Senior Machine Learning Engineer

🔥 19 hours 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.

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Amgen

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1980

🧬 Biotechnology

💊 Pharmaceuticals

🔬 Science

💰 $28.5G Post-IPO Debt on 2022-12

Biotechnology • Pharmaceuticals • Science

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 proof-of-concepts that are 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 • Rapidly validate feasibility and value by assessing technical risk, data readiness, integration complexity, user experience, security considerations, performance, cost, and business impact • Create 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 • Raise 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.

🎯 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 • Demonstrated experience building full-stack AI-powered applications that move beyond experimentation and are designed with scalability, security, evaluation, and maintainability in mind • Strong understanding of modern AI application architecture, including LLMs, retrieval-augmented generation, embeddings, vector databases, agentic workflows, tool use, orchestration frameworks, and AI evaluation methods • Experience defining and applying evaluation methods for AI solutions, including accuracy, reliability, hallucination risk, latency, usability, safety, cost, and fitness for intended use • Ability to translate ambiguous business problems into practical technical approaches, make sound tradeoffs, and rapidly 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 and modern development practices, including testing, version control, modular design, documentation, and maintainable code • Demonstrated 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 • Excellent 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.

🏖️ Benefits

• A 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 • A discretionary annual bonus program • Stock-based long-term incentives • Award-winning time-off plans • Flexible work models where possible.