Senior Machine Learning Engineer

🔥 2 minutes ago

🇺🇸 United States – Remote

💵 $156.2k - $211.3k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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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

• Build scalable AI proofs-of-concept designed to demonstrate a clear path from prototype to enterprise-scale solution • Partner with product managers, business stakeholders, platform teams, and AI software engineers to translate ambiguous business needs into practical AI solutions with measurable value • Design and implement modern AI systems using LLMs, agentic workflows, retrieval augmented generation, data pipelines, APIs, cloud-native services, and enterprise platforms • Assess technical risk, data readiness, integration complexity, user experience, security considerations, performance, cost, and business impact • Create reusable technical assets including reference architectures, reusable components, documentation, decision records, and handoff materials • Model strong engineering practices, mentor others, improve delivery patterns, and bring ownership and accountability to uncertain, fast-moving work

🎯 Requirements

• Doctorate degree OR Master’s degree and 2 years of relevant experience OR Bachelor’s degree and 4 years of relevant experience OR Associate’s degree and 8 years of relevant experience OR High school diploma / GED and 10 years of relevant experience • 4-6 years of relevant experience in AI engineering, machine learning engineering, software engineering, data engineering, cloud engineering, or related technical roles • Experience building full-stack AI-powered applications designed for scalability, security, evaluation, and maintainability • Strong understanding of LLMs, retrieval-augmented generation, embeddings, vector databases, agentic workflows, tool use, orchestration frameworks, and AI evaluation methods • Experience defining and applying AI solution evaluation methods • Ability to translate ambiguous business problems into practical technical approaches and validate feasibility, value, risks, and path to scale • Experience with AWS Cloud, data pipelines, integration architecture, containers, CI/CD, observability, and secure development practices • Strong software engineering foundation, preferably with Python, testing, version control, modular design, documentation, and maintainable code • Ability to responsibly use AI tools to improve engineering productivity and automate repetitive tasks • Excellent communication, ownership, and cross-functional leadership skills • Ability to partner effectively with product managers, business stakeholders, platform teams, and AI and software engineers • Sponsorship for this role is not guaranteed

🏖️ Benefits

• A comprehensive employee benefits package • 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 support