Software Engineer, ML Research

Anysphere, Inc

$120K — $160K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in infrastructure or distributed systems
  • Proficiency in building and scaling training and inference pipelines
  • Experience with reinforcement learning techniques
  • Strong problem-solving skills with a track record of ownership
  • Understanding of language models and ML principles

Responsibilities

  • Build distributed training and inference systems for coding models
  • Create libraries to facilitate large-scale data processing for researchers
  • Architect systems that convert user data into training data
  • Collaborate closely with researchers to streamline progress
  • Ensure fast iteration through effective system design

Benefits

  • Opportunity to work at the forefront of coding technology
  • Collaborative environment with a focus on innovative solutions
  • Access to cutting-edge tools and technologies in ML
  • Professional development opportunities in machine learning and AI
Full Job Description
Engineering • Full-time • San Francisco; New York
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Research Engineer

Cursor is building the future of coding. We train frontier coding agents 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

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