{"id":1565839,"url":"https://alion.io/job/amgen-senior-machine-learning-engineer-3","title":"Senior Machine Learning Engineer","company":{"id":4775,"name":"Amgen","domain":"amgen.com","url":"https://alion.io/company/amgen","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":79,"open_postings":349,"ghost_share":0,"stale_share":0.84,"repost_share":0.003,"time_to_fill_p50_days":28,"computed_at":"2026-10-04T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Thousand Oaks, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":168000,"max_usd":299000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":222},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Machine Learning","optional":false},{"name":"RAG","optional":false},{"name":"AWS","optional":true},{"name":"CI/CD","optional":true},{"name":"Embeddings","optional":true},{"name":"Function Calling","optional":true},{"name":"Hallucination","optional":true},{"name":"Python","optional":true},{"name":"Tool Use","optional":true}],"status":"live","first_seen_at":"2026-09-29T00:00:00Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-05T01:51:36Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Career Category\nInformation SystemsJob Description\nJoin Amgen’s Mission of Serving Patients\nAt Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission - to serve patients living with serious illnesses - drives all that we do.\nSince 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas - Oncology, Inflammation, General Medicine, and Rare Disease - we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller, happier lives.\nOur award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lie within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.\nSenior Machine Learning Engineer\nWhat you will do\nLet’s do this. Let’s change the world. As part of the Artificial Intelligence & Data organization, the AI & Data Innovation Lab is a center for exploration and innovation, focused on integrating and accelerating new technologies and methods that deliver measurable value and competitive advantage. We move fast to prove what is possible, de-risk what is uncertain, and create the technical foundation that allows Amgen to scale the right AI solutions responsibly. Join us!\nWe are seeking a Senior Machine Learning Engineer to help build high-impact AI proofs-of-concept that are credible, scalable, secure, and designed with a clear path to production. This role sits at the intersection of AI engineering, software engineering, cloud and data architecture, product thinking, and business partnership. The ideal candidate is a hands-on builder who can operate through ambiguity, partner closely with product managers and business stakeholders, make pragmatic technical decisions, and raise the engineering bar for others. They should bring strong ownership and accountability, while understanding that success is not only shipping code, but also creating reusable patterns, validated architectures, and clear evidence that helps Amgen decide what to scale.\nKey Responsibilities:\nBuild scalable AI proof-of-concepts that are designed to demonstrate a clear path from prototype to enterprise-scale solution.\nPartner with product managers, business stakeholders, platform teams, and AI software engineers to translate ambiguous business needs into practical AI solutions with measurable value.\nDesign and implement modern AI systems using LLMs, agentic workflows, retrieval augmented generation, data pipelines, APIs, cloud-native services, and enterprise platforms.\nRapidly validate feasibility and value by assessing technical risk, data readiness, integration complexity, user experience, security considerations, performance, cost, and business impact.\nCreate reusable technical assets such as reference architectures, reusable components, documentation, decision records, and handoff materials that enable product, platform, or delivery teams to scale successful POCs.\nRaise the technical bar for the team by modeling strong engineering practices, mentoring others, improving delivery patterns, and bringing clear ownership and accountability to uncertain, fast-moving work.\nWhat we expect of you\nWe are all different, yet we all use our unique contributions to serve patients. The professional we seek is an individual with these qualifications.\nBasic Qualifications:\nDoctorate degree\nOR\nMaster’s degree and 2 years of relevant experience\nOR\nBachelor’s degree and 4 years of relevant experience\nOR\nAssociate’s degree and 8 years of relevant experience\nOR\nHigh school diploma / GED and 10 years of relevant experience\nPreferred Qualifications:\n4-6 years of relevant experience in AI engineering, machine learning engineering, software engineering, data engineering, cloud engineering, or related technical roles.\nDemonstrated experience building full-stack AI-powered applications that move beyond experimentation and are designed with scalability, security, evaluation, and maintainability in mind.\nStrong understanding of modern AI application architecture, including LLMs, retrieval-augmented generation, embeddings, vector databases, agentic workflows, tool use, orchestration frameworks, and AI evaluation methods.\nExperience defining and applying evaluation methods for AI solutions, including accuracy, reliability, hallucination risk, latency, usability, safety, cost, and fitness for intended use.\nAbility to translate ambiguous business problems into practical technical approaches, make sound tradeoffs, and rapidly validate feasibility, value, risks, and path to scale.\nExperience with AWS Cloud, data pipelines, integration architecture, containers, CI/CD, observability, and secure development practices.\nStrong software engineering foundation, preferably with Python and modern development practices, including testing, version control, modular design, documentation, and maintainable code.\nDemonstrated ability to responsibly use AI tools to improve engineering productivity, explore technical solutions, automate repetitive tasks, and enhance the delivery of machine learning or software products.\nExcellent communication, ownership, and cross-functional leadership skills, with the ability to partner effectively with product managers, business stakeholders, platform teams, and AI and software engineers.\nWhat you can expect from us\nAs we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.\nThe expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.\nIn addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include:\nA comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts\nA discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan\nStock-based long-term incentives\nAward-winning time-off plans\nFlexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies.\nApply now and make a lasting impact with the Amgen team.\ncareers.amgen.com\nIn any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.\nApplication deadline\nAmgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.\nSponsorship\nSponsorship for this role is not guaranteed.\nAs an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.\nAmgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.\nWe will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.\n.Salary Range\n156,190.05USD -211,315.95 USD","description_format":"text","description_chars":8802,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"high_school","optional":false},"security_clearance":false,"languages":[]},"benefits":["Flexible schedule","Retirement plans"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[{"name":"Puerto Rico","iso":"PR"}],"relocation_offered":false,"industries":["Biotechnology","Health Care","Immunology & Inflammation Therapeutics","Cardiometabolic Therapeutics"],"lifecycle":[{"event":"open","at":"2026-10-01T06:01:42Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 372 · green card filings: 113","filings_12m":372,"filings_prev_12m":465,"green_card_filings_12m":113,"median_offered_wage_usd":136675,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+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":107}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.63,"p_room":1,"age_days":5,"expected_fill_days":28,"reasons":["conf:1","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-04T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/amgen-senior-machine-learning-engineer-3","json_url":"https://alion.io/job/amgen-senior-machine-learning-engineer-3.json","meta":{"generated_at":"2026-10-05T02:23:05Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3155,"day_limit":5000,"remaining_today":1845,"minute_limit":60,"resets_at":"2026-10-06T00:00:00Z"}}}