Remote AI ML Engineer Jobs
Remote AI ML Engineer jobs are open across the US at companies hiring remotely, from entry-level roles at remote-first startups to senior roles on large distributed teams, with employers like CVS Health, Alvarez & Marsal, and Netflix hiring right now. See the openings below and apply to the ones that match your experience.
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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 Remote AI ML Engineer JobsRemote AI ML Engineer Job Market
Who's Hiring
- CVS Health34

- Alvarez & Marsal26

- Netflix20

- Liberty Mutual Insurance14

- Airbnb12

Top Industries Hiring
- Technology & Software144
- Consulting & Professional Services62
- Healthcare & Medical Services54
- Investment & Asset Management30
- Accounting & Auditing27
What Employers Look For
The qualifications that appear most often in remote AI ML engineer jobs.
- Proficiency in Python and at least one ML framework such as PyTorch or TensorFlow
- Experience designing, training, and deploying machine learning models in production environments
- Strong foundation in statistics, linear algebra, and probability theory
- Familiarity with MLOps tools and platforms including Kubeflow, MLflow, or SageMaker
- Experience working with large datasets using SQL, Spark, or distributed computing frameworks
- Bachelor's or master's degree in computer science, mathematics, or a related quantitative field
Tips for Your Remote AI ML Engineer Job Search
Tailor your resume to each stack
Recruiters scan for specific frameworks like PyTorch, TensorFlow, or JAX before reading anything else. Match the exact tool names listed in the job description, and call out model types you've trained or fine-tuned rather than listing ML as a general skill.
Show inference costs, not just accuracy
Most job descriptions ask for production ML experience. Quantify latency improvements, model compression ratios, or infrastructure cost reductions you've driven. Accuracy metrics alone don't signal you've shipped a model that runs reliably at scale.
Target openings by model domain, not job title
Titles vary wildly across companies. Search for the domain you work in, like recommendation systems, time-series forecasting, or LLM fine-tuning, in addition to the job title. You'll surface relevant roles that use different naming conventions.
Apply early to roles that fit
Migrate Mate lists ai ml engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a system design answer for ML pipelines
Most ai ml engineer interviews include a round where you design a full ML system end to end. Practice walking through data ingestion, feature engineering, training infrastructure, model serving, and monitoring before you get on the call.
Negotiate on compute budget, not just compensation
When you reach the offer stage, ask about GPU or TPU access, cloud credits, and whether the team uses managed services or builds infrastructure internally. These details affect your day-to-day work and your ability to ship, and they're fully negotiable.
Remote AI ML Engineer Jobs: Frequently Asked Questions
How do I get a remote AI ML engineer job?
Target companies that already run distributed teams, since they hire remotely by default and know how to onboard someone they never meet in person. Remote AI ML engineer employers screen hard for self-direction and clear written communication on top of the core skills, so show evidence you can own work without someone over your shoulder. Apply to the openings above that match your experience.
Which companies hire remote AI ML engineers?
Remote AI ML engineer roles are posted by CVS Health, Alvarez & Marsal, and Netflix and others right now, based on current remote listings on Migrate Mate as of June 2026. Remote-first firms and large companies running distributed teams post the most remote AI ML engineer roles.
Can you get a remote AI ML engineer job with no experience?
Yes, but it is harder than an on-site role, because remote work expects you to operate independently from the start. Entry-level remote AI ML engineer openings do exist, especially at remote-first companies, and a portfolio of real work helps more than a long resume. Applying broadly to the roles that fit improves your odds.
Do you need a degree for remote AI ML engineer jobs?
Not always. Many employers hire remote AI ML engineers on demonstrated skills and prior work rather than a specific degree, though some larger companies still prefer one. Showing relevant results matters more than a credential for most remote AI ML engineer roles.
Which industries hire the most remote AI ML engineers?
The sectors hiring the most remote AI ML engineers are Technology & Software, Consulting & Professional Services, and Healthcare & Medical Services, based on current remote listings on Migrate Mate as of June 2026. These sectors run distributed teams and hire AI ML engineers remotely most consistently.
See All 494+ Remote AI ML Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote AI ML Engineer Jobs