{"id":1648072,"url":"https://alion.io/job/machina-labs-senior-product-manager-machine-learning","title":"Senior Product Manager, Machine Learning","company":{"id":176695,"name":"Machina Labs","domain":"machinalabs.ai","url":"https://alion.io/company/machina-labs","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":91,"open_postings":21,"ghost_share":0,"stale_share":0.143,"repost_share":0,"time_to_fill_p50_days":81,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Product","role_family":"Product","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":["Chatsworth, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":210000,"currency":"USD","period":"year","gross":null,"usd_annual":210000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Machine Learning","optional":false},{"name":"Path Planning","optional":false}],"status":"live","first_seen_at":"2026-08-27T15:57:33Z","employer_posted_date":"2026-08-27","last_verified_at":"2026-10-25T03:14:03Z","board_verified":true,"closed_at":null,"days_open":58,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":57},"description":"About Machina:\nEngineering moves at software speed. Manufacturing doesn't. Yet.\nMachina Labs is changing that. We build intelligent, software-defined factories that produce complex metal structures directly from digital design. By integrating advanced metal forming, robotics, and automated production inside a flexible factory architecture, we enable customers to move from prototype to production in weeks, not years.\nBacked by Lockheed Martin, Toyota, and NVIDIA, we're building the manufacturing infrastructure that defense, aerospace, and advanced mobility programs will run on.\nIf you want to work on hard problems that matter and see them fly, drive, and defend, this is the place.\nAbout the Role\nThe hardest part of Roboforming is generating a path that will produce the highly accurate part you set out to make. The metal does not want to be formed. It springs back the instant the tool moves past it, and once formed it is packed full of residual stress that wants to pull the part out of spec at any change in environmental conditions. The path we generate is never the part we get, so the real task is finding the path that delivers the part we are after.\nToday we find that path by iterating. We form a part, measure the error, and adjust the path to compensate. This works, but it is expensive. Every run cost material, labor, and robot time. To make our manufacturing accessible to broader consumer markets we need to reach the objective part tolerance in fewer trials. We get there by predicting springback before we form.\nTraditional solvers cannot get us there. Off-the-shelf FEAs are built for a handful of known loads, not millions of separate small bends. Instead, we need to learn the behavior. This role owns the products that let us do that: machine learning across all the parts we have formed, and GPU based physics simulations where we simulate complex physics.\nPlanned Areas of Focus\nSpringbackPrediction\nYou will own the models that predicts how the part will spring back and pre-compensates the path, so the very first formed part lands close to the target shape.\nInput Parameter Selection\nYou will own the model that tells users which input parameters to pick during path planning, so the part forms optimally. This process is currently dependent on experience and tribal knowledge in a way that doesn’t scale.\nData and Simulation Environments\nYou will own the data sets necessary to train all ML models. This includes exploring historic data as well as working closely with the R&D team to plan experiments and runs necessary to fill in gaps in the data.\nResponsibilities\nOwn the machine learning and simulation roadmap. Define priorities, make tradeoffs, and communicate direction to engineering and leadership.\n\nRun sprints for the Machine Learning/Physics Sim team and drive delivery from discovery through release\n\nConduct direct user research with internal process engineers to deeply understand their needs and how ML can help their workflow\n\nWrite clear product requirements that engineers can build from, with enough technical depth to have substantive tradeoff conversations\n\nBecome the internal expert on what happens at the cell and how that behavior can be modeled: what the robots are doing, why material type matters, and which predictions would actually change a user's decision.\n\nParticipate in company roadmap and strategy discussions, representing the software tools perspective\n\nPartner with the Product Lead to align the machine learning roadmap with broader company priorities\n\nWhat We’reLooking For\nYou Have\nA bachelor's degree in computer science, electrical engineering, or a related engineering field. Or equivalent practical experience demonstrating the same depth\n\n5+ years of product management experience in technical software environments\n\nA proven track record of shipping complex solutions. You define problems before solutions, drive engineering execution, and measure success by outcomes, not output.\n\nEnough depth to steer technical direction with an ML team - you can debate architecture choices, know what data an approach requires, and recognize when one is a bad bet.\n\nDeep curiosity about users. You get close to the people using your software and build products that genuinely improve how they work.\n\nOutstanding communicator, comfortable presenting to executives, influencing teams across the company, and aligning collaborators\n\nWe Prefer\nPrior product experience where a model output is the product\n\nDirect experience with machine learning or computer vision, whether from coursework, research, or models you built and trained yourself.\n\nExperience building or using physics-based simulation","description_format":"text","description_chars":4667,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Industrial Robotics","Metal Fabrication"],"lifecycle":[{"event":"open","at":"2026-10-02T00:08:21Z"}],"visa":[],"liveness":{"score":61,"band":"ok","label":"Likely open","p_open":1,"p_active":0.814,"p_room":0.75,"age_days":57,"expected_fill_days":81,"reasons":["conf:1","win:late"],"computed_at":"2026-10-24T06:02:35Z"},"pay":{"stated_usd_annual":210000,"is_top_pay":true},"html_url":"https://alion.io/job/machina-labs-senior-product-manager-machine-learning","json_url":"https://alion.io/job/machina-labs-senior-product-manager-machine-learning.json","meta":{"generated_at":"2026-10-25T04:00:27Z","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":5219,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-26T00:00:00Z"}},"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":176695},"rest":"https://alion.io/mcp/rest/get_company?id=176695"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmachina-labs-senior-product-manager-machine-learning"},{"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%2Fmachina-labs-senior-product-manager-machine-learning"},{"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%2Fmachina-labs-senior-product-manager-machine-learning"},{"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/machina-labs-senior-product-manager-machine-learning\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmachina-labs-senior-product-manager-machine-learning"}]}