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Machine Learning Engineer

Amgen is a leading biotechnology company pioneering innovative human therapeutics through advanced human genetics and biologics manufacturing since 1980.
Thousand Oaks, CA, USA
$123,477 - $169,172
Machine Learning
Mid-Level Software Engineer
Remote
5,000+ Employees
2+ years of experience
Healthcare · Biotech · AI

Job Description

Amgen, a leading biotechnology company since 1980, is seeking a Machine Learning Engineer to join their innovative team. This role combines cutting-edge ML engineering with the meaningful mission of serving patients with serious illnesses. The position offers a unique opportunity to work at the intersection of biotechnology and artificial intelligence, focusing on building and scaling machine learning models from development to production.

The role requires expertise in both machine learning and operations, with responsibilities including developing ML models, building MLOps pipelines, and implementing monitoring systems. You'll work with cloud platforms and utilize modern tools like Kubernetes and Python, while collaborating with cross-functional teams of data scientists, engineers, and product specialists.

Amgen offers a comprehensive benefits package including healthcare coverage, retirement plans with company contributions, and stock-based incentives. The company's culture emphasizes collaboration, innovation, and science-based approaches, making it an ideal environment for professional growth in the ML field. With a salary range of $123,477 - $169,172 and remote work options, this position presents an excellent opportunity to make a lasting impact on patient care while advancing your career in machine learning engineering.

The ideal candidate will have a strong foundation in ML algorithms, experience with MLOps practices, and excellent analytical skills. Whether you're passionate about solving complex technical challenges or driven by the opportunity to improve healthcare through technology, this role offers the chance to work on meaningful projects while being part of a company that's transforming the lives of patients worldwide.

Last updated 21 days ago

Responsibilities For Machine Learning Engineer

  • Collaborate with data scientists to develop, train, and evaluate machine learning models
  • Build and maintain MLOps pipelines
  • Leverage cloud platforms for ML model development
  • Implement DevOps/MLOps best practices
  • Develop and implement monitoring systems
  • Conduct A/B testing and experimentation
  • Work closely with data scientists, engineers, and product teams

Requirements For Machine Learning Engineer

Python
Kubernetes
  • Master's degree OR Bachelor's degree with 2 years experience OR Associate's degree with 6 years experience
  • Solid foundation in machine learning algorithms
  • Experience in MLOps practices and tools
  • Proficiency in Python and ML libraries
  • Experience with DevOps tools
  • Outstanding analytical and problem-solving skills
  • Strong communication skills

Benefits For Machine Learning Engineer

401k
Medical Insurance
Dental Insurance
Vision Insurance
  • Comprehensive employee benefits package
  • Retirement and Savings Plan with company contributions
  • Medical, dental and vision coverage
  • Life and disability insurance
  • Flexible spending accounts
  • Annual bonus program
  • Stock-based long-term incentives
  • Flexible work arrangements