Senior Machine Learning Engineer

Job description

Join Amgen’s Mission of Serving Patients

At Amgen, if you feel like you’re part of something bigger, it’s because you are.

Our shared mission—to serve patients living with serious illnesses—drives all that we do.

Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases.

With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year.

As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based.

If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team.

Join us and transform the lives of patients while transforming your career.

**Senior Machine Learning Engineer**

**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 create 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.
+ Flexible to work on data engineering or machine learning projects based on current product backlog within the team.
+ 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

**What we expect of you**

We are all different, yet we all use our unique contributions to serve patients.

The ML professional we seek will have these qualifications.

**Basic Qualifications:**

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

**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 Databricks, Apache Airflow and Apache Spark; Spark performance turning
+ Experience with Pharmaceutical industry, commercial operations

What you can expect from us

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being.

From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.

The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted.

Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.

In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of 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 that may include:

+ 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

Apply now and make a lasting impact with the Amgen team.

**careers.amgen.com**

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation.

You will not be penalized for redacting or removing this information.

**Application Deadline**

Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.

As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients.

Together, we compete in the fight against serious disease.

Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.

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 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.

Required Skill Profession

Other General