Job Url: https://www.remoterocketship.com/company/amgen-3/jobs/senior-machine-learning-engineer-united-states-remote

Job Description: 
Amgen
Website
LinkedIn
All Job Openings
Amgen is a global leader in biotechnology, focusing on the development and commercialization of innovative medicines made from living cells. The company aims to treat serious illnesses, often targeting diseases with limited therapeutic options. 

Amgen emphasizes scientific innovation and is committed to ethical research, patient safety, and environmental sustainability. It actively engages in clinical trials and is known for its contributions to the fields of cancer treatment and obesity management among others. 

Biologics • Human therapeutics • Development of novel products


10,000+ employees


Founded 1980

🧬 Biotechnology

💊 Pharmaceuticals

🔬 Science

💰 Post-IPO Debt on 2022-12

Senior Machine Learning Engineer
July 18

🏄 California – Remote


🐊 Florida – Remote


💵 $158.6k - $200.1k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

Airflow

Apache

AWS

Azure

Cloud

Docker

ETL

Keras

Kubernetes

PySpark

Python

PyTorch

Spark

SQL

Tensorflow

Apply Now


Receive Emails with Similar Jobs
Report problem
📋 Description
• Join Amgen’s Mission of Serving Patients
• Be a key team member assisting in design and development of the data pipeline
• Develop data flow pipelines to extract, transform, and load data from various data sources
• Ensure consistent feature engineering between training and model serving
• Automate model deployment, monitoring, model retrain process
• Work with Data Scientist to perform data cleaning, statistical analysis, feature engineering
• Create informative and appealing data visualizations
• Collaborate with data engineers, analysts, and business stakeholders
• Mentor junior data/machine learning engineers

🎯 Requirements
• Doctorate degree OR Master’s degree and 2 years of Data Science/Machine Learning experience
• Or Bachelor’s degree and 4 years of Data Science/Machine Learning experience
• Or Associate’s degree and 8 years of Data Science/Machine Learning experience
• Or High school diploma / GED and 10 years of Data Science/Machine Learning experience
• Strong programming skills in Python or R,
• Outstanding analytical and problem-solving skills
• Ability to learn quickly
• Familiar with PySpark dataframe and data processing libraries
• Familiar with Machine Learning life cycle
• Proficiency in statistical techniques and hypothesis testing
• Experience with data modeling for both OLAP and OLTP databases
• Experience with software DevOps CI/CD tools, GitLab
• Experience with data modeling for both OLAP and OLTP databases
• Familiar with AWS, Azure, or Google Cloud

🏖️ Benefits
• 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, including remote and hybrid work arrangements, where possible