{"id":138875,"url":"https://alion.io/job/amgen-machine-learning-engineer-ai-studio","title":"Machine Learning Engineer, AI Studio","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":437,"ghost_share":0.002,"stale_share":0.831,"repost_share":0.007,"time_to_fill_p50_days":27,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"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":["Jacksonville, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":129654,"max":175415,"currency":"USD","period":"year","gross":null,"usd_annual":175415},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"Google AI Studio","optional":false},{"name":"Hybrid Search","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Reranking","optional":false},{"name":"SQL","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Amazon SageMaker","optional":true},{"name":"AutoGen","optional":true},{"name":"AWS","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"Computer Vision","optional":true},{"name":"CrewAI","optional":true},{"name":"Databricks","optional":true},{"name":"GitHub Actions","optional":true},{"name":"GraphRAG","optional":true},{"name":"Hugging Face","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"Kubeflow","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"LlamaIndex","optional":true},{"name":"MLFlow","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"Platform Engineering","optional":true},{"name":"PyTorch","optional":true},{"name":"Scikit-learn","optional":true},{"name":"Semantic Kernel","optional":true},{"name":"Spark","optional":true},{"name":"TensorFlow","optional":true},{"name":"XGBoost","optional":true}],"status":"live","first_seen_at":"2026-08-24T00:00:00Z","employer_posted_date":"2026-08-24","last_verified_at":"2026-10-17T08:58:40Z","board_verified":true,"closed_at":null,"days_open":54,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":54},"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 lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.\nMachine Learning Engineer, AI Studio\nWhat you will do\nThe Machine Learning Engineer offers a unique opportunity to join a fun, innovative engineering team within the AI & Data Science (AI&D)- organization. We are the Applied AI team (AI Studio). AI Studio is Amgen’s enterprise engine for turning high-value business challenges into scalable AI products. We partner with key business partners across the company to identify the right opportunities, shape them into actionable use cases, and design, build, and launch AI products responsibly. Our work spans the full lifecycle from early discovery and rapid prototyping to production deployment, reuse across the enterprise, and measurable business impact. You will independently own defined production components within enterprise AI products and automation solutions.\nYour remit may include a model or inference service, data or knowledge pipeline, retrieval component, agent tool, evaluation module, API, workflow or monitoring capability. You will design, release, diagnose and support the component while connecting technical measures to user and workflow outcomes. Within Applied AI, AI Studio turns prioritized business demand into governed, reusable AI assets with accountable ownership and measurable value across software, data, automation, machine learning, Generative AI, RAG, bounded agents, evaluation, observability and lifecycle operations.\nKey Responsibilities\nDefine component boundaries, intended use, acceptance criteria, non-functional requirements, decision consequences, support expectations and technical estimates with product and architecture partners.\nDesign and implement maintainable Python, SQL, API, data, model, retrieval, agent-tool and workflow components with clear contracts, configuration, testing, error handling and documentation.\nApply EDA, feature engineering, supervised or unsupervised methods, baselines, cross-validation, leakage prevention, calibration, subgroup, threshold, explainability and error analysis where relevant.\nBuild GenAI, NLP, RAG and bounded agent components using structured output, embeddings, hybrid search, reranking, provenance, citations, permissions, approvals, retries and recoverable failure behaviour.\nEngineer batch or event-driven data, document, feature, embedding, label and evaluation pipelines with schema validation, lineage, provenance, access control and consistency checks.\nDefine representative evaluation for model quality, uncertainty, retrieval, grounding, citations, task success, tool correctness, safety, latency, cost and user impact.\nRelease and support components using cloud services, containers, CI/CD, versioning, monitoring, rollback, incident response and runbooks; lead diagnosis of moderately complex failures.\nApply security, privacy, Responsible AI, validation, auditability, human oversight and applicable GxP controls; contribute reusable assets and guide Associate engineers on familiar work.