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Job at Anysphere

Software Engineer, ML Research

Employer
Anysphere (Cursor)
Location
New York · San Francisco
Workplace
on-site
Employment
full-time
Department
Engineering
Team
Machine Learning
Last published
First listed on USASI

Apply on Anysphere’s site (external site)View the posting on Anysphere’s job board (external site)

This posting comes from Anysphere (Cursor)’s own Ashby job board. USASI checks that board every day and removes this page once the employer closes the posting. The description below is Anysphere’s text as published; USASI does not edit it, does not recruit, and does not take applications. How jobs are collected.

Job description

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars.

SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next.

Research Engineer

SpaceXAI is building the future of coding. We train frontier coding agents (external site) and scale RL on real user data to make them increasingly effective.

About the role

We’re looking for Research Engineers to build the training, inference, and data systems behind our frontier coding models. You’ll work directly with researchers to make progress repeatable and iteration fast.

What you’ll do

  • Build our distributed training, inference, and RL infrastructure
  • Write libraries to simplify how researchers do large-scale data jobs
  • Architect the systems that turn Cursor user data into effective training data

You may be a fit if

  • You have a strong infrastructure/distributed systems background
  • You are able to architect and ship end-to-end with high ownership
  • You have strong intuitions about how language models work
  • You’re excited to learn more about ML

#LI-DNI

Apply on Anysphere’s site (external site)

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