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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.