{"id":1296991,"url":"https://alion.io/job/watney-staff-software-engineer-ml-infrastructure","title":"Staff Software Engineer - ML Infrastructure","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":null},"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":193000,"max_usd":394000,"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":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-07-13T21:26:56Z","employer_posted_date":"2026-07-13","last_verified_at":"2026-09-26T09:43:06Z","board_verified":true,"closed_at":null,"days_open":75,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":75},"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 Infrastructure engineers turn data collected from a live fleet of robots into better models. The fleet produces large volumes of video and telemetry data from real work in the field, and making that data trainable is one of the hardest systems problems at the company.\nAs we continue to scale, these systems will require larger training runs with more data, expanded clusters, and optimal GPU utilization.\nWhat You’ll Do\nOwn training and inference infrastructure.\n\nBuild the data pipelines that these training runs depend on.\n\nMake experiments fast to launch and reproduce.\n\nContribute to our core training code\n.\n\nYou May Be a Good Fit If You:\nHave built ML infrastructure that carried real production training runs.\n\nHave scaled distributed training systems.\n\nStrong experience with Python, PyTorch or TensorFlow.\n\nHave experience identifying and troubleshooting GPU performance bottlenecks in large-scale training environments\n.\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":1624,"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":["Artificial Intelligence"],"lifecycle":[{"event":"open","at":"2026-09-26T09:43:06Z"}],"liveness":{"score":21,"band":"cold","label":"Long shot","p_open":1,"p_active":0.592,"p_room":0.36,"age_days":75,"expected_fill_days":49,"reasons":["conf:15","win:tail","crowd:"],"computed_at":"2026-09-27T01:33:18Z"},"pay":null,"html_url":"https://alion.io/job/watney-staff-software-engineer-ml-infrastructure","json_url":"https://alion.io/job/watney-staff-software-engineer-ml-infrastructure.json","meta":{"generated_at":"2026-09-27T01:33:18Z","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":1426,"day_limit":5000,"remaining_today":3574,"minute_limit":60,"resets_at":"2026-09-28T00:00:00Z"}}}