AI Engineer, Intern
PostmanAPI Development company
Berkeley, United StatesIntern
Insight Partners
CRV
Coatue
Battery Ventures
Nexus Venture Partners
Bond Capital
Data & AI
About the role
TL;DR
AI Engineer Intern to work on large-scale AI and Agentic systems.
- •Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500.
- •Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster.
- •The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore
- •where Postman was founded.
- •Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners.
- •Learn more at postman.com or connect with Postman on X via @getpostman.
- •P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman.
- •The Opportunity We're seeking an AI Engineer Intern to work alongside our AI team on large-scale AI and Agentic systems from data pipeline to production deployment.
- •This role is scoped for someone with foundational experience who wants to deepen it: you'll own discrete pieces of real systems under the mentorship of senior engineers, not shadow work or isolated coursework-style projects.
- •What You'll Do Model Development Partner with product managers, designers, and engineers to translate product requirements into scoped AI problem statements.
- •Prepare data pipeline and AI store design under senior engineer guidance.
- •Build and validate AI models using PyTorch or JAX(Optax/Orbax / TensorStore/Grain) and similar tools.
- •Run large-scale experiments, evaluate models against defined metrics, and support ablation studies and error analysis.
- •Productionization Help build inference APIs and batch scoring workflows; integrate AI outputs with backend services.
- •Support AIOps practices already in place on the team: model versioning, CI/CD pipelines, monitoring dashboards, and logging.
- •Assist with model optimization work (quantization, batching, distillation) under supervision -this is a learning objective, not an expected independent deliverable.
- •Operational Rigor Contribute to root-cause analysis on production issues alongside senior engineers.
- •Document experiments, design decisions, and runbooks so your work is legible to the next person who touches it.
- •Flag fairness, interpretability, or privacy concerns you observe in data or model behavior….you're not expected to resolve these alone, but surfacing them is part of the job.
- •About You 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.
- •We are not requiring 1+ years of production experience for this role; that bar belongs on a full-time posting, not an internship.
- •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 be documenting your own work and asking questions across product, design, and engineering.
Required skills
PythonRustPyTorchJAXPandasSQL
Nice-to-have skills
AWSGoogle CloudAzureDocker
Domain expertise
developer-toolsai
Benefits & perks
Full medical coverage, Flexible PTO, Wellness reimbursement, Monthly lunch stipend
Tech stack
PythonRustPyTorchJAXPandasSQLAWSGoogle CloudAzureDocker