{"id":15057,"url":"https://alion.io/job/serve-robotics-lead-machine-learning-engineer","title":"Lead Machine Learning Engineer","company":{"id":2805,"name":"Serve Robotics","domain":"serverobotics.com","url":"https://alion.io/company/serve-robotics","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Toronto, Canada","Ottawa, Canada","Calgary, Canada","Montreal, Canada"],"countries":["CA"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":225000,"max":260000,"currency":"CAD","period":"year","gross":null,"usd_annual":182462},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"Agile","optional":true},{"name":"Computer Vision","optional":true}],"status":"live","first_seen_at":"2026-03-27T22:47:20Z","employer_posted_date":"2026-03-27","last_verified_at":"2026-10-18T07:32:56Z","board_verified":true,"closed_at":null,"days_open":204,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":204},"description":"At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.\nThe Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.\nWho We Are\nWe are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.\nThis role develops and scales large-scale machine learning training systems for multimodal robotics data, enabling the creation of high-performance autonomy models. By optimizing distributed training pipelines, neural network architectures, and data processing workflows, the position improves training efficiency, accelerates model iteration, and maximizes GPU utilization. The role collaborates closely with ML researchers and infrastructure teams, influencing the design, deployment, and performance of end-to-end autonomy models and the large-scale data pipelines that support them.\nResponsibilities\nDesign and maintain training systems that can process and learn from petabyte-scale multimodal datasets (e.g., video and point cloud data). This includes ensuring data is efficiently loaded, distributed, and processed across large GPU clusters.\n\nIdentify and resolve bottlenecks in the training pipeline, including data loading, preprocessing, model computation, and inter-node communication, to maximize GPU utilization and reduce training time.\n\nWork with the ML team to develop and refine neural network architectures suitable for autonomy tasks, particularly those handling high-dimensional and sequential sensor data.\n\nCreate and adjust loss functions and training strategies that help the model learn effectively from complex multimodal inputs and improve autonomy performance.\n\nConfigure, monitor, and maintain large-scale distributed training jobs across multiple machines and GPUs, ensuring stability, fault tolerance, and efficient resource usage.\n\nImplement scalable systems to preprocess, transform, and augment large robotics datasets so that they are suitable for model training.\n\nWork closely with ML scientists and other engineers to integrate new models, experiments, and training approaches into the production training pipeline.\n\nAnalyze training metrics, model outputs, and experiment logs to assess model performance and guide improvements in architecture, data usage, or training strategies.\n\nDevelop tools and workflows that allow teams to run experiments, track results, and iterate quickly on new model ideas or training approaches.\n\nQualifications\nMaster’s or PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a closely related technical discipline.\n\nMinimum of 5 years of professional experience developing, training, and deploying machine learning models in production environments.\n\nHands-on experience training machine learning models across multiple GPUs or compute nodes, including familiarity with distributed training frameworks and large dataset handling.\n\nStrong programming skills in Python for implementing machine learning models, data pipelines, and training workflows.\n\nSolid knowledge of core concepts such as neural networks, optimization algorithms, loss functions, model evaluation, and training methodologies.\n\nWhat Makes You Stand out\nExperience identifying and resolving training bottlenecks related to compute utilization, memory usage, and data throughput in machine learning systems.\n\nExperience training machine learning models on robotics or autonomous driving datasets involving multimodal sensor inputs such as camera video, LiDAR point clouds, radar, or telemetry data.\n\nExperience developing models that combine multiple data modalities (e.g., images, point clouds, and structured sensor data) into a unified learning system.\n\nPeer-reviewed publications or significant research contributions in machine learning, robotics, or related areas.\n\n* Please note: The listed base salary range applies to candidates based in the US. Compensation may vary depending on location, experience, and role alignment. We are open to qualified candidates working remotely in Canada\nCanada - ALL: $177k - $215k CAD","description_format":"text","description_chars":4802,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Delivery","Retail & Commercial Robotics","Service & Hospitality Robotics"],"lifecycle":[{"event":"open","at":"2026-03-27T22:47:20Z"}],"visa":[],"liveness":{"score":18,"band":"cold","label":"Long shot","p_open":1,"p_active":0.627,"p_room":0.28,"age_days":203,"expected_fill_days":86,"reasons":["conf:4","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":182462,"is_top_pay":false},"html_url":"https://alion.io/job/serve-robotics-lead-machine-learning-engineer","json_url":"https://alion.io/job/serve-robotics-lead-machine-learning-engineer.json","meta":{"generated_at":"2026-10-18T08:14:01Z","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":12366,"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":2805},"rest":"https://alion.io/mcp/rest/get_company?id=2805"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fserve-robotics-lead-machine-learning-engineer"},{"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%2Fserve-robotics-lead-machine-learning-engineer"},{"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%2Fserve-robotics-lead-machine-learning-engineer"},{"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/serve-robotics-lead-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fserve-robotics-lead-machine-learning-engineer"}]}