Principal Machine Learning Engineer - Remote

Amgen SA; Northern (KY); A distancia; USD 160.000 - 230.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive compensation

Flexible work options

Employee benefits

Descripción de la vacante

Amgen is seeking a Principal Machine Learning Engineer to lead AI initiatives from initial business ideas through validated PoCs with a clear path to enterprise adoption. You will partner with business leaders, product managers, and engineering teams to turn opportunities into well-defined problems and measurable AI solutions that deliver business impact.

As a senior technical leader, you will drive architectural decisions, address data readiness, security, and cost, and guide other engineers

Formación

• Doctorate, 2+ years ML engineer experience or
• Master's, 6+ years ML engineer experience
• Bachelor's, 8+ years ML engineer experience
• Associate's, 10+ years ML engineer experience
• High school diploma/GED, 12+ years ML engineer experience

Responsabilidades

• Lead AI initiatives from idea to PoC with enterprise path
• Shape problems, assess value and feasibility, design AI solutions
• Architect scalable PoCs with data readiness and integration
• Ensure security, cost, performance considerations early
• Create reusable components and documentation for handoff
• Provide technical leadership and mentorship across teams

Conocimientos

Python proficiency

Leadership experience

Communication skills

Cloud platforms

AI/ML design

Agile practices

Educación

Doctorate degree in a related field

Master's degree in a related field

Bachelor's degree in a related field

Associate's degree in a related field

High school diploma / GED with ML experience

Herramientas

AWS

Terraform

CI/CD

APIs

Docker

Kubernetes

Descripción del empleo

Join Amgen’s Mission of Serving Patients

At 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.

Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. Amgen is advancing a broad and deep pipeline and portfolio of medicines to treat heart disease, obesity and obesity-related conditions, rare diseases, inflammatory conditions and cancer. 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.

Our 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.

Principal Machine Learning Engineer - Remote

What you will do

Part of the Artificial Intelligence & Data organization, the AI & Data Innovation Lab is a center for exploration and innovation, focused on integrating and accelerating new technologies and methods that deliver measurable value and competitive advantage. We move fast to prove what is possible, de-risk what is uncertain, and create the technical foundation that allows Amgen to scale the right AI solutions responsibly. Join us!

We are seeking a Principal Machine Learning Engineer to lead AI initiatives from the earliest business idea through a validated proof of concept (PoC) with a clear path to enterprise adoption. In close partnership with business leaders, product managers, and technical teams, you will help shape promising ideas into well-defined problems, assess their value and feasibility, and design and build AI solutions that demonstrate measurable outcomes.

As a senior technical leader and hands-on engineer, you will make the architectural decisions that allow successful PoCs to scale. You will address data readiness, integration, evaluation, performance, and cost early, while applying Amgen’s enterprise security and compliance requirements and engineering best practices throughout development. You will establish reusable patterns, guide other engineers, and provide the evidence and technical direction needed for product and platform teams to take proven solutions forward.

• Engage directly with business leaders and teams to understand their workflows, challenges, and goals; identify AI opportunities and define the outcomes a successful solution must deliver.
• Lead cross-functional teams in turning ambiguous opportunities into well-scoped AI initiatives, making clear decisions about priorities, technical approach, measures of success, and the path from PoC to enterprise adoption.
• Architect and build AI PoCs using LLMs, agentic workflows, retrieval-augmented generation, data pipelines, APIs, cloud-native services, and enterprise platforms, with hands‑on ownership of the most consequential technical work.
• Evaluate feasibility and business value through practical experimentation, addressing data readiness, integration, user experience, security, compliance, performance, cost, and operational needs early enough to inform investment decisions.
• Define scalable architectures and create reusable components, documentation, decision records, and handoff materials so product and platform teams can develop successful PoCs into enterprise solutions.
• Set a high engineering standard through technical leadership and mentorship, guiding design decisions, strengthening delivery practices, and helping teams navigate uncertainty with clear ownership and accountability.

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The AI Engineer has good learning agility with these qualifications.

Basic Qualifications:

• 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.

Preferred Qualifications:

• 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 in 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 the 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 both technical and business audiences.

What you can expect of us

As 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.

The 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.

In 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:

• 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, and flexible spending accounts
• A discretionary annual bonus program, or for field sales representatives, a sales‑based incentive plan
• Stock‑based long‑term incentives
• Award‑winning time‑off plans
• Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies.

Application deadline

Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.

Sponsorship

Sponsorship for this role is not guaranteed.

As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of 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.

Amgen is an Equal Opportunity employer. We make all employment decisions without regard to race, color, religion, sex or any other characteristic protected by applicable law.

We provide reasonable accommodations to applicants and employees with disabilities, consistent with legal requirements. Please contact us to request accommodation.