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Machine Learning Scientist

Job in Thousand Oaks, Ventura County, California, 91358, USA
Listing for: Amgen
Full Time position
Listed on 2026-06-03
Job specializations:
  • Software Development
    Data Scientist, Machine Learning/ ML Engineer
Job Description & How to Apply Below
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. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. 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.

** Machine Learning Scientist*
* ** What you will do*
* Let's do this. Let's change the world. Within Amgen's Research and Development organization, the Therapeutic Protein Design (TPD) team supports the broad goal of advancing and applying computational protein design to revolutionize how biologic therapeutics are made.

In this vital role you will work with a cross functional team of scientists and engineers building foundational models that are used, tested, and trained on real world applications of generative design to the development of therapeutic biomolecules. Providing technical leadership and partnering across broad discovery areas of research, you will:

Develop and implement groundbreaking machine learning and protein science solutions.

+ Collaborate with computational and experimental scientists toestablishthese tools as a foundation ofthe discovery pipeline.

+ Work towards individual ownership and a leadership role indeterminingmodel architectures and research program needs.

+ Engage with open source and academic collaborations in the machine learning field.

** What we expect of you*
* We are all different, yet we all use our unique contributions to serve patients. The driven professional we seek is a highly collaborative and confident researcher with these qualifications.

*
* Basic Qualifications:

*
* Doctorate degree

OR

Master's degree and 2 years of machine learning experience

OR

Bachelor's degree and 4 years of machine learning experience

OR

Associate's degree and 8 years of machine learning experience

*
* Preferred Qualifications:

*
* + PhD in in Computational Sciences, Computational Biology, Applied Math,Statisticsor related quantitative field.

+ Strong track recordof research accomplishments including three or more scientific publications or conference presentations in machine learning

+ Experience specifically with model training and diffusion model architecture,demonstrated by scientific publication or conference presentations.

+

Experience with UNIX/Linux, Python,PyTorch, Git, and cloud computing platforms

+ Experience working with biological data, andin applying machine learning to computational biology

+ Strong communication and technical leadership skills with an enthusiasm for working in an interdisciplinary team environment.

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…
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