{"id":1931166,"url":"https://alion.io/job/atoms-machine-learning-engineer-intern","title":"Machine Learning Engineer Intern","company":{"id":1533,"name":"Atoms","domain":"atoms.co","url":"https://alion.io/company/atoms","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":94,"open_postings":85,"ghost_share":0,"stale_share":0.247,"repost_share":0,"time_to_fill_p50_days":56,"computed_at":"2026-10-09T06:01:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":70,"max":null,"currency":"USD","period":"hour","gross":null,"usd_annual":140000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"JAX","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":"World Models","optional":false},{"name":"Computer Vision","optional":true},{"name":"Physical AI","optional":true},{"name":"Reinforcement Learning","optional":true},{"name":"Reinforcement Learning","optional":true}],"status":"live","first_seen_at":"2026-10-05T20:54:55Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-09T23:08:18Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Who we are \nAtoms is building the machines that power the next era of progress.\nOver the last decade, software has transformed the digital world. But the physical world, where food is made, minerals are mined, goods are moved, and industries are run, remains far less intelligent, far less efficient, and far more constrained. We’re changing that.\nAtoms builds Physical AI- real-world robots for the industries that move civilization forward, starting with food, mining, and transport. Our systems are designed to understand, predict, and control the real world with precision, turning complex physical operations into something more reliable, more scalable, and more productive.\nThis work requires more than robotics. It requires deep integration across hardware, software, AI, operations, manufacturing, and real estate. We don’t just build machines in a lab. We deploy them into real environments, operate them, learn from them, and improve them until they work at scale.\nWe are roboticists, engineers, operators, and builders. We believe the next great technology companies will not only transform information, but the physical systems that shape everyday life.\nIf you want to work on hard problems with real-world impact, join us.\nWhat you’ll do\nAs an ML Intern on our team, you will help bridge the gap between high-level AI research and real-world physical actuation for our next-generation autonomous transport platforms. Working alongside senior engineers, you will contribute directly to production-grade models, real-time edge pipelines, and multi-sensor data systems that power our physical machines.\nCollaborate with research engineers to prototype, evaluate, and test emerging Machine Learning and Deep Learning models for trajectory planning and autonomous behavior.\nHelp design and evaluate multimodal systems that integrate raw multi-sensor data (Cameras, LiDAR, Radar) to improve spatial-temporal perception.\nAssist in developing interactive world models and simulation tools to re-simulate real-world driving logs and analyze vehicle trajectories.\nProfile and optimize inference pipelines to help run complex models under low latency constraints on vehicle edge hardware.\nWork with data engineering workflows to identify, curate, and structure rare, complex edge cases and long-tail scenarios from physical operations.\nPartner with validation and QA teams to run model releases through simulated scenarios to catch performance regressions and track model behavior.\nWhat we’re looking for\nCurrently pursuing a BS, MS, or PhD in Computer Science, Robotics, Electrical Engineering, Data Science, or a related technical field.\nStrong foundation in deep learning concepts and experience with modern frameworks like PyTorch or JAX (through coursework, research, or prior internships).\nHands-on programming experience in Python; familiarity with C++ is a plus.\nAcademic coursework, project experience, or research in one or more relevant domains: Computer Vision, Spatial-Temporal Modeling, Reinforcement Learning, Model Optimization, Model Evaluation, or Data Engineering.\nFamiliarity with robotics data structures or multi-sensor processing (Cameras, LiDAR, or Radar) is highly preferred.\nA passion for solving complex, messy real-world engineering problems and deploying AI into physical systems.\nWhy join us\nAt Atoms, you’ll work on one of the defining challenges of our time-bringing automation into the physical world to drive real, lasting impact. We exist to uncover valuable unknown truths and turn them into progress, which means constantly pushing beyond what’s known and building what doesn’t yet exist. The work is ambitious and often challenging, but it’s grounded in a shared sense of purpose and a team committed to seeing it through together. Our work only matters if it serves others, and we know that meaningful progress depends on the trust of the people we serve and the strength of our team-so we invest in both, creating an environment where you can do your best work and grow.\nWhat else you need to know\nThis role is based in our San Francisco office. Atoms is a company driven by invention and continuous change - we are constantly reimagining our industries, building new products, and refining how we operate. We do our best work together. That’s why all of our office-based teams work onsite, five days a week.\nProgram Dates: Our internship is a 12-weeks program. Cohort sessions run as follows:\nWinter 2027: January - April\nSummer 2027: Late May - September\nThe base salary range for this role is$70.00 per hour.\nActual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications.\nReady to join us as we serve those who serve others? \n#LI-Onsite","description_format":"text","description_chars":4746,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Manufacturing","Robotics","Industrial Automation","Industrial Robotics"],"lifecycle":[{"event":"open","at":"2026-10-05T21:59:07Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":3,"expected_fill_days":56,"reasons":["conf:2","velocity","win:early","comp:junior,brand"],"computed_at":"2026-10-09T06:01:00Z"},"pay":{"stated_usd_annual":140000,"is_top_pay":false},"html_url":"https://alion.io/job/atoms-machine-learning-engineer-intern","json_url":"https://alion.io/job/atoms-machine-learning-engineer-intern.json","meta":{"generated_at":"2026-10-10T01:45:00Z","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","counted_by":"address","units_charged":1,"used_today":3134,"day_limit":5000,"remaining_today":1866,"minute_limit":60,"resets_at":"2026-10-11T00:00:00Z"}},"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":1533},"rest":"https://alion.io/mcp/rest/get_company?id=1533"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fatoms-machine-learning-engineer-intern"},{"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%2Fatoms-machine-learning-engineer-intern"},{"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%2Fatoms-machine-learning-engineer-intern"},{"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/atoms-machine-learning-engineer-intern\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fatoms-machine-learning-engineer-intern"}]}