{"id":43732,"url":"https://alion.io/job/datologyai-research-engineer","title":"Research Engineer","company":{"id":9100,"name":"DatologyAI","domain":"datologyai.com","url":"https://alion.io/company/datologyai","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"C","score":56,"open_postings":11,"ghost_share":0.727,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":48,"computed_at":"2026-10-16T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Mateo, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":180000,"max":300000,"currency":"USD","period":"year","gross":null,"usd_annual":300000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Dask","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Ray","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"Synthetic Data","optional":false}],"status":"live","first_seen_at":"2026-06-04T05:49:36Z","employer_posted_date":"2026-06-04","last_verified_at":"2026-10-16T07:51:32Z","board_verified":true,"closed_at":null,"days_open":134,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":133},"description":"About the Company\nModels are what they eat. But a large portion of training compute is wasted training on data that are already learned, irrelevant, or even harmful, leading to worse models that cost more to train and deploy.\nAt DatologyAI, we’ve built a state of the art data curation suite to automatically curate and optimize petabytes of data to create the best possible training data for your models. Training on curated data can dramatically reduce training time and cost (7-40x faster training depending on the use case), dramatically increase model performance as if you had trained on >10x more raw data without increasing the cost of training, and allow smaller models with fewer than half the parameters to outperform larger models despite using far less compute at inference time, substantially reducing the cost of deployment. For more details, check out our recent research on synthetic data scaling (BeyondWeb) and pretraining with domain-specific data (The Finetuner’s Fallacy).\nWe raised a total of $57.5M in two rounds, a Seed and Series A. Our investors include Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, Amazon, and AI visionaries like Geoff Hinton, Yann LeCun, Jeff Dean, and many others who deeply understand the importance and difficulty of identifying and optimizing the best possible training data for models. Our team has pioneered this frontier research area and has the deep expertise on both data research and data engineering necessary to solve this incredibly challenging problem and make data curation easy for anyone who wants to train their own model on their own data.\nThis role is based in San Mateo, CA. We are in office 4 days a week.\nAbout the Role\nAs a Research Engineer, you will play a crucial role in conducting and enabling cutting-edge research and translating it into our core product pipeline. You will work closely with other members of the technical staff to develop and improve state-of-the-art data curation strategies. Your technical skills will accelerate our research and ensure that our product remains at the forefront of innovation.\nWhat You'll Work On\nYou'll build and scale the data processing and curation pipelines that operate over massive language, vision, and multimodal datasets, and make them fast, reliable, and cheap to run.\n\nYou'll design the experimentation infrastructure that lets scientists iterate quickly at scale, turning a good idea into a running experiment in hours.\n\nOur work is guided by concrete customer needs and product outcomes. You'll take research results and harden them into production-grade systems that customers depend on.\n\nYou'll profile and optimize large-scale training and data workloads, because at frontier scale, performance and cost are research constraints.\n\nAbout You\n3+ years building ML systems, data infrastructure, or large-scale distributed applications.\n\nStrong software engineering fundamentals, fluency in Python, and hands-on experience with PyTorch.\n\nExperience with distributed data processing and/or distributed training, using tools such as Spark, Ray, Dask, or Snowflake.\n\nComfort operating large-scale compute, including GPU clusters and cloud infrastructure.\n\nEnough machine learning depth to collaborate substantively with researchers, not just implement their specs.\n\nA demonstrated track record of shipping systems that others rely on, whether through production infrastructure, open-source tools, or other artifacts.\n\nCompensation\nAt DatologyAI, we are dedicated to rewarding talent with competitive salary and meaningful equity. The salary for this position ranges from $180,000 to $300,000.\nStarting pay is based on job-related skills, experience, qualifications, and interview performance.\n\nBenefits:\n100% covered health benefits (medical, vision, and dental).\n\n401(k) plan with a generous 4% company match.\n\nUnlimited PTO policy\n\nPaid Parental Leave of 12 weeks, plus 6 months of WFH flexibility.\n\nAnnual $2,000 wellness stipend.\n\nAnnual $1,000 learning and development stipend.\n\nDaily lunches and snacks are provided in our office!\n\nRelocation assistance for employees moving to the Bay Area.","description_format":"text","description_chars":4142,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Parental leave","Relocation assistance","Unlimited PTO"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Machine Learning","AI Training Data & Annotation","AI Research Labs"],"lifecycle":[{"event":"open","at":"2026-06-04T05:49:36Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 5 · green card filings: 1","filings_12m":5,"filings_prev_12m":2,"green_card_filings_12m":1,"median_offered_wage_usd":229167,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":4}],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":1,"p_active":0.206,"p_room":0.28,"age_days":133,"expected_fill_days":48,"reasons":["conf:2","stale_co","win:tail","crowd:"],"computed_at":"2026-10-16T05:45:00Z"},"pay":{"stated_usd_annual":300000,"is_top_pay":true},"html_url":"https://alion.io/job/datologyai-research-engineer","json_url":"https://alion.io/job/datologyai-research-engineer.json","meta":{"generated_at":"2026-10-16T11:44:15Z","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":10672,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"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":9100},"rest":"https://alion.io/mcp/rest/get_company?id=9100"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdatologyai-research-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%2Fdatologyai-research-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%2Fdatologyai-research-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/datologyai-research-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdatologyai-research-engineer"}]}