- Experience
- Any
- Salary
- —
- Openings
- 1
- Posted
- 2 घंटे पहले
- Work mode
- In office
- Education
- BS/MS/PhD in Computer Science or related field
- Eligibility
- Candidates currently pursuing an undergraduate or graduate degree in Computer Science, Data Science, or comparable disciplines with foundational experience in machine learning may apply.
- Resume
- Required to apply
Where you'll work
Job description
About Postman
Postman is a leading API platform trusted by over 45 million developers and 500,000 organizations worldwide, including 98% of the Fortune 500 companies. Established in San Francisco with additional offices globally, Postman focuses on simplifying the API lifecycle and enhancing collaboration to accelerate API development.
Position Overview
We are looking for an AI Engineer Intern to collaborate with our AI team in building large-scale AI and agentic systems, handling everything from data pipelines to production deployment. This internship offers substantial responsibility, enabling you to manage meaningful components of live systems under close mentorship rather than isolated or theoretical projects.
Key Responsibilities
- Collaborate with product managers, designers, and engineers to define AI-related challenges derived from product goals.
- Assist in designing data pipelines and AI storage systems with guidance from senior engineers.
- Develop and validate AI models utilizing frameworks like PyTorch or JAX and associated tools such as Optax and TensorStore.
- Conduct extensive experiments and evaluate models using performance metrics; perform ablation studies and error analyses.
- Support the construction of inference APIs and batch scoring workflows and integrate AI outputs with backend services.
- Participate in operational excellence practices including model versioning, continuous integration/deployment, monitoring, and logging.
- Gain experience in model optimization techniques such as quantization, batching, and distillation under supervision.
- Support root-cause investigation of production issues alongside senior staff.
- Document experiments, architectural decisions, and process runbooks thoroughly to ensure knowledge transfer.
- Identify and report concerns regarding fairness, transparency, or privacy in datasets or model behavior.
Candidate Profile
- Currently enrolled in BS, MS, or PhD programs in Computer Science, Data Science, or related disciplines.
- Practical experience with machine learning systems from academic projects, research, hackathons, or prior internships.
- Proficient in Python or Rust programming fundamentals including data structures, functions, testing, and code reviews.
- Familiarity with at least one AI/ML library such as PyTorch or JAX, as well as foundational data tools like Pandas and SQL.
- Preferred—but not essential—experience with cloud platforms (AWS, GCP, Azure), container technologies (Docker), or model serving frameworks (vLLM, Triton, Ray Serve).
- Effective communication skills for clear documentation and cross-functional collaboration.
Benefits and Work Environment
Postman supports a pay-for-performance culture with a flexible work schedule within a vibrant, collaborative team. Benefits include comprehensive medical coverage, flexible paid time off, wellness reimbursement, monthly lunch stipends, wellness programs, team-building events, and a charitable donation matching initiative. We prioritize an inclusive culture fostering growth and well-being.
For roles based in our San Francisco Bay Area and other major hubs, office attendance is required 5 days a week to promote collaboration and knowledge sharing.
Equal Employment Opportunity
Postman is committed to a non-discriminatory recruitment process and is an Equal Employment Opportunity and Affirmative Action employer. Applications are considered irrespective of race, gender, sexual orientation, religion, disability, veteran status, or other protected factors.