G

Senior Machine Learning Engineer & CTO Track (ML Systems & Reinforcement Learning)

general creative • San Francisco Bay Area
Relocation
Apply
AI Summary

Lead the ML and systems engineering for General Creative’s AI video marketplace, designing reward modeling, RL environments, and production pipelines. Own end-to-end ML infrastructure, ship weekly applied work, and mentor a technical team with potential CTO promotion. Requires frontier AI lab experience, hands-on RLHF, and production-grade Python/TypeScript/Go expertise.

Key Highlights
Leadership role with potential CTO track and high equity/cash upside ($500K–$1M base)
End-to-end ownership of ML systems: reward modeling, RL environments, and live marketplace data pipelines
Hands-on applied work with weekly shipping, not theoretical research
Key Responsibilities
Design and implement reward modeling for contest preference data to optimize creative output
Build and maintain RL environments for live marketplace data, including post-training and reinforcement loops
Develop backend systems and data pipelines to feed ML models, ensuring weekly production deployments
Lead a technical team with mentorship and scalability focus, with potential CTO promotion path
Predict contest wins using ranking data and engagement signals
Technical Skills Required
Reinforcement Learning (RL) Reward Modeling Python
Benefits & Perks
$500,000 – $1,000,000 base salary
Significant double-digit equity compensation
In-person relocation assistance (SF Bay Area)

Job Description


Company Description


General Creative is a marketplace platform where brands and professional AI video creators run fast iterative loops on content. Creators compete in structured challenges, brands test what performs, and every contest throws off rankings, preference data, and engagement signal. The whole platform is one large optimization loop over creative output, and the ML side of it is still unbuilt.


The right person for this role will have a leader mentality / experience, be hands-on with building, and a quick learner open to solving unique challenges and fluctuating goals.


Role Description


Member of Technical Staff. Full-time, in person, San Francisco Bay Area. You own the ML and systems side end to end: post-training and RL on live marketplace data, reward modeling on contest preference data, win prediction on rankings, plus the backend and pipelines that feed it. This is applied work that ships weekly, not just multi-year research.


We are looking for someone to lead our engineering team, with high equity + cash upside, and are open to promoting to CTO for the right candidate.


Qualifications


  • Currently or recently at a frontier lab or an equivalent top AI team.
  • Hands-on RLHF, reward modeling, or RL environments experience.
  • Has shipped. Production code in Python, TypeScript, or Go, comfortable owning infra and data pipelines.
  • In person in SF, full time. If not in SF, willing to relocate.


Compensation


$500,000 – $1,000,000 base salary, plus significant double-digit equity.


Similar Jobs

Explore other opportunities that match your interests

Visa Sponsorship Relocation Remote
Job Type Full-time
Experience Level Mid-Senior level

weengage group | b corpâ„¢

San Francisco Bay Area

Software Engineer for Founders Initiatives

Programming
•
4h ago

Premium Job

Sign up is free! Login or Sign up to view full details.

•••••• •••••• ••••••
Job Type ••••••
Experience Level ••••••

retell

San Francisco Bay Area
Visa Sponsorship Relocation Remote
Job Type Full-time
Experience Level Mid-Senior level

intelix.ai

San Francisco Bay Area

Subscribe our newsletter

New Things Will Always Update Regularly