{"id":2290217,"url":"https://alion.io/job/luvu-inc-founding-ml-engineer-2","title":"Founding ML Engineer","company":{"id":4398972,"name":"Basis","domain":"withbasis.co","url":"https://alion.io/company/withbasis-2","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":95,"open_postings":28,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":73,"computed_at":"2026-10-24T06:02:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":166000,"max_usd":367000,"period":"year","method":"role_country_seniority_unknown","sample_n":3798},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"CUDA","optional":false},{"name":"Imitation Learning","optional":false},{"name":"Isaac Sim","optional":false},{"name":"JAX","optional":false},{"name":"Machine Learning","optional":false},{"name":"MuJoCo","optional":false},{"name":"Multimodal AI","optional":false},{"name":"ONNX","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Sim-to-Real","optional":false},{"name":"TensorRT","optional":false},{"name":"Triton","optional":false},{"name":"Vision-Language-Action","optional":false},{"name":"World Models","optional":false}],"status":"live","first_seen_at":"2026-08-07T20:50:33Z","employer_posted_date":"2026-08-07","last_verified_at":"2026-10-24T12:25:16Z","board_verified":true,"closed_at":null,"days_open":77,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":77},"description":"The role:\nOwn the loop from raw robot experience to a model running on real hardware.\nMunari observes what robots see, sense, decide, and do. We want to use that data to detect abnormal behavior, understand failures, evaluate policies, identify recurring failure modes, and help robotics teams improve the next version of their system.\nThis role sits deliberately between research engineering and production machine learning. You might train a multimodal model, redesign the dataset, optimize its inference path, deploy it to an edge device, and then test it against a real robot in the same week.\nWe are not looking for research that ends at a chart. We are looking for research that becomes a working system.\nWhat you will work on:\nTrain multimodal models over video, language, proprioception, motor currents, force, tactile, IMU, telemetry, trajectories, and policy traces.\n\nBuild models for anomaly detection, episode scoring, failure classification, incident understanding, representation learning, and behavioral evaluation.\n\nIntegrate, evaluate, adapt, or fine-tune vision-language-action models and other robot policies across different embodiments.\n\nDevelop training and evaluation methods for limited, noisy, heterogeneous, and highly imbalanced real-world robot data.\n\nTurn failures, operator takeovers, recoveries, and successful episodes into evals, labeled datasets, and training signals.\n\nDistill, quantize, prune, compile, and optimize models for deployment on constrained edge hardware.\n\nDesign benchmarks, ablations, fault-injection experiments, and metrics that tell us whether a model will actually improve real-world operation.\n\nWork closely with the infrastructure team on distributed training and data systems, and with the edge team on low-latency inference.\n\nValidate ideas in simulation and then close the loop on physical robots.\n\nYou may be a strong fit if:\nYou have trained modern vision, transformer, diffusion, generative, or multimodal models.\n\nYou are highly productive in PyTorch, JAX, or a comparable ML stack.\n\nYou understand both model behavior and the systems required to train and deploy models reliably.\n\nYou have experience with distributed training, large datasets, inference optimization, or GPU performance.\n\nYou can move comfortably between research code, data pipelines, production services, and edge deployment.\n\nYou are excited by messy real-world data and do not require a perfectly clean benchmark before beginning.\n\nYou have strong experimental judgment and can distinguish genuine improvement from an attractive demo.\n\nExperience with imitation learning, reinforcement learning, diffusion policies, VLAs, world models, sim-to-real, active learning, TensorRT, ONNX, Triton, CUDA, Isaac Sim, MuJoCo, or ManiSkill is valuable. Robotics experience is excellent, but exceptional candidates from vision, video, autonomous systems, or large-scale generative modeling should also apply.","description_format":"text","description_chars":2930,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["AI Training Data & Annotation"],"lifecycle":[{"event":"open","at":"2026-10-11T17:27:03Z"},{"event":"close","at":"2026-10-11T22:45:02Z"},{"event":"reopen","at":"2026-10-21T23:17:59Z"}],"visa":[],"liveness":{"score":30,"band":"fade","label":"Fading","p_open":1,"p_active":0.692,"p_room":0.44,"age_days":77,"expected_fill_days":73,"reasons":["conf:2","velocity","win:tail","crowd:"],"computed_at":"2026-10-24T06:02:35Z"},"pay":null,"html_url":"https://alion.io/job/luvu-inc-founding-ml-engineer-2","json_url":"https://alion.io/job/luvu-inc-founding-ml-engineer-2.json","meta":{"generated_at":"2026-10-24T15:50:42Z","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":22802,"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":4398972},"rest":"https://alion.io/mcp/rest/get_company?id=4398972"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fluvu-inc-founding-ml-engineer-2"},{"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%2Fluvu-inc-founding-ml-engineer-2"},{"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%2Fluvu-inc-founding-ml-engineer-2"},{"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/luvu-inc-founding-ml-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fluvu-inc-founding-ml-engineer-2"}]}