{"id":59842,"url":"https://alion.io/job/zoox-contract-student-worker-machine-learning-engineer-data-mining-vlm-full-time","title":"Contract Student Worker - Machine Learning Engineer - Data Mining & VLM (Full-time)","company":{"id":3626,"name":"Zoox","domain":"zoox.com","url":"https://alion.io/company/zoox","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":72,"open_postings":42,"ghost_share":0,"stale_share":0.905,"repost_share":0,"time_to_fill_p50_days":85,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Foster City, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":207000,"max_usd":454000,"period":"year","method":"role_country_seniority_unknown","sample_n":4027},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Computer Vision","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"Git","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NLP","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tool Use","optional":false},{"name":"VLM","optional":false}],"status":"live","first_seen_at":"2026-08-07T19:04:41Z","employer_posted_date":"2026-08-07","last_verified_at":"2026-10-17T16:38:58Z","board_verified":true,"closed_at":null,"days_open":70,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":70},"description":"About Zoox\nZoox is an autonomous ridehailing company building the world's first purpose-built robotaxi - fully electric, bidirectional, with no steering wheel or driver's seat. Backed by Amazon and founded to make transportation safer, cleaner, and more accessible, Zoox designs its vehicles entirely around the rider. We're currently operating in Las Vegas and San Francisco, with Austin and Miami on the horizon, and testing underway across seven U.S. markets.\nAbout Our Part-Time Student Worker Program\nZoox's part-time student worker program puts you at the center of one of the most ambitious challenges in transportation. You'll contribute to real projects, work alongside engineers and researchers pushing the boundaries of autonomous technology, and gain experience that goes well beyond the classroom. We're looking for students who bring strong academic foundations, curiosity that doesn't stop at coursework, and a drive to be part of something that matters.\nRole Overview\nSupport Zoox's Rules of the Road (RotR) program, where a miner + LLM/VLM tooling method automatically mines and triages potential road-rule violation events from simulation and fleet data. The student will be helping create or improve the data miners that generate the candidate events, help develop and evaluate the VLM triagers - curating golden datasets, measuring precision/recall against expert triage, and extending automation to new regulations and data sources.\nResponsibilities\nDevelop and iterate data miners locating potential RotR Violations following SSO requirements\nDevelop and iterate on VLM/LLM workflows and pipelines for classifying RotR events\nCurate golden datasets and evaluate triager precision/recall against human triage\nRequired Qualifications\nExtend triagers from simulation to fleet/service data\nStrong Python / Pyspark / SQL skills\nCoursework in machine learning, computer vision, or NLP. Understanding of supervised learning, model evaluation, and common sources of dataset bias and label noise.\nAnalyze error cases and translate findings into pipeline improvements\nHands-on experience building production LLM/VLM applications, including agentic workflows, RAG, tool calling, evaluation, and/or fine-tuning.\nFamiliarity with software-engineering practices such as Git, unit testing, debugging, and code reviews.\nBonus Qualifications\nStrong Scala skills.\nExperience with Spark optimization and distributed data-processing systems.\nExperience with autonomous vehicles, robotics, mapping, or transportation-related datasets.\nProgram Requirements\nExperience evaluating multimodal or vision-language models.\nCurrently enrolled in a B.S. or M.S. program in a relevant discipline.\nExperience with prompt optimization, model fine-tuning, or human-in-the-loop ML systems.\nAvailable to commit to a minimum three-month assignment.\nAble to commit a minimum of 40 hours per week.\nAble to 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