{"id":933057,"url":"https://alion.io/job/adaptive-biotech-principal-machine-learning-scientist","title":"Senior or Principal Machine Learning Scientist","company":{"id":668984,"name":"Adaptive Biotech","domain":"adaptivebiotech.com","url":"https://alion.io/company/adaptivebiotech","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":144600,"max":217000,"currency":"USD","period":"year","gross":null,"usd_annual":217000},"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":true,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false}],"status":"live","first_seen_at":"2026-03-17T15:15:37Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-11-06T10:57:13Z","board_verified":true,"closed_at":null,"days_open":233,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":233},"description":"At Adaptive, we’re Powering the Age of Immune Medicine. Our goal is to harness the power of the adaptive immune system to transform the way diseases are diagnosed and treated.\nAs an Adapter, you’ll have the opportunity to make a difference in people’s lives. With Adaptive, you’ll create a career highlightthrough collaboration with bright, curious colleagues working at the apex of innovation and application.\nIt’s time for your next chapter. Discover your story with Adaptive.\nSenior or Principal Machine Learning Scientist\nPosition Overview\nAdaptive Biotechnologies is seeking a Senior or Principal Machine Learning Scientist to join a team developing deep learning models for TCR-pMHC specificity prediction. This role focuses on predicting interactions between T cell receptors and peptide-MHC complexes by integrating sequence, structural, and large-scale biological data.\nIn this role, you will work closely with computational scientists, immunologists, translational scientists, and machine learning engineers to build models that support Adaptive’s diagnostic and therapeutic initiatives. The work draws on a large and growing proprietary immune receptor dataset purpose-built for this machine learning problem, as well as shared GPU infrastructure and a close feedback loop between model development and experimental data generation.\nAt the Senior level, the role emphasizes independent ownership of major modeling workstreams, rigorous technical execution, and strong cross-functional collaboration.\nAt the Principal level, the role expands to broader technical leadership, modeling and data strategy, roadmap influence, and long-term direction setting across teams.\nKey Responsibilities and Essential Functions\nDesign, implement, train, and evaluate deep learning models for TCR-pMHC specificity prediction.\nIntegrate sequence, structural, and large-scale biological data into principled modeling approaches.\nAdapt advances in protein structure prediction, protein-protein interaction modeling, protein language models, representation learning, and related areas to immune receptor prediction.\nDevelop rigorous benchmarking and evaluation strategies to assess model performance, generalization, and practical utility.\nTranslate biological principles of T cell recognition into modeling decisions.\nUse model results to inform experimental data generation and identify opportunities to improve model performance.\nPartner with computational biology, immunology, translational, and engineering teams to ensure models are robust, reproducible, scalable, and aligned with product goals.\nCommunicate modeling approaches, results, and limitations to scientific and technical audiences.\nContribute to publications, presentations, intellectual property, and internal technical decision-making.\nPerform all other duties as assigned.\nAdditional Expectations at the Principal Level\nDefine modeling and data strategy across multiple workstreams or programs.\nEvaluate emerging machine learning advances and determine how they should shape Adaptive’s modeling roadmap.\nSet long-term technical direction for machine learning approaches in immune receptor specificity prediction.\nInfluence organization-wide standards for model evaluation, benchmarking, reproducibility, and scientific rigor.\nCommunicate complex modeling insights to scientific leadership, executives, and external partners.\nMentor and influence scientists and engineers through technical leadership and strategic judgment.\nPosition Requirements\nRequired Qualifications for Both Levels\nPhD in a quantitative discipline such as Machine Learning, Computational Biology, Computer Science, or a related field, or an equivalent combination of education and experience.\nProgressive experience developing and deploying deep learning methods for scientific, biological, or similarly complex real-world problems.\nStrong hands-on experience with Python and modern machine learning tooling; PyTorch preferred.\nStrong experience with deep learning architecture design and implementation.\nExperience working with large datasets and high-performance computing environments.\nAbility to independently define, scope, and execute complex technical research problems.\nStrong written and verbal communication skills, including the ability to present technical material to diverse audiences.\nDemonstrated ability to collaborate effectively in cross-functional, multidisciplinary teams.