{"id":189110,"url":"https://alion.io/job/torc-robotics-senior-machine-learning-engineer-localization","title":"Senior Machine Learning Engineer - Localization","company":{"id":3372,"name":"Torc Robotics","domain":"torc.ai","url":"https://alion.io/company/torc-robotics","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":81,"open_postings":4,"ghost_share":0,"stale_share":0.75,"repost_share":0,"time_to_fill_p50_days":50,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Ann Arbor, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":177300,"max":212800,"currency":"USD","period":"year","gross":null,"usd_annual":212800},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"C++","optional":false},{"name":"Localization","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"Sensor Fusion","optional":false},{"name":"SLAM","optional":false},{"name":"Kubernetes","optional":true},{"name":"Ray","optional":true},{"name":"Synthetic Data","optional":true}],"status":"live","first_seen_at":"2026-09-01T20:42:53Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-18T07:21:08Z","board_verified":true,"closed_at":null,"days_open":46,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":46},"description":"About the Company \nAt Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.\nA leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. \nJoin us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. \nMeet the Team \nAccurate and highly available information about vehicle motion and position is fundamental to the safe operation of autonomous trucks. Core capabilities such as perception, prediction, planning, and control depend on reliable ego-motion and localization estimates to ensure safe and efficient vehicle behavior. \nThe Ego-Motion & Localization Team develops the ML models, state estimation algorithms, and production software responsible for estimating vehicle pose, velocity, and acceleration in real time. Our solutions fuse information from multiple sensors and maintain robust performance despite sensor imperfections, environmental challenges, and system degradation. As part of this team, you will develop and deploy production-ready localization and sensor fusion solutions and help solve the challenges of bringing autonomous vehicle technology to real-world commercial applications. \nWhat You'll Do \nDesign, develop, and deploy production ML models for ego-motion estimation and localization, including learned pose estimation, sensor extrinsic calibration, map matching, and sensor fusion using camera, LiDAR, radar, and other vehicle sensors. \nDevelop scalable training and evaluation workflows using PyTorch, distributed training infrastructure, and large-scale real-world datasets. \nDesign and improve state estimation and sensor fusion algorithms for robust vehicle pose, velocity, and acceleration estimation. \nAnalyze large-scale vehicle data to characterize performance, identify failure modes, and drive model and system improvements. \nDevelop robust, efficient production software in modern C++ and Python across the full development lifecycle. \nDefine evaluation, verification, and validation strategies to ensure localization quality, robustness, and safety across diverse operating conditions. \nMake technical design and architecture decisions, balancing model performance, computational efficiency, robustness, and production constraints. \nCollaborate with perception, mapping, planning, controls, and platform teams to deliver integrated autonomous driving capabilities. \nProvide technical leadership through design reviews, code reviews, mentoring, and development of engineering best practices. \n What You'll Need to Succeed \nBachelor’s degree in Computer Science, Software Engineering, Robotics, or a related field with 6+ years of relevant industry experience, or a Master’s degree with 3+ years of relevant industry experience, or a PhD with 1+ year of relevant industry experience. \nExperience with AV or robotics localization systems (e.g., LiDAR-based localization, visual odometry, SLAM, or map-based pose estimation). \nStrong experience developing and deploying ML models for perception, localization, or sensor fusion domains. \nProficiency with PyTorch and modern ML tooling for training, inference, and optimization. \nSolid understanding of 3D geometry, probabilistic estimation, coordinate transforms, and robotics fundamentals. \nDemonstrated ability to work with large multimodal datasets and build scalable pipelines for processing, labeling, and evaluation. \nStrong software engineering fundamentals in Python and C++, including algorithms, data structures, testing, debugging, and performance optimization. \nStrong written and verbal communication skills and the ability to work effectively on cross-functional teams. \n Bonus Points \nExperience with state estimation techniques such as factor graphs, Kalman filtering, nonlinear optimization, or related probabilistic estimation methods. \nFamiliarity with distributed computing tools such as Ray, Kubernetes, or similar orchestration frameworks. \nKnowledge of embedded and real-time constraints for on-vehicle deployment. \nExperience in simulation, synthetic data generation, and uncertainty-aware ML modeling. \nContributions to open-source robotics, perception, or ML frameworks. \nFamiliarity with functional safety standards and automotive development processes, including ISO 26262. \nWork Location: For this position, we are open to hiring in Ann Arbor, MI (U.S.) office work locations in a hybrid capacity. We are also open to hiring Remote in the United States.\nPerks of Being a Full-time Torc’r \nTorc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers: \nA competitive compensation package that includes a bonus component and stock options\n100% paid medical, dental, and vision premiums for full-time employees \n401K plan with a 6% employer matchFlexibility in schedule and generous paid vacation (available immediately after start date)Company-wide holiday office closures\nAD+D and Life Insurance \nAt Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. \nEven if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply. \nOur compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. \nJob ID: 102894\nHiring Range for Job Opening \nUS Pay Range\n$177,300—$212,800 USD","description_format":"text","description_chars":6426,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan","Life insurance","Stock options"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Autonomous Driving","Logistics","Road Transport"],"lifecycle":[{"event":"open","at":"2026-09-02T08:03:35Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 71 · green card filings: 9","filings_12m":71,"filings_prev_12m":91,"green_card_filings_12m":9,"median_offered_wage_usd":170250,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":15}],"liveness":{"score":61,"band":"ok","label":"Likely open","p_open":1,"p_active":0.814,"p_room":0.75,"age_days":45,"expected_fill_days":50,"reasons":["conf:3","velocity","win:late"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":212800,"is_top_pay":true},"html_url":"https://alion.io/job/torc-robotics-senior-machine-learning-engineer-localization","json_url":"https://alion.io/job/torc-robotics-senior-machine-learning-engineer-localization.json","meta":{"generated_at":"2026-10-18T07:44:20Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":11546,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3372},"rest":"https://alion.io/mcp/rest/get_company?id=3372"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftorc-robotics-senior-machine-learning-engineer-localization"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ftorc-robotics-senior-machine-learning-engineer-localization"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ftorc-robotics-senior-machine-learning-engineer-localization"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/torc-robotics-senior-machine-learning-engineer-localization\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftorc-robotics-senior-machine-learning-engineer-localization"}]}