1 day ago
Remote, United States or Thousand Oaks, CA, USAStaff+
Base Salary
$187k - $254k/yr
Responsibilities
- Partner with business leaders and teams to identify AI opportunities, define problems, and establish measurable outcomes.
- Lead cross-functional teams in prioritizing AI initiatives, selecting technical approaches, and planning the path from proof of concept to enterprise adoption.
- Architect and build AI proofs of concept using LLMs, agentic workflows, retrieval-augmented generation, data pipelines, APIs, cloud-native services, and enterprise platforms.
- Evaluate feasibility and business value, including data readiness, integration, user experience, security, compliance, performance, cost, and operational needs.
- Define scalable architectures and create reusable components, documentation, decision records, and handoff materials.
- Provide technical leadership and mentorship while guiding architecture, delivery practices, ownership, and accountability.
Requirements
- Doctorate degree and 2 years of Machine Learning Engineer experience; or Master's degree and 6 years; or Bachelor's degree and 8 years; or Associate's degree and 10 years; or high school diploma/GED and 12 years.
- Substantial machine learning and software engineering experience, including senior technical ownership of applications beyond the prototype or pilot stage.
- Deep full-stack development skills, including Python, APIs, application back ends, user interfaces, data integration, and modern software design.
- Hands-on cloud platform and infrastructure-as-code experience, including AWS and Terraform or similar tools.
- Practical knowledge of generative AI and machine learning application design, including model selection, evaluation, inference, and implementation trade-offs.
- Experience with enterprise architecture, integration patterns, access controls, sensitive data handling, reliability, performance, and maintainability.
- Experience evaluating AI applications using quantitative and qualitative evidence covering quality, user experience, safety, latency, and cost.
- Strong software engineering practices, including automated testing, version control, modular design, code review, documentation, and AI development tools.
- Demonstrated technical leadership through architecture decisions, mentorship, and collaboration across business, product, engineering, security, and platform teams.
- At least 2 years leading teams, projects, or programs, or directing resource allocation.
- Strong written and verbal communication skills, including presenting technical options and trade-offs to technical and business audiences.
Benefits
- Comprehensive benefits package including retirement and savings contributions, medical, dental, vision, life and disability insurance, and flexible spending accounts.
- Eligibility for a discretionary annual bonus program.
- Stock-based long-term incentives.
- Award-winning time-off plans.
- Flexible work models where possible; the role is listed as remote.
- Amgen provides career development opportunities and work/life balance support.
Categories
About Amgen
Amgen is a public biotechnology company that discovers, develops, manufactures, and sells biologic and biosimilar therapeutics for patients with serious diseases. Its portfolio and pipeline span oncology, cardiovascular disease, osteoporosis, inflammation, and rare diseases, marketed globally through direct sales and partnerships. Founded in 1980 and headquartered in Thousand Oaks, California (NASDAQ: AMGN), Amgen is a component of the Dow Jones Industrial Average and completed the acquisition of Horizon Therapeutics in 2023.