{"id":175906,"url":"https://alion.io/job/diligent-robotics-ml-engineer-manipulation","title":"ML Engineer, Manipulation","company":{"id":63113,"name":"Diligent Robotics","domain":"diligentrobots.com","url":"https://alion.io/company/diligent-robotics","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Robotics","role_family":"Robotics","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Sim-to-Real","optional":false},{"name":"Isaac Sim","optional":true},{"name":"MuJoCo","optional":true},{"name":"ONNX","optional":true},{"name":"Quantization","optional":true},{"name":"Synthetic Data","optional":true},{"name":"TensorRT","optional":true},{"name":"Vision-Language-Action","optional":true}],"status":"live","first_seen_at":"2026-03-03T19:55:30Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-16T20:20:24Z","board_verified":true,"closed_at":null,"days_open":227,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":226},"description":"What we’re doing isn’t easy, but nothing worth doing ever is. \nWe envision a future powered by robots that work seamlessly with human teams. We build artificial intelligence that enables service robots to collaborate with people and adapt to dynamic human environments. Join our mission-driven team as we build out current and future generations of robots.\nAs an ML Engineer, Manipulation, you will develop and deploy learning-based manipulation systems that enable mobile robots to interact reliably with the physical world in dynamic human environments. You’ll build perception-to-action models, training datasets, evaluation tooling, and deployment pipelines that improve robustness, generalization, and safety for real-world manipulation tasks at scale. Your work will directly impact the robot’s ability to perform complex interactions consistently across real sites with minimal special-case engineering.\nResponsibilities\nDevelop learning-based manipulation models for end to end sensor-driven interaction (e.g., reaching, motion generation, and execution in dynamic environments).\nBuild and maintain manipulation training pipelines: dataset creation from robot logs/teleop, action representations, augmentation, and distributed training.\nDesign evaluation metrics and regression tests that quantify manipulation reliability, recovery behavior, and safety in real environments.\nDevelop sim-to-real workflows for manipulation learning, including simulation environments, domain randomization, and failure-mode testing.\nOptimize and distill models for edge deployment; benchmark latency, memory use, and stability on target hardware.\nPartner with the AI platform team to integrate policies with control and safety systems, and validate end-to-end performance on robots.\nAnalyze field performance, identify dominant failure modes, and drive iterative improvements through data collection and targeted retraining.\nBasic Qualifications\nBachelor’s or Master’s degree in Robotics, Computer Science, Electrical Engineering, or related field (PhD a plus).\n3+ years of experience applying ML to robotics manipulation, visuomotor control, or sequential to sequence models.\nStrong proficiency in PyTorch and experience building reliable training/evaluation pipelines.\nStrong software engineering skills in Python; ability to collaborate across ML and robotics teams.\nPreferred Qualifications\nExperience with Vision-Language-Action (VLA) models, behavior cloning, and/or transformer/diffusion policies for robotic control.\nExperience with sim-to-real training for manipulation (Isaac Sim/Mujoco or similar), including domain randomization and synthetic data.\nExperience deploying ML models to edge hardware (ONNX/TensorRT, quantization, performance profiling).\nFamiliarity with safety-critical robotics integration and designing fallback/recovery behaviors.","description_format":"text","description_chars":2850,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Medical & Healthcare Robotics"],"lifecycle":[{"event":"open","at":"2026-08-30T14:00:09Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 3","filings_12m":3,"filings_prev_12m":1,"green_card_filings_12m":0,"median_offered_wage_usd":217500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":2}],"liveness":{"score":9,"band":"cold","label":"Long shot","p_open":1,"p_active":0.314,"p_room":0.28,"age_days":226,"expected_fill_days":41,"reasons":["conf:3","win:tail","crowd:"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/diligent-robotics-ml-engineer-manipulation","json_url":"https://alion.io/job/diligent-robotics-ml-engineer-manipulation.json","meta":{"generated_at":"2026-10-16T22:20:41Z","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":3944,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"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":63113},"rest":"https://alion.io/mcp/rest/get_company?id=63113"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdiligent-robotics-ml-engineer-manipulation"},{"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%2Fdiligent-robotics-ml-engineer-manipulation"},{"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%2Fdiligent-robotics-ml-engineer-manipulation"},{"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/diligent-robotics-ml-engineer-manipulation\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdiligent-robotics-ml-engineer-manipulation"}]}