Address
SalaryHOW MIGHT YOU DEFYIMAGINATION?
You’ve worked hard to become the professional you are today and are now ready to take the next step in your career. How will you put your skills, experience and passion to work toward your goals? At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies, reaching over 10 million patients worldwide. Come do your best work alongside other innovative, driven professionals in this meaningful role.
Senior MachineLearningEngineer
Live
What you will do
Let’s do this. Let’s change the world. In this vital role you will be part of the technical/engineering team, develop data flow pipelines to extract, transform, and load data from various data sources in various data format to enterprise data lake and data warehouse system in three regions in AWS, provide data analytics and predictive analysis to business users. We look for people who can work in a team, able to mentor junior engineers, is curious to learn and able to develop data engineering and Machine Learning Engineering solution in a fast-moving environment.
- Be a key team member assisting in design and development of the data pipeline for Global Data and Analytics team
- Work with Data Scientist to perform statistical analysis and model fine-tuning using test results; train and retrain system when necessary
- Work with Data Scientist to analyze common features across use cases; define reusable features in feature tables
- Ensure consistent feature engineering between training and model serving
- Automate model monitoring, model retrain, model deployment process based on business requirement
- Adhere to best practices for coding, testing and designing reusable code/component
- Able to explore new tools, technologies that will help to improve ETL platform performance and Machine Learning operations
- Participate in sprint planning meetings and provide estimations on technical implementation; Collaborate and communicate effectively with the product team
- Mentor junior data/Machine Learning Engineer
Win
What we expect of you
We are all different, yet we all use our unique contributions to serve patients. The professional we seek will have these qualifications:
Basic Qualifications:
Doctorate degree
OR
Master’s degree and 3+ years of Information Systems experience
OR
Bachelor’s degree and 5+ years of Information Systems experience
OR
Associate’s degree and 10+ years of Information Systems experience
Or
High school diploma / GED and 12+ years of Information Systems experience
Preferred Qualifications:
- Ability to write robust code in Python, Java or R
- Outstanding analytical and problem-solving skills; Ability to learn quickly and detail oriented
- Familiar with PySpark dataframe and data processing libraries, Machine Learning frameworks (like Tensorflow, Keras or PyTorch), and other Machine Learning libraries
- Familiar with Machine Learning life cycle, be able to implement feature store, MLflow, model registry, model deployment, model serving, model monitoring
- Experience with Machine Learning operations
- Deep knowledge of math, probability, statistics and algorithms
- Experience with data modeling for both OLAP and OLTP databases, hands-on experience with SQL, especially SparkSQL performance tuning
- Experience with software DevOps CI/CD tools, such GitLab
- Experience with docker container, Kubernetes container orchestration
- Experience with Apache Airflow and Apache Spark; Spark performance turning
- Experience with Pharmaceutical industry, commercial operations
- Excellent communication skills and ability to work in a team
Thrive
What you can expect of us
As we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well-being.
In addition to the base salary, Amgen offers a Total Rewards Plan comprising 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 including:
- 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 and bi-annual company-wide shutdowns
- Flexible work models, including remote work arrangements, where possible
Apply now
for a career that defiesimagination
Objects in your future are closer than they appear. Join us.
careers.amgen.com
#NBMBAA
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
