{"id":2494758,"url":"https://alion.io/job/lila-sciences-research-engineer-scientific-data-workflow-infrastructure","title":"Research Engineer, Scientific Data & Workflow Infrastructure","company":{"id":65163,"name":"Lila Sciences","domain":"lila.ai","url":"https://alion.io/company/lila-ai","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":89,"open_postings":49,"ghost_share":0,"stale_share":0.224,"repost_share":0,"time_to_fill_p50_days":70,"computed_at":"2026-10-14T06:34:16Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cambridge, United States","San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":148000,"max":240000,"currency":"USD","period":"year","gross":null,"usd_annual":240000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Python","optional":false},{"name":"CI/CD","optional":true},{"name":"Dagster","optional":true},{"name":"Flyte","optional":true},{"name":"Kubernetes","optional":true},{"name":"LLM","optional":true},{"name":"MLFlow","optional":true},{"name":"Ray","optional":true}],"status":"live","first_seen_at":"2026-08-03T13:42:32Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-14T23:44:19Z","board_verified":true,"closed_at":null,"days_open":72,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":72},"description":"Your Impact at LILA\nLila is building an operating system for science, powered by scientific superintelligence - generating hypotheses, designing and running experiments, and learning from new data in real time to speed up discovery in fields like therapeutics and advanced materials.\nThe Molecular Intelligence team builds ML and physics-based infrastructure for drug discovery: biophysics workflows, computational chemistry tools, cofolding models, low-data learning systems, simulation workflows, and agent-usable scientific pipelines. This role sits embedded with scientists, working closely with Lila’s platform teams on the storage, compute, and orchestration layers beneath it. You’ll build the provenance system that connects every scientific input, code version, model, run, and result produced across Lila’s simulation, ML, and agent-driven workflows - so a scientist can find a result months later, trace exactly how it was produced, and reuse it without reconstructing it from logs.\nWhat You'll Be Building\nShared provenance infrastructure - a queryable, trusted record connecting inputs, code/model versions, runs, and outputs across simulation, ML, and agent workflows.\nData models and metadata schemas for runs, artifacts, and results that work across heterogeneous scientific tools.\nReusable Python libraries and APIs that let tools, pipelines, and AI agents write to and read from shared storage and metadata systems.\nStructured records from agent activity - turning ephemeral agent traces into durable, queryable data.\nProduction-grade tooling from research prototypes - taking scientific workflows from one-off scripts to scalable, maintainable services.\n Engineering conventions (CI, testing, packaging, release practices, documentation) that hold up across local, cloud, and GPU compute environments.\nWhat You'll Need to Succeed\nStrong Python engineering skills with a track record of designing and shipping maintainable systems.\nExperience with data modeling - schemas, metadata, identifiers, versioning for data that changes over time.\nExperience designing APIs and building libraries that other engineers or scientists depend on.\nExperience supporting research workflows (ML experiments, simulations, data pipelines) with a clear sense of what makes results reproducible.\nBonus Points For\nFamiliarity with chemistry, computational biophysics, molecular simulation, or drug discovery workflows.\nExperience with experiment tracking / data lineage tools (MLflow, Weights & Biases, OpenLineage, DVC).\nExperience with workflow orchestration (Flyte, Ray, Argo, Airflow, Temporal, Dagster).\nExperience with Kubernetes, containers, and CI/CD at scale.\nGPU computing experience, ideally at hundreds-to-thousands-of-GPU scale.\nExperience building tools for LLM agents or automated research workflows.\nCompensation\nWe offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.\nU.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.\nInternational Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.\nExpected Base Salary Range\n$148,000—$240,000 USD\nAbout LILA\nLila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.\nLILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.\nGuided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.\nWe’re All In\nLila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\nInformation you provide during your application process will be handled in accordance with our Candidate Privacy Policy.\nA Note to Agencies\nLila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.","description_format":"text","description_chars":5440,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible time off","Parental leave"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Materials Science & Nanotechnology","Laboratory & Pharmaceutical Robotics","AI Research Labs","AI for Science"],"lifecycle":[{"event":"open","at":"2026-10-14T04:05:41Z"}],"visa":[],"liveness":{"score":29,"band":"fade","label":"Fading","p_open":1,"p_active":0.653,"p_room":0.44,"age_days":71,"expected_fill_days":70,"reasons":["conf:2","win:tail","crowd:brand"],"computed_at":"2026-10-14T06:34:16Z"},"pay":{"stated_usd_annual":240000,"is_top_pay":true},"html_url":"https://alion.io/job/lila-sciences-research-engineer-scientific-data-workflow-infrastructure","json_url":"https://alion.io/job/lila-sciences-research-engineer-scientific-data-workflow-infrastructure.json","meta":{"generated_at":"2026-10-15T01:11:10Z","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":1446,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"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":65163},"rest":"https://alion.io/mcp/rest/get_company?id=65163"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flila-sciences-research-engineer-scientific-data-workflow-infrastructure"},{"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%2Flila-sciences-research-engineer-scientific-data-workflow-infrastructure"},{"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%2Flila-sciences-research-engineer-scientific-data-workflow-infrastructure"},{"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/lila-sciences-research-engineer-scientific-data-workflow-infrastructure\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flila-sciences-research-engineer-scientific-data-workflow-infrastructure"}]}