{"id":67129,"url":"https://alion.io/job/unlearn-applied-machine-learning-scientist","title":"Applied Machine Learning Scientist","company":{"id":22658,"name":"Unlearn","domain":"unlearn.ai","url":"https://alion.io/company/unlearn","size_band":"51-200","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":"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":140000,"max":165000,"currency":"USD","period":"year","gross":null,"usd_annual":165000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Digital Twin","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"AWS","optional":true},{"name":"LLM","optional":true},{"name":"NLP","optional":true},{"name":"Reinforcement Learning","optional":true}],"status":"live","first_seen_at":"2026-08-17T21:41:42Z","employer_posted_date":"2026-08-17","last_verified_at":"2026-10-17T21:16:44Z","board_verified":true,"closed_at":null,"days_open":61,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":61},"description":"Our Mission and Vision\nUnlearn exists to transform clinical development by making every trial smarter. We harness data, AI, and digital twins to enable faster, more robust studies that bring life-saving treatments to patients faster. This mission drives everything we do as we partner with biopharmaceutical companies to redesign how clinical trials are planned, run, and analyzed.\nWe are defining the future of clinical development with unmatched scientific credibility, replacing uncertainty with AI-powered precision so decisions are clearer and trials are stronger. We don’t just disrupt the pharmaceutical industry, we create lasting change.\nWe believe AI will define the future of medicine, and we are committed to building that future responsibly, rigorously, and in close collaboration with our partners in clinical development.\nAbout Our Team\nWe come from a variety of backgrounds ranging from machine learning to marketing-but regardless of where we come from, Unlearners share some common traits:\nUnlearners are ambitious; we aren’t intimidated by big, challenging goals.\n\nUnlearners are disciplined experimenters; we break down our big goals into smaller chunks and meet as often as necessary to track our velocity and iterate quickly.\n\nUnlearners are gritty; we never give up, setbacks just make us try harder.\n\nUnlearners are receptive to new ideas; in fact, we hate being stuck with the status quo\n\nUnlearners are storytellers; sharing information with each other and with the world is super important, too important to be boring. And, last but not least,\n\nUnlearners are team-oriented; we put the mission first, the company second, the team third, and individuals last.\n\nHeadquartered in San Francisco, Unlearn was founded in 2017 by a team of world-class machine learning scientists. We have raised venture capital from top tier investors such as Altimeter, Insight Partners, Radical Ventures, 8VC, DCVC, and DCVC Bio, and completed our $50 million Series C in January 2024.\nIf our purpose and culture resonate with you, we invite you to apply.\nApplied ML Scientists lead Unlearn’s work to develop state-of-the-art ML approaches for generating Digital Twins - probabilistic models of a patient’s future health outcomes given knowledge of their current and past medical history. Applied ML Scientists at Unlearn come from a wide range of disciplines, and have honed their ML expertise through their previous experience conducting novel and impactful research at top academic and industrial labs or their previous work delivering ML and data-science products in highly ambiguous and challenging commercial settings. Successful Applied ML Scientists at Unlearn are entrepreneurial in their approach; feeling a strong sense of end-to-end ownership of their mission, they investigate broadly to find the right tools and techniques to help their teams succeed. They are also highly determined individuals, powering through problems with cleverness and resolve.\nResponsibilities include:\nDesign and implement machine learning models to characterize and predict disease progression.\n\nApply and fine-tune proprietary architectures to real-world clinical data.\n\nClearly communicate technical findings and results to internal and external stakeholders.\n\nStay up to date with developments in the ML field to inform Unlearn’s modeling work.\n\nRepresent Unlearn to the broader scientific community.\n\nMinimum requirements:\nB.S. in computer science or engineering, physics, mathematics, or a related field.\n\n2+ years of experience developing machine learning models and adapting them to solve real-world problems.\n\nDemonstrable competency in the fundamentals of software engineering.\n\nFluency in the Python machine learning and data science ecosystem.\n\nEvidence of successful execution of ML projects in an academic or industrial setting.\n\nA track record of intellectual curiosity - e.g., exploring new techniques, tools, or ideas independently.\n\nBonus points for:\nContributions to well-known open-source ML tools or frameworks.\n\nPrevious experience with unsupervised ML, EBM, NLP, LLM, optimization theory, or reinforcement learning.\n\nPrior experience working with healthcare or clinical machine learning applications.\n\nFamiliarity with AWS cloud computing services.\n\nBenefits & Perks\nThe following benefits and perks are for full time roles only. \nMeaningful equity participation\n\n100% company-covered medical, dental, & vision insurance plans\n\n401k plan with matching\n\nFlexible PTO plus company holidays\n\nAnnual company-wide break December 24 through January 1\n\nCommuter benefits\n\nPaid Parental Leave\n\nUnlearn is an equal opportunity employer.\nAt Unlearn, we are committed to building a diverse and inclusive workplace, because inclusion and diversity are essential to achieving our mission. If you’re excited about this role, and your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply nevertheless.","description_format":"text","description_chars":4967,"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":["401k plan","Equity","Parental leave","Vision insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Clinical Trial Services (CRO)","Drug Discovery AI"],"lifecycle":[{"event":"open","at":"2026-08-17T21:41:42Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 5","filings_12m":5,"filings_prev_12m":3,"green_card_filings_12m":0,"median_offered_wage_usd":157500,"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)"],"filings_for_role_12m":2}],"liveness":{"score":13,"band":"cold","label":"Long shot","p_open":1,"p_active":0.446,"p_room":0.28,"age_days":60,"expected_fill_days":28,"reasons":["conf:0","win:tail","crowd:junior"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":165000,"is_top_pay":false},"html_url":"https://alion.io/job/unlearn-applied-machine-learning-scientist","json_url":"https://alion.io/job/unlearn-applied-machine-learning-scientist.json","meta":{"generated_at":"2026-10-17T22:28:03Z","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":413,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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":22658},"rest":"https://alion.io/mcp/rest/get_company?id=22658"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Funlearn-applied-machine-learning-scientist"},{"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%2Funlearn-applied-machine-learning-scientist"},{"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%2Funlearn-applied-machine-learning-scientist"},{"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/unlearn-applied-machine-learning-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Funlearn-applied-machine-learning-scientist"}]}