Senior Machine Learning Engineer

What you will do

Let’s do this. Let’s change the world. In this vital role, you will contribute to the development of scalable machine learning platforms and workflows that enable scientists and researchers across Amgen to build, deploy, and manage AI/ML models. You will work closely with experienced engineers, data scientists, and domain experts to productionize machine learning solutions primarily in support of drug discovery and development.

This is an ideal role for engineers early in their ML or software engineering careers who want to grow their expertise in MLOps, cloud platforms, and applied AI in life sciences. The ideal candidate has background in software engineering or computer science, has experience with commercial-grade, high reliability software and ML systems, and is passionate about the scientific and engineering aspects of designing new drugs.

This role is eligible for remote in the US.

Roles & Responsibilities:

• Deliver AI and ML-enabled applications and platforms, with deployed models ranging from classical ML models to natural language processing, protein language models, and large language models.
• Contribute to the development and maintenance of ML platform capabilities, including:
  • Data pipelines and feature engineering workflows
  • Model training, evaluation, and deployment pipelines
  • Experiment tracking and model registry systems
  • Model performance evaluations and monitoring
• Partner in implementation of AI and ML Ops best practices, including CI/CD, cloud infra as code, monitoring, traceability and reproducibility.
• Collaborate with cross-functional teams to transition standards and outcomes from experimentation to production-grade enterprise solutions.
• Build and maintain scalable and efficient, productionized MLOps solutions on cloud platforms.
• Develop and deliver training content and knowledge articles to educate resident scientists on model lifecycle management best practices.

What we expect of you

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

Basic Qualifications:

Doctorate degree

OR

Master’s degree and 2 years of relevant experience in Computer Science, IT, or related field

OR

Bachelor’s degree and 4 years of relevant experience in Computer Science, IT, or related field

OR

Associate’s degree and 8 years of relevant experience in Computer Science, IT, or related field

OR

High school diploma / GED and 10 years of relevant experience in Computer Science, IT, or related field

Required Skills:

• Software programming (Python, version control, test driven development).
• Experience 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 (preferred), 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).
• Experience with graph databases.

Soft Skills:

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

What you can expect from 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

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

careers.amgen.com

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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.

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Salary Range