Dipp AIDipp AI

Open role

Member of Technical Staff Intern, AI Systems (2027)

A 12-week paid internship building real pieces of the Orcher control plane.

Team Engineering & research

Location New York, NY / Remote (US)

Type Internship

Level Intern / Early career

Compensation $9,000 – $12,000 per month, paid, plus housing stipend for New York

What we are building

Dipp AI Technologies is on a mission to close the gap between AI’s advanced reasoning capabilities and an enterprise’s ability to trust it with real work: verifiable, cost-disciplined, and in control of its own data.

We build Orcher, the agentic control plane that enforces Human-in-the-Role across seven components, and Dipp Intelligence, our Enterprise Superintelligence solution that compounds on verified execution.

Work directly with the founding team, building for customers from startups to Fortune 100 companies across industries. Help enterprises adopt frontier models, open weights and new compute providers without surrendering authority, economics or data control.

About the role

This is not a shadowing programme. Interns own a scoped, real piece of work: an evaluation harness, a ledger export path, a policy simulation tool, or a routing analysis that appears in published research.

You will be paired with a senior engineer, review code with the team, and present your work at the end of the term. Strong interns are offered full-time Member of Technical Staff roles.

Terms are available in summer and, by arrangement, during the academic year.

What you will do

  • Own a scoped project with real users inside the control plane, routing, or evidence stack.
  • Write production code with tests and participate in code review.
  • Instrument and measure your own work rather than assuming it helped.
  • Document what you built so it outlives your term.
  • Present findings to the team at the end of the internship.

What we look for

  • Strong programming ability in Python, TypeScript, Go, or Rust.
  • Solid computer-science fundamentals: data structures, concurrency, and systems basics.
  • Evidence of building something substantial — coursework, open source, research, or personal projects.
  • Curiosity about AI governance, evaluation, or distributed systems.
  • Ability to work independently between check-ins and to ask for help early.

Experience

  • Prior internship, research assistantship, or significant open-source contribution is welcome but not required.
  • No professional experience is required; we evaluate what you have built.

Education

  • Currently enrolled in a BS, MS, or PhD programme in Computer Science, Engineering, Mathematics, or a related field.
  • Recent graduates and career changers with a strong project portfolio are also considered.

Compensation and benefits

  • Paid internship with a housing stipend for New York-based terms.
  • Direct mentorship from a senior engineer and weekly time with the founder.
  • Hardware provided and compute budget for evaluation work.
  • Named credit on any research your work contributes to.

How we hire

  1. 01Application review — no timed screening test.
  2. 02Conversation with an engineer about something you built.
  3. 03Short practical exercise you keep and discuss.
  4. 04Final conversation with the founder.
  5. 05Offer.