# Research Engineer, Pretraining Scaling

Hiring organization: [Menlo Ventures Portfolio](https://career.thegoodapps.co/organizations/menlo-ventures-portfolio)

Canonical page: https://career.thegoodapps.co/jobs/486e1900-d7f1-482f-a1ee-0a427aa274f7

Listed on Menlo Ventures Portfolio's own careers site. Applications go to them directly.

- Employment type: full time
- Location: San Francisco, CA
- Salary: 350000 – 850000 USD per year

## Summary

This role involves keeping Anthropic's large-scale language model training pipelines running reliably and efficiently, requiring someone comfortable operating production systems during launches while also contributing research improvements to the training stack. It suits engineers who enjoy both debugging complex infrastructure problems and designing experiments to optimize model performance.

_Our summary, not Menlo Ventures Portfolio's wording._

## Skills named

JAX, PyTorch

## Required

- Hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems
- Comfort being on-call for production systems and working extended hours during launches
- Ability to debug complex, ambiguous problems across multiple layers of the stack
- Strong communication and cross-timezone collaboration skills
- Bachelor's degree or equivalent education, training, and/or experience

## Nice to have

- Previous experience training LLMs or extensive work with JAX/TPU, PyTorch, or other ML frameworks at scale
- Open-source LLM framework contributions (e.g., open_lm, llm-foundry, mesh-transformer-jax)
- Published research on model training, scaling laws, or ML systems
- Production ML systems or observability tools experience
- Background as a systems engineer, quant, or similar role requiring technical depth and operational excellence

Apply on Menlo Ventures Portfolio's site: https://job-boards.greenhouse.io/anthropic/jobs/4938432008