Ml Engineer, Post-training And Evaluation

Reflection AI

San Francisco, United States
Top-tier compensation; salary + equity structured ...
On-site
Applied ml experience with fine-tuning
Hands-on sft, dpo, rlhf techniques
Python software engineering fundamentals
The company's mission is to build open superintelligence and make it accessible to all by developing open weight models

Job Summary

  • The company's mission is to build open superintelligence and make it accessible to all by developing open weight models.
  • The role involves driving model fine-tuning and evaluations for enterprise customers using techniques like SFT and preference optimization.
  • Benefits include top-tier compensation with equity, comprehensive health insurance, fully paid parental leave, and daily provided meals.

Matching Summary

The company's mission is to build open superintelligence and make it accessible to all by developing open weight models.

Salary

Top-tier compensation; Salary and equity structured globally; Not specified

Skills & Requirements

Must-have

  • Applied ML experience with fine-tuning
  • Hands-on SFT, DPO, RLHF techniques
  • Python software engineering fundamentals
  • GPU compute management and debugging
  • Data pipeline preparation and cleaning

Nice-to-have

  • Customer-facing communication skills
  • High agency in startup environments
  • Experience with hybrid deployment environments
  • Ability to define playbooks from scratch

Key Requirements

  • 3+ years of engineering experience
  • Meaningful exposure to applied ML or MLE
  • Shipped fine-tuned models to production

Work Rights

Not specified

Tailored Resume

Cover Letter