CD&A - Principal Machine Learning Engineer

Career Category

Job Description

Join Amgens Mission of Serving Patients

At Amgen if you feel like youre part of something bigger its because you are. Our shared missionto serve patients living with serious illnessesdrives all that we do.

Since 1980 weve helped pioneer the world of biotech in our fight against the worlds toughest diseases. With our focus on four therapeutic areas Oncology Inflammation General Medicine and Rare Disease we reach millions of patients each year. As a member of the Amgen team youll 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 youll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

CD&A - Principal Machine Learning Engineer

What you will do

Lets do this. Lets change the this vital role you will help shape and scale the machine learning ecosystem that drives strategic insights for Amgens Commercial organization. You will be a key technical leader within a collaborative multi-functional team dedicated to delivering actionable recommendations using advanced machine learning and data science solutions.

As a Principal Machine Learning Engineer you will architect and implement robust scalable solutions using modern tools such as Databricks Spark AWS services GitLab CI/CD and more. You will drive architectural decisions set engineering best practices and play a critical role in supporting the teams data scientists (your primary partners) to bring models from concept to production. Your work will support end-to-end machine learning lifecycle management including DevOps/MLOps pipelines production-grade model deployment and monitoring data orchestration and cloud-native infrastructure. This is a hands-on leadership-oriented role that requires strategic vision technical depth and strong interpersonal communication skills to optimally engage both internal partners and external vendors.

Beyond your technical contributions your efforts will directly support Amgens mission to accelerate diagnosis and treatment for patients with rare diseases helping bring life-changing therapies to those who need them most.

Flexible Commuter role to the Deerfield IL office. You will work on-site a minimum of 2-3 days a week.

• Provide technical guidance to data scientists and leadership to junior engineers; lead new project initiatives drive standard processes through code reviews design scalable system architecture and foster internal knowledge-sharing
• Act as a key point of contact with external vendors (e.g. Databricks Neo4j AWS IQVIA Komodo Veeva) to manage escalations align on roadmap updates maintain real-time communication practices and know the latest with platform changes aligned to U.S. business operations
• Collaborate closely and communicate proactively with U.S.-based data scientists engineers IT cloud infrastructure data governance analytics and brand teams to deliver critical machine learning capabilities
• Architect and implement end-to-end MLOps pipelines (training deployment monitoring CI/CD lineage and rollback)
• Architect and implement end-to-end data pipelines (ingestion storage transformation validation orchestration and monitoring)
• Design and implement internal ML tooling shared libraries and utilities
• Build and maintain production ML pipelines using Spark Databricks MLflow and other analytics platforms
• Leverage and integrate cloud-native services (primarily in AWS and Databricks) to enable performant secure and cost-effective ML and data infrastructure
• Lead DevOps and GitOps practices across ML systems including but not limited to CI/CD automation environment provisioning and job orchestration
• Monitor and optimize the reliability and performance of data pipelines
• Drive adoption of standard processes for model versioning testing validation and deployment

What we expect of you

We are all different yet we all use our unique contributions to serve patients. The professional we seek is a collaborator with these qualifications.

Basic Qualifications:

Doctorate degree and 2 years of Software Engineering Data Engineering Data Science Machine Learning Statistics experience

OR

Masters degree and 4 years of Software Engineering Data Engineering Data Science Machine Learning Statistics experience

OR

Bachelors degree and 6 years of Software Engineering Data Engineering Data Science Machine Learning Statistics experience

OR

Associates degree and 10 years of Software Engineering Data Engineering Data Science Machine Learning Statistics experience

OR

High school diploma / GED and 12 years of Software Engineering Data Engineering Data Science Machine Learning Statistics experience

Preferred Qualifications:

• Advanced proficiency in Python SQL command line tools and distributed computing frameworks (e.g. Apache Spark)
• Hands-on experience with cloud ML and data infrastructure on AWS GCP or Azure
• Deep familiarity with MLOps and DevOps tools (CI/CD GitHub Actions/GitLab CI job orchestration)
• Demonstrated experience in platform design infrastructure-as-code and cost/performance optimization
• Excellent communication skills and experience collaborating with internal collaborators and external vendors
• Strong leadership and mentoring abilities; ability to influence standards and engineering culture across teams
• Strong ability to learn quickly and solve problems efficiently independently and in a systematic manner
• Actively stays up to date with emerging tools software development best practices and cloud platform features
• Familiarity with healthcare patient-level or claims data
• Experience working at a healthcare pharmaceutical or biotechnology company
• Exposure to regulated enterprise data environments
• Understanding of data privacy and compliance standards in U.S.-based healthcare settings
• Familiarity with NoSQL databases (MongoDB Neo4j Redis etc.)
• Familiarity with data visualization and dashboarding

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 well 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 including remote and hybrid work arrangements where possible

Apply now and make a lasting impact with the Amgen team.

In any materials you submit you may redact or remove age-identifying information such as age date of birth or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

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.

As an organization dedicated to improving the quality of life for people around the world Amgen fosters an inclusive environment of diverse 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 and will consider all qualified applicants for employment without regard to race color religion sex sexual orientation gender identity national origin protected veteran status disability status or any other basis protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process to perform essential job functions and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Salary Range