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Principal Machine Learning Engineer

A leading biotechnology company pioneering innovative human therapeutics since 1980, focusing on discovering, developing, and manufacturing treatments for serious illnesses.
Machine Learning
Principal Software Engineer
In-Person
5,000+ Employees
10+ years of experience
Healthcare · AI · Biotech

Description For Principal Machine Learning Engineer

Amgen, a pioneering biotechnology company since 1980, is seeking a Principal Machine Learning Engineer to join their innovative team. This role combines cutting-edge ML engineering with the noble mission of serving patients with serious illnesses. The position offers an opportunity to work at the intersection of biotechnology and artificial intelligence, developing and deploying machine learning solutions that could potentially impact millions of lives.

The role demands expertise in both machine learning and MLOps, requiring the successful candidate to build and scale ML models from development to production. You'll be working with state-of-the-art technologies and frameworks, including cloud platforms, MLOps tools, and modern ML libraries. The position involves close collaboration with data scientists, engineers, and product teams, offering a chance to work on meaningful projects that contribute to Amgen's mission in Oncology, Inflammation, General Medicine, and Rare Disease areas.

As a Principal ML Engineer, you'll be responsible for the entire ML lifecycle, from model development to production deployment, while also mentoring junior team members. The role combines technical excellence with leadership opportunities, making it ideal for experienced ML professionals who want to make a lasting impact in healthcare through technology.

Amgen offers a collaborative, science-based culture where innovation is encouraged, and impact is measurable through patient outcomes. The company provides comprehensive benefits and a chance to work with global teams on challenging problems at the intersection of biology and technology. This role represents a unique opportunity to apply machine learning expertise in a meaningful way while contributing to breakthrough medical discoveries.

Last updated 4 hours ago

Responsibilities For Principal 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, training, and deployment
  • Implement DevOps/MLOps best practices
  • Develop and implement monitoring systems
  • Conduct A/B testing and experimentation
  • Guide and mentor junior engineers
  • Work closely with data scientists, engineers, and product teams

Requirements For Principal Machine Learning Engineer

Python
Kubernetes
  • Doctorate degree and 2 years experience OR Master's degree and 8-10 years experience OR Bachelor's degree and 10-14 years experience
  • Strong foundation in machine learning algorithms and techniques
  • Experience in MLOps practices and tools (MLflow, Kubeflow, Airflow)
  • Experience in DevOps tools (Docker, Kubernetes, CI/CD)
  • Proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn)
  • Outstanding analytical and problem-solving skills
  • Excellent communication and interpersonal skills
  • Experience with big data technologies
  • Knowledge of NLP techniques

Benefits For Principal Machine Learning Engineer

Medical Insurance
Dental Insurance
Vision Insurance
  • Competitive base salary
  • Comprehensive Total Rewards Plans aligned with local industry standards

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