background and apply directly without sorting through location-filtered noise. Early applications matter because competitive remote postings move fast.
Show your async research communication style
Remote ml research engineer teams rely on written documentation, shared experiment logs, and async code reviews. Include links to research writeups, Weights and Biases experiment summaries, or detailed pull request descriptions in your application materials to prove you can communicate research progress without synchronous standups.
Build a public portfolio of reproducible work
Remote hiring teams evaluate output, not proximity. Publish reproducible notebooks, model cards, and GitHub repositories that reflect the kinds of research problems you solve. Distributed teams can assess your technical depth and working style directly from your public artifacts before a single interview.
Prepare for distributed team interview formats
Remote ml research engineer interviews frequently include take-home research problems, async paper discussions, and multi-round video calls with teammates across time zones. Practice explaining architectural decisions and experimental tradeoffs clearly in writing, since many remote teams use written design reviews as a core evaluation step.
Signal self-direction in your cover materials
Remote employers screen explicitly for candidates who set their own research priorities and course-correct without daily oversight. Reference specific projects where you scoped and executed independently, named the tools you used for experiment tracking, and describe how you communicated findings to a distributed audience.
Remote ML Research Engineer Jobs: Frequently Asked Questions
How do I get a remote ml research engineer job?
Target remote-first AI labs, distributed product teams, and research-oriented tech companies, since these organizations are built for async collaboration and hire ml research engineers without geographic constraints. Remote employers screen heavily for self-direction, clear written communication, and the ability to document experiments and decisions asynchronously. A public portfolio of research work, published models, or open-source contributions gives candidates a concrete edge because remote hiring teams evaluate output over in-person presence.
Which companies hire remote ml research engineers?
Employers currently hiring remote ml research engineers include CVS Health, Alvarez & Marsal, and Netflix, per current remote listings on Migrate Mate as of June 2026. The mix typically includes remote-first AI labs, distributed enterprise software teams, and research divisions in biotech and defense that operate across multiple time zones.
Can you get a remote ml research engineer job with no experience?
Yes, but remote entry-level ml research engineer roles are harder to land because you must demonstrate independent work habits from day one without an office or in-person mentorship. Companies most likely to hire early-career candidates remotely include startups building ML tooling and academic research spinouts. A strong GitHub portfolio, reproducible research notebooks, and contributions to open-source ML projects can substitute meaningfully for formal work history.
Do you need a degree for remote ml research engineer jobs?
Not always, though most remote ml research engineer postings list a graduate degree in machine learning, computer science, or a related field as preferred. Remote employers weigh published research, demonstrable model-building skills, and hands-on results heavily alongside credentials. Candidates without a traditional degree who can show rigorous independent research, open-source contributions, or applied ML projects regularly compete successfully for these roles.
Which industries hire the most remote ml research engineers?
Most remote ml research engineer openings sit in Technology & Software, Consulting & Professional Services, and Healthcare & Medical Services, per current remote listings on Migrate Mate as of June 2026. Those sectors rely on distributed research and engineering teams that make remote ml research engineer roles a structural part of how they build and iterate on models.
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