{"id":51833,"url":"https://alion.io/job/torc-robotics-machine-learning-engineer-ii-3d-perception","title":"Machine Learning Engineer, II - 3D Perception","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":83,"open_postings":3,"ghost_share":0,"stale_share":0.667,"repost_share":0,"time_to_fill_p50_days":49,"computed_at":"2026-10-04T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Ann Arbor, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":153200,"max":183800,"currency":"USD","period":"year","gross":null,"usd_annual":183800},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"C++","optional":true},{"name":"ROS","optional":true},{"name":"Sensor Fusion","optional":true}],"status":"live","first_seen_at":"2026-08-11T18:34:22Z","employer_posted_date":"2026-08-27","last_verified_at":"2026-10-04T23:52:57Z","board_verified":true,"closed_at":null,"days_open":54,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":54},"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\nTorc's Multi-Modal Perception team is responsible for developing the machine learning systems that enable our autonomous trucks to perceive and understand the world around them. By combining information from cameras, LiDAR, and other sensor modalities, the team builds production-ready perception capabilities that provide the foundation for safe, reliable autonomous driving.\nAs a Machine Learning Engineer II - 3D Perception, you'll join a collaborative team of machine learning engineers and researchers focused on solving complex real-world perception challenges. This role is primarily focused on advancing our Bird's Eye View (BEV) perception capabilities by developing, evaluating, and improving production machine learning solutions that support environmental understanding, model robustness, and system performance across Torc's autonomy stack.\nWhat You'll Do\nDesign, develop, and improve machine learning models supporting Torc's perception systems.\nOwn model development and delivery for well-defined perception problem areas, from data preparation and training through evaluation and integration.\nWrite production-quality Python and PyTorch code to support scalable training, evaluation, and inference workflows.\nAnalyze model performance, identify failure modes, and independently troubleshoot issues to improve robustness, accuracy, and generalization.\nDevelop and evaluate perception models leveraging multi-modal sensor data, with an emphasis on camera-based and 3D perception systems.\nCollaborate with software engineers, infrastructure teams, and autonomy engineers to integrate perception models into larger production software systems.\nContribute to improvements in training pipelines, data workflows, experimentation tooling, and developer workflows that accelerate model iteration and deployment.\nParticipate in model architecture discussions and contribute technical recommendations within the team.\nLead small technical initiatives or model components with guidance from senior engineers.\nSupport and mentor Machine Learning Engineer I team members on implementation, experimentation, and machine learning best practices.\nDocument technical work, evaluation results, and design decisions to support knowledge sharing and long-term maintainability.\nWhat You'll Need to Succeed\nBachelor's degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 4+ years of relevant industry experience, OR Master's degree with 3+ years of relevant experience, or equivalent practical experience.\nExperience developing machine learning models for computer vision, perception, robotics, autonomous systems, or a closely related domain.\nStrong programming skills in Python and PyTorch, with experience writing maintainable, production-quality machine learning code.\nExperience training, evaluating, and improving deep learning models using large-scale datasets.\nExperience working with image-based and/or 3D perception systems.\nSolid understanding of deep learning architectures commonly used for perception applications.\nExperience debugging model behavior, analyzing performance metrics, and proposing practical improvements.\nAbility to independently execute complex machine learning work within well-defined problem areas.\nExperience collaborating cross-functionally to integrate machine learning models into larger software systems.\nStrong problem-solving skills with the ability to operate effectively in an environment with evolving technical challenges and requirements.\nBonus Points\nExperience developing perception systems for autonomous driving, robotics, or ADAS.\nExperience with LiDAR, point cloud processing, sensor fusion, BEV representations, or other 3D perception techniques.\nExperience with temporal perception models or video-based learning.\nExperience with C++, ROS, or robotics software development.\nExperience deploying machine learning models into production autonomy or robotics platforms.\nExperience working with large-scale perception datasets and distributed training environments.\nFamiliarity with perception evaluation frameworks, model validation, and performance benchmarking.\nExperience improving ML tooling, automation, training workflows, or experimentation infrastructure.\nExperience leading a small technical initiative or owning a production ML component from development through deployment.\nWork Location: For this position, we are open to hiring in Ann Arbor, MI, Blacksburg, VA, Fort Worth, TX 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: 102882\nHiring Range for Job Opening \nUS Pay Range\n$153,200—$183,800 USD","description_format":"text","description_chars":6864,"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":["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":"2026-08-11T18:34:22Z"}],"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":"2026-10-03T21:08:04+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":46,"band":"ok","label":"Likely open","p_open":1,"p_active":0.832,"p_room":0.55,"age_days":53,"expected_fill_days":49,"reasons":["conf:0","velocity","win:tail"],"computed_at":"2026-10-04T05:45:00Z"},"pay":{"stated_usd_annual":183800,"is_top_pay":true},"html_url":"https://alion.io/job/torc-robotics-machine-learning-engineer-ii-3d-perception","json_url":"https://alion.io/job/torc-robotics-machine-learning-engineer-ii-3d-perception.json","meta":{"generated_at":"2026-10-05T00:55:06Z","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":1169,"day_limit":5000,"remaining_today":3831,"minute_limit":60,"resets_at":"2026-10-06T00:00:00Z"}}}