{"id":1296961,"url":"https://alion.io/job/watney-staff-machine-learning-engineer","title":"Staff Machine Learning Engineer","company":{"id":3812884,"name":"Watney","domain":"watney.com","url":"https://alion.io/company/watney-2","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-27T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","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":200000,"max_usd":409000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":503},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"JAX","optional":false},{"name":"Kubernetes","optional":false},{"name":"Localization","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Ray","optional":false},{"name":"SLURM","optional":false},{"name":"Triton","optional":false}],"status":"live","first_seen_at":"2026-09-16T22:54:51Z","employer_posted_date":"2026-09-16","last_verified_at":"2026-09-27T22:03:49Z","board_verified":true,"closed_at":null,"days_open":11,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":11},"description":"Our Mission\nExpand human ambition in the physical world.\nCritical infrastructure is constrained by labor shortages, hazardous working conditions, and operational complexity. Watney builds and deploys autonomous robotic systems that increase the speed and capacity of buildout, starting with data centers.\nAbout the Role\nAt Watney, ML engineers turn a live fleet of robots into world class modals. The fleet produces large volumes of video from real work in the field, and turning that data into a model that performs better on the next deployment is one of the hardest problems at the company.\nOur Machine Learning team members run training experiments, help curate and label the data behind them, and help evaluate what works on a real fleet. You'll build models that cover the gamut of real world challenges including perception, planning, navigation and manipulation.\nWhat You’ll Do\nOwn model quality end-to-end: dataset curation, training, and evaluation.\n\nWork with multimodal sensor data from Cameras, IMUs, LiDar and Odometry to shape the training set as the fleet grows.\n\nTrain and evaluate policies, experiment with data, feature and architecture ablations.\n\nDeploy your best results to production and build the systems that guarantee low latency, 24/7 inference on a fleet of robots.\n\nWork with Teleoperations and Fleet Operations to get the data the models need.\n\nYou May Be a Good Fit If You:\nTrained large scale multimodal models on a fleet of GPUs using techniques such as video semantic segmentation, 6d pose estimation, VLAs and BEVs.\n\nHave owned a dataset end-to-end: what to collect, what to label, and what to cut.\n\nWrite production training and inference code with Python, PyTorch or JAX, Triton.\n\nHave found and fixed a problem with a training run or a model's real-world performance, and can name the evidence that pointed to it.\n\nExperience working on Cluster management systems including Ray, Slurm or Kubernetes.\n\nWe’re committed to building a diverse, inclusive team. At Watney Robotics, we welcome people of all backgrounds and identities, and we make hiring decisions based on skills, experience, and potential. If you’re passionate about robotics but don’t meet every requirement, we still encourage you to apply!\nCurious to learn more?\nFollow us here onX andLinkedIn","description_format":"text","description_chars":2296,"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":[],"lifecycle":[{"event":"open","at":"2026-09-26T09:43:06Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":10,"expected_fill_days":49,"reasons":["conf:1","velocity","win:early"],"computed_at":"2026-09-27T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/watney-staff-machine-learning-engineer","json_url":"https://alion.io/job/watney-staff-machine-learning-engineer.json","meta":{"generated_at":"2026-09-28T04:31:44Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2766,"day_limit":5000,"remaining_today":2234,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}