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AI Engineer Intern

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Onsite

AI Engineer Intern

Postman

AI Engineer Intern

Skills

Google Cloud PlatformSQL QueriesRustDockerPythonData SciencepandasPyTorchMachine LearningAIAWSAzure

3 months ago

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Important information


Location:

San Francisco, CA, USA

Work mode:

Onsite

Published on:

13 August 2026

What they need


Who you are

  • 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

What the job involves

  • 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
  • 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

Benefits

  • Health care: Based on where you're located and the plans available there, you can have up to 100% of your and your family's premium costs covered by Postman, or receive a generous monthly allowance to supplement existing medical coverage
  • Unlimited PTO: All full-time Postman employees have unlimited paid time off (PTO). We strongly encourage everyone to exercise this benefit to ensure that personal and work lives remain well-balanced, healthy, and fully charged. Your body, mind, spirit, and loved ones will appreciate it!
  • Supporting healthy meals: We want to ensure you eat healthy each day. It's why we provide a taxable monthly stipend so that you can be nourished throughout the week
  • Play well, be well: We're serious about your wellness. Whether it's a boxing club membership, hula classes, or a longboard, we're here to cheer you on to get out and get moving. We'll reimburse you for activities and items that bring you joy through our wellness and fitness program
  • Career development: We support your career development by providing access to unlimited courses on Udemy and a book allowance. Enhance and uplevel your skills, and even learn something completely new!

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