AI Engineer Intern: Build Scalable ML Systems

Postman; Berkeley (CA); On-site; USD 28,000 - 48,000; Full time

Benefits offered by this job

Full medical coverage

Flexible PTO

Wellness reimbursement

Monthly lunch stipend

Donation matching program

Job summary

Postman is seeking an AI Engineer Intern to work with the AI team on large-scale AI and Agentic systems from data pipeline to production. You will own discrete pieces of real systems under mentorship, contributing to model development and productionization with guidance from senior engineers.

Ideal candidates are pursuing BS/MS/PhD in CS/Data Science, have some ML project experience, and are comfortable with Python and at least one ML framework.

Qualifications

• Currently pursuing a BS/MS/PhD in Computer Science, Data Science, or a related field.
• Some hands-on experience with ML systems - course projects, research, hackathons, or a prior internship all count.
• Solid Python/Rust fundamentals: data structures, functions, basic testing, comfort reading and writing code reviews.
• Exposure to at least one AI/ML frameworks (PyTorch or JAX) and basic data tooling (Pandas, SQL).
• Nice to have, not required: familiarity with a cloud platform (AWS/GCP/Azure), Docker, or a model-serving tool (vLLM, Triton, Ray Serve).
• Clear written and verbal communication. You'll documenting your own work and asking questions across product, design, and engineering.

Responsibilities

• Translate product requirements into scoped AI problem statements with product teams.
• Prepare data pipeline and AI store design under senior engineer guidance.
• Build and validate AI models using PyTorch or JAX and similar tools.
• Run large-scale experiments, evaluate models against metrics, and support ablation studies.

Skills

Communication

ML systems exposure

Problem solving

Education

BS/MS/PhD in CS/Data Science or related

Tools

Python

Rust

PyTorch

JAX

Job description

Postman is seeking an AI Engineer Intern to work with the AI team on large-scale AI and Agentic systems from data pipeline to production. You will own discrete pieces of real systems under mentorship, contributing to model development and productionization with guidance from senior engineers.

Ideal candidates are pursuing BS/MS/PhD in CS/Data Science, have some ML project experience, and are comfortable with Python and at least one ML framework.