Associate Engineer, Analytical AI Engineering

Bristol Myers Squibb

Quick summary

Work type
On-site
Location
Princeton, NJ
Salary
$81,260–$98,468 / yr
Posted
3 days ago
Closes
Sep 30, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $207k
This role $90k
$61k most similar roles pay here $266k

This role pays less than 99% of similar roles. Most pay $167,449–$246,150 — the shaded band above. At the midpoint, this role pays about $90k versus about $207k for comparable roles.

Based on 240 similar postings.

Employer

About Bristol Myers Squibb

Bristol Myers Squibb is a global biopharmaceutical company committed to discovering, developing and delivering innovative medicines to patients.

Bristol Myers Squibb currently has 33 open roles on FindRole.

Listed pay typically runs $137,530–$166,654 across 33 roles with salary data.

Most-posted roles

View all roles at Bristol Myers Squibb

At a glance

TL;DR · Associate Engineer, Analytical AI Engineering

The Associate Engineer role at a leading tech company is designed for early-career engineers to contribute to the development of data pipelines, ML workflow components, and platform features that support production-ready AI/ML solutions. Day-to-day responsibilities include implementing technical deliverables within established architecture patterns, writing maintainable code with guidance from senior team members, troubleshooting issues independently, and collaborating on design exercises to enhance team efficiency. The ideal candidate should be proficient in Python and SQL, familiar with cloud environments like AWS or Azure, and have a foundational understanding of ML concepts and MLOps practices. This role is part of a dynamic team focused on building scalable AI solutions that address complex business challenges.

What you'll do

  • Implement data pipelines and ML workflow components following established patterns.
  • Write maintainable code with limited guidance after initial alignment with senior engineers.
  • Troubleshoot issues within assigned pipelines and features independently.
  • Maintain tests for your work to ensure changes are tested before deployment.
  • Explain technical decisions clearly to teammates, including trade-offs made.

What we're looking for

  • 0-2 years of experience in data engineering, software engineering, or ML engineering.
  • Proficiency in Python and SQL with familiarity in data pipeline development.
  • Working knowledge of version control (Git), testing practices, code review, and documentation.
  • Exposure to cloud environments like AWS, Azure, or Databricks.
  • Familiarity with ML concepts including model training and feature engineering.
  • Ability to work effectively within team guidelines and build positive relationships.
  • Demonstrated reliability in delivering commitments and proactive communication.

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