{"id":120211,"url":"https://alion.io/job/anybotics-senior-reinforcement-learning-engineer","title":"Senior Reinforcement Learning Engineer","company":{"id":5988,"name":"ANYbotics","domain":"anybotics.com","url":"https://alion.io/company/anybotics","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":89,"open_postings":12,"ghost_share":0,"stale_share":0.25,"repost_share":0,"time_to_fill_p50_days":61,"computed_at":"2026-10-24T06:02:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Zurich, Switzerland"],"countries":["CH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":110000,"max_usd":273000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1757},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Gazebo","optional":false},{"name":"Isaac Sim","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"Obstacle Avoidance","optional":false},{"name":"Path Planning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Sim-to-Real","optional":false},{"name":"AI Agents","optional":true}],"status":"live","first_seen_at":"2026-05-26T11:22:04Z","employer_posted_date":"2026-05-26","last_verified_at":"2026-10-24T15:20:24Z","board_verified":true,"closed_at":null,"days_open":151,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":150},"description":"The Opportunity\nWe are looking for a Senior Reinforcement Learning Engineer to join our Motion Intelligence team. You should bring deep expertise in reinforcement learning and policy optimisation, grounded in real-world robotics experience, and be excited to push the boundaries of autonomous robots. We are looking for someone who can provide senior-level RL and learning-based control guidance across the team - shaping how we train, deploy, and maintain learned policies on physical robots operating in demanding industrial environments.\nBeyond RL expertise, we value engineers who take pride in writing clean, maintainable code, simplifying complex systems through thoughtful design, and championing sound interfaces and architecture.\nAt ANYbotics, we develop tailored software solutions that enable our legged robots to execute inspection and maintenance tasks with precision and consistency. This role sits at the intersection of cutting-edge RL research and production robotics - from sim-to-real policy transfer and reward engineering through to reliable deployment on mission-critical systems in the field. You’ll work across the full lifecycle - from early development prototyping through to mission-critical, production deployments.\nThe Market & Our Technology\nANYbotics transforms industrial plants in the energy, process, and utility sector by introducing robotics to a wide range of novel applications that so far were beyond reach. Our customers are large asset operators and industrial service providers pioneering the use of robotics technology for inspection and maintenance. Our mobile robot ANYmal uses legs for extreme mobility in complex environments, camera- and LIDAR-based sensing for full autonomy and obstacle avoidance, and AI for high-quality and consistent inspection results. We develop numerous customised hardware systems, including the entire robotic platform, actuators, sensors, inspection payloads, charging systems, and all related ANYbotics electrical hardware.\nYour Impact\nLead the design, training, and deployment of reinforcement learning policies for robot motion - bridging the gap from simulation to reliable real-world performance\nProvide senior technical guidance on RL and learning-based control across the team, mentoring engineers and establishing best practices for policy development workflows\nOwn and evolve the RL training infrastructure and sim-to-real pipeline, ensuring reproducibility, scalability, and fast iteration cycles\nShape the technical vision for internal ML tooling and experiment management (e.g. training dashboards, automated evaluation pipelines), driving efficiency and rigour across the team's learning workflows\nCollaborate closely with cross-functional stakeholders to identify how to expand the robot's autonomous operational envelope\nTriage field issues related to locomotion, recognise failure patterns, and rapidly improve policy robustness based on real deployment data\nWrite, deploy, and maintain efficient Python and C++ software for the learning and locomotion stack\nYour Profile\nPhD in robotics, machine learning, computer science or a related field with a strong focus on reinforcement learning; alternatively, an equivalent track record of RL research and deployment in robotics Or\nMaster's degree from a top-tier technical university (e.g. ETH Zurich, EPFL) in robotics, machine learning, computer science or related field and 5+ years of professional experience\nProven track record of shipping ML models to the field and maintaining those solutions over time\nSolid grounding in robot control fundamentals and autonomous systems, including: motion control, state estimation, path planning and actuation\nExperience using robotic simulation tools such as Gazebo or Isaac Sim\nStrong understanding of sim-to-real transfer, domain randomisation, reward shaping, and policy robustness techniques\nProficiency in Python and modern ML frameworks (PyTorch); working knowledge of C++\nStrong knowledge of Linux systems and middleware frameworks for integrating learned components into a larger software stack\nPragmatic and solution-oriented mindset - comfortable balancing research exploration with production delivery\nExcellent communication skills in English\nBonus Points\nExperience training and deploying RL policies on physical robots - not just in simulation\nDevelopment of scalable and modular robot architectures of motion control systems\nExperience with navigation systems and autonomous mobile robot operation in unstructured environments\nInterest in agentic engineering toolchains\nExperience leading software architecture design and software engineering best practices\nA solid grasp of physical systems, specifically multibody dynamics, electromechanical drive physics, energy optimization, and contact physics, to ensure learned policies respect hardware limits and transfer successfully from simulation to the real world","description_format":"text","description_chars":4908,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[{"name":"Switzerland","iso":"CH","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Robotics AI","Industrial Robotics","Packaging & Inspection Robotics","Mining & Heavy Industry Robotics"],"lifecycle":[{"event":"open","at":"2026-05-26T11:22:04Z"},{"event":"close","at":"2026-10-09T13:07:59Z"},{"event":"reopen","at":"2026-10-21T18:26:33Z"}],"visa":[],"liveness":{"score":17,"band":"cold","label":"Long shot","p_open":1,"p_active":0.609,"p_room":0.28,"age_days":150,"expected_fill_days":61,"reasons":["conf:3","velocity","win:tail","crowd:"],"computed_at":"2026-10-24T06:02:35Z"},"pay":null,"html_url":"https://alion.io/job/anybotics-senior-reinforcement-learning-engineer","json_url":"https://alion.io/job/anybotics-senior-reinforcement-learning-engineer.json","meta":{"generated_at":"2026-10-24T17:10:29Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":24901,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-25T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":5988},"rest":"https://alion.io/mcp/rest/get_company?id=5988"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fanybotics-senior-reinforcement-learning-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fanybotics-senior-reinforcement-learning-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fanybotics-senior-reinforcement-learning-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/anybotics-senior-reinforcement-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fanybotics-senior-reinforcement-learning-engineer"}]}