Principal Machine Learning Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $187.4k - $253.5k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

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Amgen

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1980

🏥 Healthcare

🧬 Biotechnology

💊 Pharmaceuticals

💰 $28.5G Post-IPO Debt on 2022-12

Healthcare • Biotechnology • Pharmaceuticals

Amgen is a global leader in biotechnology, focusing on the development and commercialization of innovative medicines made from living cells. The company aims to treat serious illnesses, often targeting diseases with limited therapeutic options. Amgen emphasizes scientific innovation and is committed to ethical research, patient safety, and environmental sustainability. It actively engages in clinical trials and is known for its contributions to the fields of cancer treatment and obesity management among others.

📋 Description

• Engage directly with business leaders and teams to understand workflows, challenges, and goals • Identify AI opportunities and define successful solution outcomes • Lead cross-functional teams in turning ambiguous opportunities into well-scoped AI initiatives • Make decisions about priorities, technical approach, success measures, and 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 • Own consequential technical work hands-on • Evaluate feasibility and business value through practical experimentation • Address 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 • Guide design decisions, strengthen delivery practices, and help teams navigate uncertainty with clear ownership and accountability

🎯 Requirements

• Doctorate degree and 2 years of Machine Learning Engineer experience; or Master's degree and 6 years of Machine Learning Engineer experience; or Bachelor's degree and 8 years of Machine Learning Engineer experience; or Associate's degree and 10 years of Machine Learning Engineer experience; or High school diploma / GED and 12 years of Machine Learning Engineer experience • Substantial experience in machine learning and software engineering, including senior technical ownership of applications that progressed beyond a prototype or pilot • Deep full-stack development skills, including Python proficiency and experience developing APIs, application back ends, user interfaces, data integration, and modern software design practices • Hands-on experience with cloud platforms, such as AWS, and DevOps practices including Terraform or similar infrastructure as code, containers, CI/CD, automated deployment, and observability • Strong practical knowledge of generative AI and machine learning application design, including model selection, evaluation, inference, and trade-offs among managed services, open-source tools, and custom implementations • Experience with enterprise architecture and integration patterns, including access controls, secure handling of sensitive data, reliability, performance, and maintainability • Experience establishing evaluation approaches for AI applications using quantitative and qualitative evidence to assess solution quality, user experience, safety, latency, and cost • Strong software engineering discipline, including automated testing, version control, modular design, code review, documentation, and effective use of AI development tools • Demonstrated technical leadership through architecture decisions, mentorship, and collaboration across business, product, engineering, security, and platform teams • At least 2 years of experience directly leading teams, projects, or programs, or directing the allocation of resources • Clear written and verbal communication skills, with experience presenting technical options and trade-offs to technical and business audiences

🏖️ Benefits

• Comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions • Group medical, dental and vision coverage • Life and disability insurance • Flexible spending accounts • Discretionary annual bonus program • Stock-based long-term incentives • Award-winning time-off plans • Flexible work models where possible • Career development opportunities • Financial plans with opportunities to save towards retirement or other goals • Work/life balance