Associate Engineer, Analytical AI Engineering

Job Overview

Associate Engineer – Analytical AI Engineering. You will help build data pipelines, ML workflow components, and platform features that support production-ready AI/ML solutions. This role is ideal for early‑career engineers ready to take on real ownership while learning to work independently.

• 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.
  • 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.

• Education – BA/BS required (quantitative or engineering discipline preferred).
• Experience – 0‑2 years in data engineering, software engineering, ML engineering, or a related field; advanced degrees may offset experience.
• Technical Skills – Proficiency in Python and SQL; familiarity with data pipeline development and common processing patterns; working knowledge of Git, testing practices, code review, and documentation; exposure to AWS, Azure, or Databricks; familiarity with ML concepts and workflows; MLOps experience is a plus.
• Competencies – Works effectively within team guidelines and standards; builds positive working relationships with teammates and cross‑functional partners; reliable, delivers commitments, communicates proactively when blockers arise; demonstrates curiosity and commitment to growing technical and professional skills.

• Base salary: $81,260 – $98,468 (Princeton, NJ – US). Additional incentive cash and stock opportunities may be available.
• Benefits include:
  Health coverage (medical, pharmacy, dental, vision), wellbeing support, financial well‑being and protection, paid time off, 401(k) plan, and other standard corporate benefits.

We encourage you to apply even if your resume isn’t a perfect match; we’re looking for dependable, curious, and eager to grow individuals.

We are an equal‑opportunity employer and encourage applicants from all backgrounds. We comply with all applicable employment laws and offer reasonable accommodations for individuals with disabilities.