\nWhat we expect of you\nWe are all different, yet we all use our unique contributions to serve patients. The Machine Learning Engineer we seek is a professional with these qualifications.\nBasic Qualifications:\nMaster’s degree\nOR\nBachelor’s degree and 2 years of Computer Science, IT or related field experience\nOR\nAssociate’s degree and 6 years of Computer Science, IT or related field experience\nOR\nHigh school diploma / GED and 8 years of Computer Science, IT or related field experience\nPreferred Qualifications:\nProduction software and AI/ML system design: Python and SQL modules, APIs, background jobs, event flows, testing, performance, observability, source control and maintainable failure semantics. \nStatistics, modelling and experimentation: EDA, feature engineering, classification, regression, clustering, ensembles, cross-validation, leakage prevention, calibration, uncertainty and decision-aware error analysis. \nGenAI, RAG, knowledge and agents: Prompt and context management, structured output, chunking, embeddings, hybrid retrieval, reranking, citations, access-aware retrieval, tool schemas and human approval. \nData, knowledge and cloud-scale systems: Batch and event-driven pipelines, contracts, lineage, provenance, relational/document/graph/vector stores, APIs, containers, Spark or Databricks and cloud-native services. \nStrong hands-on proficiency in Python and SQL, with sound software-engineering and testing practices.\nStrong capability in at least one of classical ML, GenAI/RAG/agents or MLOps/platform engineering, with working knowledge of adjacent areas.\nAdvanced ML and deep learning: Experience with PyTorch, TensorFlow, Hugging Face, scikit-learn, XGBoost, PyMC, computer vision, NLP, GNNs, causal inference or uncertainty estimation.\nAdvanced GenAI and knowledge systems: Experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, hybrid retrieval, knowledge graphs, graph RAG or evidence verification.\nCloud, data and MLOps: Experience with AWS, Bedrock or SageMaker, Databricks, Spark, Kubernetes, infrastructure as code, MLflow, Airflow, Kubeflow or GitHub Actions.\nAgents and human-AI workflows: Familiarity with MCP-style integration, agent tracing, adversarial testing, durable workflows, permissions, human review, BI or process automation.\nRegulated enterprise delivery: Experience in healthcare, life sciences, GxP, validated systems or another regulated or high-impact environment.\nIndependent problem solving and sound component-level technical judgment.\nClear communication of assumptions, evidence, trade-offs, risks and support implications.\nStrong collaboration with business SMEs, product, architecture, software, data, platform, evaluation and control partners.\nOwnership, reliability and disciplined follow-through from design through production support.\nAbility to guide junior engineers and learn new tools through evidence-based experimentation.\nWhat you can expect of 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 anticipates accepting applications until August 31st, 2026; however, we may continue accepting applications beyond this date if we do not receive a sufficient number of candidates.\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.\n.Salary Range\n129,654.75USD -175,415.25 USD","description_format":"text","description_chars":9886,"description_truncated":false,"requirements":{"experience_years_min":null,"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":["Prescription Drugs","Biologics & Biosimilars","Immunology & Inflammation Therapeutics","Cardiometabolic Therapeutics"],"lifecycle":[{"event":"open","at":"2026-08-24T00:00:00Z"}],"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":"2026-10-15T11:24:14+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":107}],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.299,"p_room":0.28,"age_days":54,"expected_fill_days":27,"reasons":["conf:0","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":175415,"is_top_pay":false},"html_url":"https://alion.io/job/amgen-machine-learning-engineer-ai-studio","json_url":"https://alion.io/job/amgen-machine-learning-engineer-ai-studio.json","meta":{"generated_at":"2026-10-17T19:07:50Z","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":2298,"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":4775},"rest":"https://alion.io/mcp/rest/get_company?id=4775"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Famgen-machine-learning-engineer-ai-studio"},{"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%2Famgen-machine-learning-engineer-ai-studio"},{"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%2Famgen-machine-learning-engineer-ai-studio"},{"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/amgen-machine-learning-engineer-ai-studio\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Famgen-machine-learning-engineer-ai-studio"}]}