{"id":2008883,"url":"https://alion.io/job/waymo-senior-software-engineer-mapping-data-eval","title":"Senior Software Engineer (Mapping Data & Eval)","company":{"id":98,"name":"Waymo","domain":"waymo.com","url":"https://alion.io/company/waymo","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Welcome to the Jungle","truth_index":{"grade":"B","score":75,"open_postings":76,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":33,"computed_at":"2026-10-13T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mountain View, United States","San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":213000,"max":263000,"currency":"USD","period":"year","gross":null,"usd_annual":263000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Computer Vision","optional":false},{"name":"Machine Learning","optional":false}],"status":"live","first_seen_at":"2026-09-25T00:20:12Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-13T12:03:18Z","board_verified":true,"closed_at":null,"days_open":18,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":18},"description":"Join Waymo, the leading autonomous driving technology company. 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This position offers competitive compensation, comprehensive benefits, and a hybrid work model.\nMissions\nConcevoir et mettre en œuvre des modèles d'apprentissage automatique appliqués, des moteurs d'évaluation et des infrastructures de données à grande échelle pour transformer les flux de capteurs réels en une base de connaissances spatiales précise.\nCollaborer avec les équipes embarquées pour résoudre des problèmes de manière globale, en travaillant sur tous les aspects du cycle de vie de la modélisation, de l'étiquetage à l'inférence.\nÉvaluer et lancer des modèles d'apprentissage automatique qui génèrent automatiquement des cartes à partir de données brutes, et appliquer une analyse statistique pour valider les changements à grande échelle.\nProfil recherché\n - Hands-on experience with statistical analysis, experiment design, and quantitative evaluation of ML models or data pipelines- Experience building scalable data processing pipelines using distributed frameworks like Google 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