\nMotivation to see models transition from research into clinical and commercial application.\nLevel-Specific Requirements\nSenior Machine Learning Scientist\nTypically requires PhD plus 5 years of progressive experience applying machine learning to real-world scientific or biological problems, or an equivalent combination of education and experience.\nStrong experience with protein structure prediction or analysis.\nAbility to own substantial modeling workstreams from design through evaluation and iteration.\nAbility to provide technical recommendations that shape team-level modeling plans and priorities.\nPrincipal Machine Learning Scientist\nTypically requires PhD plus 12 years of progressive experience in machine learning, applied statistics, or a related field in a life sciences, biotech, or comparable environment, or an equivalent combination of education and experience.\nEquivalent experience may include:\nMaster’s degree plus 15 years of progressive experience.\nBachelor’s degree plus 17 years of progressive experience.\nDemonstrated track record of innovating and implementing novel machine learning solutions to biological problems, as shown through publications, conference papers, patents, or delivered products.\nDeep expertise in Python and modern machine learning tooling; PyTorch preferred.\nExperience with version control and machine learning experiment tracking.\nExceptional depth in deep learning architecture design and implementation.\nComfort operating at the frontier of both machine learning and immunology.\nStrategic judgment and demonstrated ability to influence technical direction across teams.\nPreferred Qualifications\nExperience in one or more of the following areas is desired:\nProtein structure prediction or analysis.\nProtein-protein interaction modeling.\nProtein design or generative modeling.\nProtein language models or large-scale foundation models.\nMolecular dynamics or free energy perturbation methods.\nLarge-scale biological datasets.\nImmunology and immune receptor specificity, including antibody or TCR specificity.\nPublications, conference papers, patents, or delivered products demonstrating applied machine learning impact in biological problems.\nWorking Conditions\nNo special working conditions required.\nCompensation\nSenior Machine Learning Scientist salary range: $144,600 - $217,000\n Principal Machine Learning Scientist salary range: $183,400 - $275,000\nOther compensation elements include:\nEquity grant\nBonus eligibility\nALERT:Malicious groups posing as Adaptive employees have recently used fraudulent email aliases to extend employment offers, provide fake documents, and request sensitive personal and financial information. Legitimate Adaptive employment opportunities are initiated through our careers page and extended after multiple interviews with verified employees. Adaptive does not ask new hires to purchase anything out-of-pocket, including home office supplies and equipment. \nInterested in this position, but don’t meet all the requirements? Adaptive is committed to building diverse, equitable, and inclusive teams across our organization. Please consider applying even if your experience doesn’t match all the qualifications; you may be the exact candidate we’re searching for!\nAdaptive is not currently sponsoring candidates requiring work authorization support for this position.\nAdaptive’s posted compensation information includes a base salary (or hourly rate) range and summary of other available total compensation. The base salary range represents a minimum-to-maximum salary (or hourly rate) available to candidates upon extension of offer. Base salary is thoughtfully considered upon offer and is determined through multiple evaluation checks throughout the interview process, including: a candidate’s ability to meet minimum qualifications (skills/experience/education), a candidate’s ability to thoughtfully address preferred qualifications, current market conditions, and internal pay equity. Listed base salary is exclusive of bonus, commission, equity, differential pay, benefits, and other incentives.\nAdaptive's benefits at-a-glance.\nAdaptive Biotechnologies is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability. Please refer the “Know Your Rights: Workplace Discrimination is Illegal” Poster for more information. If you’d like to view a copy of the company’s affirmative action plan or policy statement, please email .\nIf you have a disability and you believe you need a reasonable accommodation to search for a job opening or to submit an online application, please e-mail . This email is created exclusively to assist disabled job seekers whose disability prevents them from being able to apply online. Only messages left for this purpose will be returned. Messages left for other purposes, such as following up on an application or technical issues not related to a disability, will not receive a response.\nNOTE TO EMPLOYMENT AGENCIES: Adaptive Biotechnologies values our relationships with our Recruitment Partners and will only accept resumes from those partners who have active agreements with Adaptive. 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