Job Detail

Reinforcement Learning (RL) Engineer, Manipulation

Data Science and AI Full–time
ID: #10564
Posted: 2026-03-12
Salary

Description

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. Our Mission At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. What You’ll Do • Train language-vision conditioned manipulation policies via reinforcement learning (RL) in simulation and in the real world. • Construct challenging and diverse suites of manipulation tasks in simulation. • Partner with teleoperations to collect trajectories in simulation for behavior cloning. • Partner with testing and operations to establish real-world RL training pipelines. • Experiment with various ways of bringing policies trained in simulation to the real world.. We’re Looking For • 3+ years building deep‑learning systems (industry or research) with shipped models or published artifacts to show for it. • Hands‑on with at least one of: LLMs, VLMs, or image/video generative models — architecture, training, and inference. • Experience solving real problems using reinforcement learning with deep neural networks in any domain. • Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code. • You are self-driven, pro-active, communicate efficiently, document experiments clearly and communicate trade‑offs crisply. Nice to have • Experience with simulators for robotics (Isaac Sim, MuJoCo etc.) • Experience in RL for robotics. • Experience building infrastructure for large-scale RL (e.g. using ray). • Publications at ICLR/ICML/NeurIPS or equivalent open‑source contributions. • Familiarity with OpenVLA, Physical Intelligence (π) models, or similar open VLA frameworks. What We Offer • Competitive salary plus participation in our Stock Option Plan • Paid vacation with adjustments based on your location to comply with local labor laws, and additional paid sick leave days • Travel opportunities to our Vancouver and Boston offices • Office perks: free breakfasts, lunches, snacks, and regular team events • Freedom to influence the product and own key initiatives • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics • Startup culture prioritising speed, transparency, and minimal bureaucracy How to Apply Does this role sound like the perfect fit for you? Fill in the form and include links or files that showcase the best of what you’ve built and achieved.

Hard Skills 4
Skill Source Confidence
Python llm_hard
100%
Reinforcement Learning llm_hard
100%
Large Language Models (LLMs) llm_hard
100%
PyTorch llm_hard
100%
Soft Skills 5
Skill Source Confidence
Written Communication llm_soft
100%
Documentation llm_soft
100%
Self-Motivation llm_soft
100%
Initiative llm_soft
100%
Collaboration llm_soft
80%
Apply Options
Publisher Direct Link
LinkedIn No Apply
Talents By StudySmarter No Apply
LinkedIn No Apply
API Logs for this Job
Query Country Status Response ms Created
Reinforcement Learning (RL) Engineer, Manipulation extracted 3763 2026-03-22 02:28
Reinforcement Learning (RL) Engineer, Manipulation classified 443 2026-03-21 21:01
junior deep learning engineer in United Kingdom gb duplicate 13733 2026-03-21 17:11
junior AI engineer in United Kingdom gb duplicate 21364 2026-03-21 17:04
junior ML engineer in United Kingdom gb duplicate 22049 2026-03-21 17:00
junior machine learning engineer in United Kingdom gb processed 9050 2026-03-21 16:57
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