Sr Machine Learning Scientist

Amgen

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$134,168–$181,521 / yr
Posted
5 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $201k
This role $158k
$121k most similar roles pay here $258k

This role pays less than 75% of similar roles. Most pay $157,212–$244,537 — the shaded band above. At the midpoint, this role pays about $158k versus about $201k for comparable roles.

Based on 240 similar postings.

Employer

About Amgen

Amgen is a leading biotechnology company that discovers, develops, manufactures, and delivers innovative human therapeutics, with products addressing conditions such as anemia, bone loss, inflammation, and cancer. Industry: Biotechnology & Pharmaceuticals

Amgen currently has 36 open roles on FindRole.

Listed pay typically runs $136,906–$177,467 across 35 roles with salary data.

Most-posted roles

View all roles at Amgen

At a glance

TL;DR · Sr Machine Learning Scientist

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As a Machine Learning Scientist at Amgen’s Therapeutic Protein Design team, you will work closely with scientists and engineers to develop groundbreaking machine learning solutions for protein design, aiming to revolutionize the development of biologic therapeutics. Your daily tasks include collaborating on model architectures and research needs, establishing computational tools as foundational elements in discovery pipelines, and engaging in open-source and academic collaborations. Ideal candidates hold a PhD or equivalent experience with a strong track record in machine learning, particularly in model training and diffusion models, along with expertise in Python, PyTorch, Git, and cloud computing platforms. Experience with biological data and applying machine learning to computational biology is also crucial, as is the ability to communicate effectively within an interdisciplinary team environment.

Skills

Python PyTorch Git UNIX/Linux cloud computing platforms machine learning diffusion model architecture biological data analysis computational biology CI/CD

What you'll do

  • Develop and implement groundbreaking machine learning solutions for protein design.
  • Establish computational tools as a foundation of the discovery pipeline in collaboration with scientists.
  • Take ownership and lead in determining model architectures and research program needs.
  • Engage in open source and academic collaborations within the machine learning field.
  • Apply machine learning to biological data, enhancing computational biology applications.

What we're looking for

  • Doctorate degree or equivalent experience in machine learning.
  • Strong track record of research with multiple publications or presentations.
  • Experience in model training and diffusion model architecture.
  • Proficiency in UNIX/Linux, Python, PyTorch, Git, and cloud computing platforms.
  • Expertise in applying machine learning to computational biology and biological data.
  • Excellent communication and technical leadership skills for interdisciplinary teams.

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