{"id":2059182,"url":"https://alion.io/job/trace-labs-machine-learning-engineer-applied","title":"Machine Learning Engineer, Applied","company":{"id":55965,"name":"Trace Labs","domain":"trace-labs.ai","url":"https://alion.io/company/trace-labs","size_band":null,"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":"junior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["New York, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":185000,"max":245000,"currency":"USD","period":"year","gross":null,"usd_annual":245000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Physical AI","optional":false},{"name":"JAX","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"Time Series Forecasting","optional":true}],"status":"live","first_seen_at":"2026-10-07T23:14:06Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-11T00:30:57Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"About Trace\nTrace Labs is building the data infrastructure for physical AI.\nPhysical AI has the potential to transform how work gets done in the real world, from robotics to embodied systems that can see, move, and interact with their environment. But today, progress is held back by one big gap: there’s no scalable way to collect high-quality, real-world training data. Frontier robotics models are trained on far less data than language models, because there’s no “internet of robotics data.”\nTrace exists to change that. We capture how humans actually interact with the physical world, at scale, and we build the ML systems that make every hour of that data more valuable.\nWe’re an early, deeply technical team. We move fast, we care about quality, and we believe the teams with the best data will build the best robots.\nThe role\nThis role sits between ML engineering and research. You’ll bring strong ML engineering skills, a research mindset, and deep learning fundamentals to the hardest problems we see coming at Trace, then ship the answers into production.\nYou’ll work closely with our computer vision team, but this role is broader and more product-focused. You won’t live on one type of data. One month you might be working with sensor signals, the next with hand tracking video, the next with language. What matters is getting a high-quality model working fast and putting it to use.\nWe care much more about what you’ve built and shipped than where you’ve published. If you’re earlier in your career but have a clear track record of moving fast and owning hard problems, we want to talk.\nWhat you will do\nOwn models end to end: data, training, evaluation, and deployment into our annotation pipeline.\n\nBuild training pipelines for large, multimodal datasets, including video, sensor streams, and language.\n\nPartner with our Head of Engineering and the CV team to get models into production and keep them improving.\n\nStart with the simplest approach that works, then make it better. Pull from recent papers when they help you ship, not as the end goal.\n\nMove quickly between very different problems, and build the tooling you need along the way.\n\nWhat we're looking for\nA BS in Computer Science, Electrical Engineering, Mathematics, Aerospace, or a related field, or equivalent practical experience. An MS is a plus, not a must.\n\n2+ years of industry of hands-on experience training deep learning models on real-world data, at a company, startup, or national lab. Earlier in your career is okay if your track record shows it.\n\nStrong proficiency in Python and a modern deep learning framework such as PyTorch or JAX.\n\nA solid grounding in ML fundamentals, including architectures, optimization, loss design, and evaluation.\n\nComfort with messy, real-world data such as video, time series, or sensor streams.\n\nAn extraordinary bias toward shipping. You go from idea to working model fast, and you make good calls under uncertainty.\n\nHigh agency. You find the problem, own it, and get it done without waiting to be told.\n\nRange. You’re excited to work across different kinds of data and problems, not just one narrow specialty.\n\nWhy Trace Labs\nA foundational problem. The data layer for physical AI is still being defined. You’ll help define it.\n\nData at scale from day one. We have the resources to collect it. Your job is to make it count.\n\nReal ownership. Your models ship into production and directly shape what our data can do.\n\nRoom to grow. Go deeper into ML, take on bigger systems, or both.","description_format":"text","description_chars":3509,"description_truncated":false,"requirements":{"experience_years_min":2,"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"},{"name":"New York","iso":null,"kind":"city"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Web3 & dApps","Blockchain Infrastructure","Knowledge Graphs"],"lifecycle":[{"event":"open","at":"2026-10-08T01:05:11Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":2,"expected_fill_days":22,"reasons":["conf:1","win:early","comp:junior"],"computed_at":"2026-10-10T05:45:15Z"},"pay":{"stated_usd_annual":245000,"is_top_pay":false},"html_url":"https://alion.io/job/trace-labs-machine-learning-engineer-applied","json_url":"https://alion.io/job/trace-labs-machine-learning-engineer-applied.json","meta":{"generated_at":"2026-10-11T02:22:16Z","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":3799,"day_limit":5000,"remaining_today":1201,"minute_limit":60,"resets_at":"2026-10-12T00:00:00Z"}},"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":55965},"rest":"https://alion.io/mcp/rest/get_company?id=55965"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftrace-labs-machine-learning-engineer-applied"},{"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%2Ftrace-labs-machine-learning-engineer-applied"},{"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%2Ftrace-labs-machine-learning-engineer-applied"},{"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/trace-labs-machine-learning-engineer-applied\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftrace-labs-machine-learning-engineer-applied"}]}