{"id":3986242,"url":"https://alion.io/job/persona-ai-robotics-machine-learning-engineer-2","title":"Robotics Machine Learning Engineer","company":{"id":63117,"name":"Persona AI","domain":"persona.ai","url":"https://alion.io/company/persona-ai","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":91,"open_postings":6,"ghost_share":0,"stale_share":0.167,"repost_share":0,"time_to_fill_p50_days":64,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Robotics","role_family":"Robotics","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Houston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"C++","optional":false},{"name":"GCP","optional":false},{"name":"JAX","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Rust","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"CI/CD","optional":true},{"name":"Computer Vision","optional":true},{"name":"Docker","optional":true}],"status":"live","first_seen_at":"2026-11-09T21:13:46Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-09T21:44:03Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Title: Robotics Machine Learning Engineer\nDepartment: Software Engineering\nEmployment Type: Full-Time\nFLSA Status: Exempt\nLocation: Houston, TX\nTravel: 10%\nWho We Are\nPersona AI is building humanoid robots for the most demanding environments in heavy industry - shipyards, steel mills, fabrication facilities, and offshore platforms - performing welding, grinding, maintenance, inspection, and material-handling work that is dangerous, physically demanding, and increasingly difficult to staff.\nWe are backed by leading strategic and financial investors and engaged with global industrial leaders across Korea, Japan, the United States, and Singapore. Korea is the center of gravity for our early commercial strategy, anchored by relationships with the world’s leading shipbuilders and steelmakers. Our work spans both the robot platform itself and the systems, partners, and playbooks required to deploy it at scale.\nWhy Join Persona AI?\nWe offer competitive compensation, a performance-based bonus, 100% employer covered medical benefits for most healthcare plans, early-stage equity, competitive PTO, and company-wide paid winter break between December 24th and January 2nd.\n\nYou’ll shape technology that’s redefining the possibilities of robotics and human interaction.\n\nWork alongside passionate teammates who value creativity, and continuous learning.\n\nAbout the Role\nWe're looking for a Machine Learning Engineer to drive Persona’s large-scale ML infrastructure and facilitate the robot learning effort. We're looking for exceptional talent who dream big, thrive on challenges, and love seeing their efforts make an impact on Persona’s humanoid robots doing real work in real-world environments.\nYou will be working extensively on large-scale data pipelines, training infrastructure, and robot evaluation procedures in simulation and on hardware. You will help Persona AI scale the ML effort effectively by managing data and training artifacts, and building solid production-level software across various ML components.\nIf you want to build a robust infrastructure to scale robot learning on all fronts, this role is for you.\nWhat You Will Be Doing\nContribute to Persona’s large-scale ML software stack across data, training, and evaluation.\n\nDesign and implement the ML software infrastructure with thoughtful abstraction and scalability.\n\nWork with the ML team to craft and execute a comprehensive plan for the development of machine learning models.\n\nDevelop comprehensive test suites to ensure correct and performant execution of the ML pipelines.\n\nLeverage cloud platforms for flexible compute capacity, data management, and task automation.\n\nKeep up to date with the state of the art in ML research and development.\n\nCollaborate in attracting, nurturing, and growing the Machine Learning and Data teams.\n\nWhat We Are Looking For:\n3+ years of experience in machine learning directly applied to robotics.\n\nBachelor's, Master's, or PhD in Robotics, Computer Science, or a related field.\n\nCourage and grit to tackle complex large-scale engineering problems for robotics.\n\nExperience with production ML software deployment.\n\nExperience with cloud computing to develop models, store data, etc. (AWS, Azure, GCP).\n\nStrong expertise with deep learning frameworks (PyTorch, JAX, TensorFlow, etc.).\n\nEnthusiasm for working collaboratively in a fast-paced team environment.\n\nCapable of writing high-quality software in Python, C++, or Rust.\n\nBonus Skills:\nExperience with other aspects of ML applied to robotics, including robot simulation, locomotion, computer vision, robot hardware, and sensors.\n\nExperience with other aspects of software engineering, including CI/CD, build systems, and Docker.\n\nHave trained models and deployed them to robots in production environments.\n\nPersona AI is an Equal Opportunity 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