Associate Engineer, Analytical AI Engineering

Working with Us

Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it.

You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more:

DESCRIPTION

The Associate Engineer is a developing individual contributor who delivers reliable, well-scoped engineering work within established patterns. You will help build data pipelines, ML workflow components, and platform features that support production-ready AI/ML solutions. You will build technical proficiency, contribute consistently against team commitments, and work within proven architecture patterns with guidance from senior engineers after initial alignment. This role is well suited for early-career engineers who are ready to take on real ownership while building toward increasingly independent delivery.

The ideal candidate is dependable, curious, and eager to grow.

KEY RESPONSIBILITIES

Technical Delivery

* Implement data pipelines, ML workflow components, and platform features following established architecture patterns and coding standards.

* Write readable, maintainable, testable code with limited guidance after initial design alignment with senior engineers.

* Deliver well-scoped work reliably and on schedule; understand how your work fits into the larger solution.

Problem Solving

* Write and maintain tests for your work; ensure changes are tested before deployment.

* Troubleshoot issues within your assigned pipelines and features with minimal guidance; identify root causes and propose solutions.

* Navigate the codebase and data designs with growing independence after initial orientation.

Collaboration & Growth

* Contribute input to team scoping and design exercises; share observations that improve how the team approaches recurring problems.

* Explain your work clearly to teammates, including what you built, why, and any trade-offs.

* Demonstrate awareness of the business context for your work and how it connects to the team's broader goals.

* Take ownership of your development; actively seek feedback and apply it to strengthen your technical and professional skills.

QUALIFICATIONS

Education

* BA/BS required (quantitative or engineering discipline preferred).

Experience

* 0-2 years of experience in data engineering, software engineering, ML engineering, or a related field; relevant advanced degrees contribute to required years of experience.

Technical Skills

* Proficiency in Python and SQL; familiarity with data pipeline development and common processing patterns.

* Working knowledge of version control (Git), testing practices, code review, and documentation.

* Exposure to cloud environments (AWS, Azure, or Databricks); willingness to develop deeper platform proficiency.

* Familiarity with ML concepts and workflows (model training, feature engineering, data preparation); MLOps experience a plus.

Competencies

* Works effectively within team guidelines and standards.

* Builds positive working relationships with teammates and cross-functional partners.

* Reliable: delivers commitments and communicates proactively when blockers arise.

* Demonstrates curiosity and commitment to growing technical and professional skills.

If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

Compensation Overview:

Princeton - NJ - US: $81,260 - $98,468

The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee's work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.

Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit

Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. Our benefits include:

* Health Coverage:
Medical, pharmacy, dental, and vision care.

* Wellbeing Support:
Programs such as BMS Well-Being Account, BMS Living Life…