about 1 month ago
Base Salary
$180k - $300k/yr
Responsibilities
- Own the ML stack end-to-end, evaluating and fine-tuning models.
- Develop brand-aligned generation systems for tone, color, and style fidelity.
- Build internal evaluation frameworks to measure generation quality.
- Rapidly prototype and ship productized APIs for content generation.
- Collaborate with design and marketing to define brand alignment.
- Build data pipelines connecting engagement metrics to model tuning.
Requirements
- Strong Python and ML engineering background, including PyTorch and transformers.
- Minimum 5 years of hands-on experience with open-source model fine-tuning.
- Deep familiarity with modern inference and training tools like LoRA and Hugging Face.
- Portfolio demonstrating creative use of generative models across mediums.
- Comfortable operating across research, engineering, and product.
- Familiarity with TypeScript/Next.js is a plus.
- Located in or willing to relocate to the Bay Area for occasional in-person collaboration.
Benefits
- Unlimited PTO and rich health/401(k) plans.
- Meeting-light culture and remote stipend.
- Biannual retreats and a collaborative work environment.
- Opportunity to work on-site in San Francisco on Tuesdays and Thursdays.