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Remote Reinforcement Learning Jobs
Reinforcement learning is a narrow specialty. These positions involve building real RL systems — recommendation engines, robotics controllers, or optimisation agents — where models learn from environment feedback.
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Posted 6 hours ago
Research Engineer / Scientist, Pre-training
Anthropic
Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society...
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Work Arrangement: On-site / Hybrid / Remote Department: Technology & Engineering Reports To: CTO / Technical Lead We are looking for a talented and ex...
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Posted 2 days ago
Research Engineer / Scientist, Reinforcement Learning
Harvey
London · also open in 3 other locations
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep do...
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At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep do...
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Posted 2 days ago
Research Engineer / Scientist, Data & Evals
Harvey
Remote · also open in 3 other locations
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep do...
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Posted 2 days ago
Machine Learning Engineer, Applied AI Intern (Summer 2027)
Brainco
San Francisco Bay Area
Rebuild how the world works, to make institutions work better for the people they serve. About Brain Co. Brain Co. builds AI-native operating systems...
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Posted 3 days ago
Software Engineer, Developer Productivity - Inference Runtime
OpenAI
San Francisco
We’re hiring a Developer Productivity engineer to support OpenAI’s Inference Runtime teams. These teams own the systems responsible for serving models...
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Your work will change lives. Including your own. Human biology stems from four billion years of evolution, which creates a proliferation of complexity...
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CodeRabbit is the leading AI code review platform, trusted by more than 17,000 customers and 150,000 open-source projects, conducting over 2 million c...
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.txt builds structured generation: we make language models produce output that follows a given format, by deciding at every decoding step which tokens...
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Career guide
How to land a remote Reinforcement Learning ML Engineer role
Showcase Reinforcement Learning production work on your profile
Describe models you trained, deployed, and monitored with Reinforcement Learning. Include outcomes — accuracy gains, latency improvements, business impact. Production depth beats tutorial projects.
Filter for roles matching your experience level
RemoteAI lists ML roles from mid-level to principal. Find positions where your Reinforcement Learning depth matches the actual technical challenge, not just the job title.
Write a targeted application
Connect your Reinforcement Learning experience to the specific ML challenge in the role. Companies respond faster to candidates who show they understand the problem.
Prepare for system design questions
ML interviews often include system design. Be ready to architect a Reinforcement Learning-based solution, discuss data pipelines, model serving, and monitoring trade-offs.
Move quickly on strong matches
Good ML roles fill fast. If a role matches your Reinforcement Learning stack and experience level, apply within days — not weeks.
Frequently asked questions
What does a remote Reinforcement Learning ML engineer role involve?
Typical Reinforcement Learning ML roles involve model training, evaluation, production deployment, and monitoring. You'll work on real AI systems — not just experiments — and own the full lifecycle from data to deployment.
What salary range do remote Reinforcement Learning ML engineers earn?
Pay depends on seniority, country and contract type, so we do not quote one range. Production deployment experience and end-to-end system ownership usually raise it. When a job post shows a salary range, it is on the job page: compare a few Reinforcement Learning roles before you set your own rate.
Do I need a PhD for Reinforcement Learning ML engineering jobs?
No. Most ML engineering roles prioritise production experience over academic credentials. If you can ship Reinforcement Learning-based models to production and describe the trade-offs, that matters more than a degree.
How competitive are remote Reinforcement Learning ML jobs?
Companies hiring for Reinforcement Learning look for production experience. If you have real deployment work, show it: describe specific outcomes in your profile, not just tool familiarity.
Is RemoteAI free for ML job seekers?
Yes, for normal use. Creating a profile, browsing jobs and applying are free, up to 20 applications a day. Credits are optional: they pay for applications beyond that limit or to put an application at the top of the list. No placement fee when you get hired, no share of your salary, no exclusive contract.
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