{"id":177667,"url":"https://alion.io/job/lila-senior-software-engineer-ml-research","title":"Software Engineer, AI Platform","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":48,"ghost_share":0,"stale_share":0.25,"repost_share":0,"time_to_fill_p50_days":70,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","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"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":148000,"max":210000,"currency":"USD","period":"year","gross":null,"usd_annual":210000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ArgoCD","optional":false},{"name":"CI/CD","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitOps","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Ray","optional":false},{"name":"Grafana","optional":true},{"name":"Prometheus","optional":true}],"status":"live","first_seen_at":"2025-10-06T18:06:35Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-10-18T08:47:38Z","board_verified":true,"closed_at":null,"days_open":376,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":376},"description":"Your Impact at LILA\nWe’re hiring a Software Engineer to team with our Machine Learning Engineers and Researchers to build software that powers Lila’s ML workflows and research tooling. You will be on a team of software engineers that work alongside machine learning experts to develop, support, and maintain Lila’s ML libraries and tools.\nWhat You’ll Be Building\nDesign and build high-performance, secure, and well-documented Machine Learning libraries that implement the algorithms designed by machine learning researchers and engineers.\nCI/CD pipelines and integration tests for ML workflows.\nArchitect repository designs to follow consistent standards.\nSupport debugging, logging, and maintenance for Ray-based compute environments.\nData ingestion pipelines linking lab data to ML teams.\nWhat You’ll Need to Succeed\nMinimum of 8 years of experience writing software in a commercial setting in Go or Python.\nExperience implementing scalable software solutions.\nExperience with MLOps systems, GitOps (ArgoCD, Github Actions)\nFamiliarity with orchestration frameworks (Ray, Argo, Airflow).\nProficiency in Containerization, Kubernetes and infrastructure-as-code tools.\nAcute listening skills and patience to deeply understand complex problems and algorithms.\nExcellent problem-solving skills and team-first mentality.\nEnergetic self-starter and independent thinker with strong attention to detail.\nEager to work with highly skilled and dynamic teams in a fast-paced, entrepreneurial, and technical setting.\nBonus Points For\nProficiency with monitoring and logging tools (e.g., Prometheus, Grafana)\nResearch engineering or scientific software experience.\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—$210,000 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. 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