{"id":104558,"url":"https://alion.io/job/waabi-senior-staff-software-engineer-ml-datasets-data-pipelines","title":"Senior / Staff Software Engineer, ML Datasets & Data Pipelines","company":{"id":4483,"name":"Waabi","domain":"waabi.ai","url":"https://alion.io/company/waabi","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":85,"open_postings":57,"ghost_share":0,"stale_share":0.386,"repost_share":0,"time_to_fill_p50_days":76,"computed_at":"2026-11-10T06:52:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada","San Francisco, United States"],"countries":["CA","US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":122000,"max_usd":253000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":23},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"JAX","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false},{"name":"Airflow","optional":true},{"name":"AWS","optional":true},{"name":"AWS Step Functions","optional":true},{"name":"GCP","optional":true},{"name":"Hadoop","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-03-26T16:35:32Z","employer_posted_date":"2026-03-26","last_verified_at":"2026-11-10T06:15:41Z","board_verified":true,"closed_at":null,"days_open":228,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":228},"description":"As a Senior/Staff Software Engineer embedded within our Autonomy & Algorithms team, you will build the scalable ML data pipelines necessary to train and evaluate Waabi’s autonomous driving platform. Working closely with world-renowned scientists and engineers, you will solve complex data challenges to accelerate our launch of fully driverless vehicles.\nYou Will..\nDesign and implement data pipelines using real-world drivingdata and Waabi World (our high-fidelity simulator) to train and evaluate deep learning models.\nOptimize data formats, caching, and dataloading to drive highly efficient ML training and evaluation at scale.\nImprove data sampling and composition for deep data introspection to track model performance and uncover critical edge-case scenarios.\nChampion engineering excellence by writing high-quality, well-structured, and rigorously tested code.\nHelp drive project roadmap planning, prioritization, and delivery.\nQualifications:\nBS or MS in Computer Science, Machine Learning, or a related technical field, with 4+ years of industry experience.\nProficiency in Python and strong software engineering fundamentals, including experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX.\nHands-on experience building distributed ETL and data processing pipelines.\nDirect experience managing ML pipelines, including dataset management, dataloading, and optimization.\nStrong understanding of cloud job orchestration, monitoring, and instrumentation best practices.\nA collaborative, open-minded approach with a passion for tackling hard problems in autonomous technology and a strong willingness to mentor others.\nBonus Points:\nExperience with optimizing large scale distributed training pipelines and/or highly optimized ML inference pipelines. \nExperience with MapReduce (Apache Hadoop/Spark) or orchestration frameworks (Apache Airflow, Apache Beam, Google Cloud Dataflow, AWS Step Functions).\nExperience solving data challenges specific to autonomous driving.\nFamiliarity with linear algebra (projections, transforms) and 3D geometry.\nExperience working with multimodal sensor data (e.g., LiDAR, RADAR, camera).","description_format":"text","description_chars":2148,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Canada","iso":"CA","kind":"country"},{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Autonomous Driving"],"lifecycle":[{"event":"open","at":"2026-03-26T16:35:32Z"}],"visa":[{"country":"CA","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"Positions approved through LMIA in 12 months: 3","filings_12m":3,"filings_prev_12m":0,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Global Talent Stream; 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