Associate Engineer, Analytical AI Engineering

About the role

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.

Additional information

We hire for skills and capabilities, not just credentials - if this role excites you, but doesn't perfectly match your resume, we encourage you to apply anyway.

Compensation Overview

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

The starting pay range(s) listed above is for full-time employees (FTE). You may also be eligible for additional discretionary incentive cash and stock opportunities. We determine starting pay thoughtfully - carefully considering the nature of the role, required skills, work location, schedule and the knowledge and experience you bring. Final compensation is guided by pay equity principles and applicable employment laws. Compensation programs are reviewed on an ongoing basis and may be adjusted over time to reflect evolving market factors, and individual, team or Company performance.

Benefits

Subject to the terms and conditions of the applicable plans then in effect, you may be eligible to participate in our comprehensive benefit plans - including wellbeing support, retirement and financial protection benefits, and insurance offerings (medical, dental, vision, life and disability).

• U.S.-based exempt employees are eligible for Flexible Time Off (FTO), which provides paid time off without a set accrual limit, subject to manager approval, along with 11 paid company holidays each year.
• Non-exempt employees, RayzeBio employees, and employees located in Puerto Rico receive 160 hours of paid vacation annually for new hires (subject to manager approval), 11 paid company holidays, and 3 optional holidays.

Depending on eligibility, employees may also have access to additional time-off benefits, including paid sick leave, up to two paid volunteer days per year, summer hours flexibility, and leaves of absence for medical, personal, parental, caregiver, bereavement, or military needs. Eligible employees also enjoy an annual Global Shutdown between Christmas Day and New Year's Day.

How We Work

• Where you work matters - because collaboration, innovation and patient impact happen in many settings.
• Our roles are structured across four work models: site-essential, site-by-design, field-based and remote-by-design.
• The model assigned to this role is based on its core responsibilities.

Data Protection

• We will never request payments, financial information, or social security numbers during our application or recruitment process.
• Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

• If this posting is missing required information required by local law or incorrect, contact BMS at with the Job Title and Requisition number.
• Do not send application-related inquiries to this email.
• To check your application status, please login to your Candidate Home Account.

R1608005: Associate Engineer, Analytical AI Engineering