Member of Technical Staff, Post-Training

Engineering · Frontier Systems
San Francisco, United States
Principal
On-site

Job Overview

Post-training is where a raw model becomes something people can actually rely on. You will design and run the fine-tuning and reinforcement learning pipelines that shape our flagship models, build the evaluations that tell us whether they got better, and decide what ships.

Responsibilities

  • Design and run supervised fine-tuning and reinforcement learning pipelines at scale
  • Build evaluations that measurably distinguish model quality, not just vibes
  • Investigate regressions in model behaviour and drive them to root cause
  • Set the technical direction for how flagship models are shaped before release

Qualifications

  • Deep experience training or fine-tuning large language models
  • Strong grounding in reinforcement learning from human or AI feedback
  • Track record of building evaluations that survive contact with reality
  • Comfortable owning ambiguous, high-stakes technical decisions

Compensation & Benefits

This position has an estimated salary range of $400,000.00 - $575,000.00 per year, plus potential equity and bonus.

Key skills

PyTorch
RLHF
distributed training
Python
evaluation design

Compliance Information

Equal Opportunity: Northwind is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.

Hiring Disclosure: We are committed to providing equal employment opportunities to all employees and applicants for employment.

Labor Law Reference: Fair Labor Standards Act (FLSA), Title VII of the Civil Rights Act of 1964

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