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Senior Machine Learning Engineer

Amgen is a leading biotechnology company committed to unlocking biology's potential for patients with serious illnesses through innovative therapeutics development and manufacturing.
Thousand Oaks, CA, USATampa, FL, USA
$158,606 - $200,052
Machine Learning
Senior Software Engineer
Remote
5,000+ Employees
4+ years of experience
Healthcare · Biotech · AI

Job Description

Amgen, a pioneering biotechnology company since 1980, is seeking a Senior Machine Learning Engineer to join their mission of serving patients with serious illnesses. This role combines cutting-edge machine learning engineering with meaningful impact in the healthcare sector. The position involves developing sophisticated data pipelines and predictive analytics solutions across AWS regions, working with biotech/pharma commercial data.

The role offers a unique opportunity to apply machine learning expertise in a mission-driven environment, working on projects that directly impact patient care and medical advancement. As a senior engineer, you'll be responsible for the full ML lifecycle - from data pipeline development to model deployment and monitoring. You'll work with various datasets in the biotech/pharma domain, creating data visualizations, performing statistical analysis, and implementing automated ML solutions.

The position requires strong technical skills in Python, machine learning frameworks, and cloud technologies, combined with the ability to mentor junior engineers and collaborate across functions. You'll be working with modern tools and technologies including Kubernetes, Docker, and various ML frameworks, while having the flexibility to work remotely.

Amgen offers an excellent compensation package, including competitive salary, comprehensive benefits, and stock-based incentives. The company's collaborative culture and focus on innovation provide an ideal environment for professional growth in the intersection of technology and healthcare. This is an opportunity to be part of a team that's using advanced technology to pioneer new treatments and improve patients' lives.

Last updated a day ago

Responsibilities For Senior Machine Learning Engineer

  • Design and develop data pipelines for Global Data and Analytics team
  • Explore and understand biotech/pharma commercial data analytics datasets
  • Create data visualizations
  • Perform data cleaning, statistical analysis, and feature engineering
  • Develop pipeline for model selection, training, and evaluation
  • Automate model deployment, monitoring, and model retrain process
  • Work on data engineering and machine learning projects
  • Mentor junior data/machine learning engineers
  • Collaborate with cross-functional teams

Requirements For Senior Machine Learning Engineer

Python
Kubernetes
  • Bachelor's degree and 4 years of Data Science/Machine Learning experience (or equivalent combination of education and experience)
  • Strong programming skills in Python or R
  • Experience with machine learning frameworks (Tensorflow, Keras or PyTorch)
  • Familiar with Machine Learning lifecycle
  • Proficiency in statistical techniques and hypothesis testing
  • Experience with SQL and SparkSQL performance tuning
  • Experience with AWS, Azure, or Google Cloud
  • Knowledge of NLP techniques
  • Experience with Docker, Kubernetes
  • Experience with Databricks, Apache Airflow and Apache Spark

Benefits For Senior Machine Learning Engineer

Medical Insurance
Dental Insurance
Vision Insurance
401k
Equity
  • 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
  • Award-winning time-off plans