Job Information
Amgen Senior Machine Learning Engineer in Thousand Oaks, California
HOW MIGHT YOU DEFY IMAGINATION?
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 Machine Learning Engineer (Thousand Oaks, Tampa)
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, such as data cleaning and transformation.
Able to explore, understand various datasets used in biotech/pharma commercial data analytics; Able to build informative and appealing data visualizations.
Work with Data Scientist to perform data cleaning, statistical analysis, feature engineering; Develop pipeline for model selection, training, and evaluation.
Understand experimental design and conducting A/B tests for data-driven decision-making.
Ensure consistent feature engineering between training and model serving.
Automate model deployment, monitoring, model retrain process.
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.
Able to work effectively in cross-functional teams and collaborate with data engineers, analysts, and business stakeholders.
Strong communication skills to convey insights and findings to non-technical stakeholders.
Able to stay updated with the latest trends and advancements in data science/machine learning technologies.
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 machine learning professional we seek will have these qualifications.
Basic Qualifications:
Doctorate degree
OR
Master’s degree and 3 years of machine learning experience
Or
Bachelor’s degree and 5 years of machine learning experience
Or
Associate’s degree and 10 years of machine learning experience
Or
High school diploma / GED and 12 years of machine learning experience
Preferred Qualifications:
Strong programming skills in Python or R, library and packages related to data manipulation, statistical analysis, chart/plot, and machine learning algorithms and framework.
Outstanding analytical and problem-solving skills; Ability to learn quickly; experience in model selection, training, and evaluation.
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
Proficiency in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification
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, GitLab
Familiar with AWS, Azure, or Google Cloud
Knowledge of NLP techniques for text analysis and sentiment analysis
Experience in analyzing time-series data for forecasting and trend analysis.
Experience with docker container, Kubernetes container orchestration
Experience with Apache Airflow and Apache Spark; Spark performance turning
Experience with Pharmaceutical industry, commercial operations
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.
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 defies imagination
Objects in your future are closer than they appear. Join us.
careers.amgen.com
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.
Amgen
- Amgen Jobs