Amgen - Machine Learning Engineer

AI Engineer is needed in United States.

Client: Amgen

Location: Remote

Contract: undefined

Job Description

Join Amgen’s Mission of Serving Patients

At Amgen, our mission is to serve patients living with serious illnesses. Since 1980, we’ve been pioneering biotech innovations aimed at tackling tough diseases, focusing on areas such as Oncology, Inflammation, General Medicine, and Rare Disease. As a member of the Amgen team, you’ll have the opportunity to make a lasting impact on patients’ lives through research, manufacturing, and delivery of innovative medicines.

Machine Learning Engineer

In this vital role, you will contribute to the development of scalable machine learning platforms and workflows that enable scientists and researchers at Amgen to build, deploy, and manage AI/ML models, primarily supporting drug discovery and development. This position is ideal for engineers early in their ML engineering careers, with a focus on growing expertise in MLOps, cloud platforms, and applied AI in life sciences.

This role will be eligible for remote work in the US.

Requirements

Basic Qualifications:

Master’s degree OR Bachelor’s degree with 2 years of experience in Computer Science, IT, or engineering OR Associate’s degree with 6 years of experience OR High school diploma / GED with 8 years of experience in the relevant fields.

Required Skills:

• Software programming (Python, version control, test-driven development).
• Familiarity with cloud technologies (AWS preferred, Databricks).
• Hands-on experience with AI/ML model training and serving.

Preferred Qualifications:

• Experience with deployment and maintenance of AI/ML models in production.
• Substantial experience with cloud technologies and platforms, such as Databricks, AWS, or Azure.
• Experience with AI and MLOps frameworks and tools (MLflow, Kubeflow, Weights & Biases, Terraform, etc.).
• Experience with containerization (Docker, Kubernetes).
• Familiarity with distributed data processing (e.g., Spark).
• Familiarity with data science libraries (scikit-learn, TensorFlow, PyTorch, LangChain).

Soft Skills:

• Excellent critical-thinking and problem-solving skills.
• Strong communication and collaboration skills.
• Demonstrated presentation skills.
• Self-motivated, with independent ownership and leadership skills.

Additional Information

What You Can Expect of Us:

Amgen is committed to both your professional and personal growth. We provide competitive benefits, a collaborative culture, and support your journey every step of the way, which includes:

• A comprehensive employee benefits package, including a Retirement and Savings Plan, group medical, dental, life, and disability insurance.
• A discretionary annual bonus program.
• Stock-based long-term incentives.
• Award-winning time-off plans.
• Flexible work models where possible.

Application Deadline:

Amgen does not have a set application deadline for this position; applications will be accepted until a sufficient number or suitable candidate is selected.

Sponsorship:

Sponsorship for this role is not guaranteed.

Amgen fosters an inclusive environment and is an Equal Opportunity employer, considering all qualified applicants without bias. We provide reasonable accommodations for individuals with disabilities during the application process.