{"id":11789,"url":"https://alion.io/job/freenome-staff-machine-learning-scientist","title":"Staff Machine Learning Scientist","company":{"id":3761,"name":"Freenome","domain":"freenome.com","url":"https://alion.io/company/freenome","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":74,"open_postings":7,"ghost_share":0,"stale_share":0.857,"repost_share":0,"time_to_fill_p50_days":62,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":199675,"max":283500,"currency":"USD","period":"year","gross":null,"usd_annual":283500},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Contrastive Learning","optional":false},{"name":"Hugging Face","optional":false},{"name":"Interpretability","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"Self-Supervised Learning","optional":false},{"name":"TensorBoard","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true}],"status":"live","first_seen_at":"2026-07-16T20:05:13Z","employer_posted_date":"2026-08-06","last_verified_at":"2026-10-17T09:11:51Z","board_verified":true,"closed_at":null,"days_open":92,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":92},"description":"About this opportunity: \n\nAt Freenome, we are seeking a Staff Machine Learning Scientist to help grow the Machine Learning Science team, within the Computational Science department. The ideal candidate has a strong knowledge of artificial intelligence (AI), including machine learning (ML) fundamentals and extensive experience with deep learning (DL) methods, a track record of successfully using these methods to answer complex research questions, the ability to drive independent research and thrive in a highly cross-functional environment.\nThey will be responsible for the development of algorithms for early, blood-based detection tests for cancer. They will build on a foundation of ML/DL and statistical skills to develop models for identifying molecular signals from blood. They will also work with computational biologists, molecular biologists and ML engineers to design and drive research experiments, and will have a significant impact on the continued growth of an organization dedicated to changing the entire landscape of cancer.\nThe role reports to the Director, Machine Learning Science. This role can be a Hybrid role based in our Brisbane, California headquarters (2-3 days per week in office), or remote.\nWhat you’ll do:\nIndependently pursue cutting edge research in AI applied to biological problems (including cancer research, genomics, computational biology, immunology, etc.).\nBuild new models or fine-tune existing models to identify biological changes resulting from disease.\nBuild models that achieve high accuracy and that generalize robustly to new data.\nApply contemporary interpretability techniques to provide a deeper understanding of the underlying signal identified by the model, ideally suggesting potential biological mechanisms.\nWork closely with ML Engineering partners to ensure that Freenome’s computational infrastructure supports optimal model training and iteration.\nTake a mindful, transparent, and humane approach to your work.\nMust haves:\nPhD or equivalent research experience with an AI emphasis and in a relevant, quantitative field such as Computer Science, Statistics, Mathematics, Engineering, Computational Biology, or Bioinformatics.\n6+ years of postdoc or post-PhD industry experience achieving impactful results using relevant modeling techniques.\nExpertise demonstrated by research publications or industry achievements, in driving independent research in applied machine learning, deep learning and complex data modeling.\nPractical and theoretical understanding of fundamental ML models like generalized linear models, kernel machines, decision trees and forests, neural networks, boosting and model aggregation.\nPractical and theoretical understanding of DL models like large language models or other foundation models.\nExtensive experience with training paradigms like supervised learning, self-supervised learning, and contrastive learning.\nProficient in current state of the art in ML/DL approaches in different domains, with an ability to envision their applications in biological data.\nProficiency in a general-purpose programming language: Python, R, Java, C, C++, etc.\nProficiency in one or more ML frameworks such as; Pytorch, Tensorflow and Jax; and ML platforms like Hugging Face.\nExperience in ML analysis and developer tools like TensorBoard, MLflow or Weights & Biases.\nExcellent ability to communicate across disciplines, work collaboratively, and make progress in smaller steps via experimental iterations.\nProficient at productive cross-functional scientific communication and collaboration with software engineers and computational biologists.\nA passion for innovation and demonstrated initiative in tackling new areas of research.\nNice to haves:\nDeep domain-specific experience in computational biology, genomics, proteomics or a related field.\nExperience in building DL models for genomic data, with knowledge of state-of-the-art DNA foundation models.\nExperience in NGS data analysis and bioinformatic pipelines.\nExperience with containerized cloud computing environments such as Docker in GCP, Azure, or AWS.\nExperience in a production software engineering environment, including the use of automated regression testing, version control, and deployment systems.\nBenefits and additional information:\nThe US target range of ourbase salaryfor new hires is $199,675 - $283,500. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered. Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education. We invite you to check out our career page @ freenome.com/job-openings/ for additional company information. \nFreenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.\nApplicants have rights under Federal Employment Laws. \n Family & Medical Leave Act (FMLA)\n Equal Employment Opportunity (EEO)\n Employee Polygraph Protection Act (EPPA)\nCalifornia applicants please review the CCPA Notice at Collection here: \n California Consumer Privacy Act (CCPA)\n#LI-REMOTE","description_format":"text","description_chars":5592,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Bioinformatics","Molecular Diagnostics","Precision Medicine","Medical AI"],"lifecycle":[{"event":"open","at":"2026-07-16T20:05:13Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 7 · green card filings: 2","filings_12m":7,"filings_prev_12m":6,"green_card_filings_12m":2,"median_offered_wage_usd":136389,"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":32,"band":"fade","label":"Fading","p_open":1,"p_active":0.736,"p_room":0.44,"age_days":92,"expected_fill_days":62,"reasons":["conf:3","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":283500,"is_top_pay":false},"html_url":"https://alion.io/job/freenome-staff-machine-learning-scientist","json_url":"https://alion.io/job/freenome-staff-machine-learning-scientist.json","meta":{"generated_at":"2026-10-17T11:16:40Z","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":14694,"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":3761},"rest":"https://alion.io/mcp/rest/get_company?id=3761"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ffreenome-staff-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%2Ffreenome-staff-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%2Ffreenome-staff-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/freenome-staff-machine-learning-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ffreenome-staff-machine-learning-scientist"}]}