Member of Technical Staff (Models)
Train the models that make our AI Employees better at their jobs.
- Location
- San Francisco
- Team
- Engineering, Models
- Job type
- Full-time
- Experience
- 3+ years of experience
- Visa
- US citizen or visa holder only
About Jarmin
Jarmin builds AI Employees for human-level roles. An AI Employee learns its responsibilities, understands your data, embeds into your systems, and becomes part of your team's day-to-day workflow. Companies hire AI ML Engineers, Account Executives, Paralegals, Financial Analysts, Compliance Analysts, and more.
Our founding team is from Meta Superintelligence Labs (Staff Engineers), Apple (Machine Learning), AWS (scaling infrastructure), Lockheed Martin (Research), and JPMorganChase, with experience building AI and ML systems and automating the complex work of researchers, data scientists, and ML engineers.
We are a Y Combinator Fall 2025 company in San Francisco.
About the role
As a Member of Technical Staff on Models, you'll own the post-training loop that improves the performance of our AI Employees. You will be defining how we train models to do mission critical work in the real world.
Areas you may work in
- Post-training and fine-tuning
- Turning agent traces and expert feedback into training data
- Reward modeling and graders for non-verifiable outcomes
- Distillation into smaller, faster, cheaper models
- Designing and running training experiments
You may be a good fit if you
- Have trained or fine-tuned models and shipped the result into a product
- Have hands-on experience with SFT, preference optimization, or RLHF
- Can read traces and tell whether a metric measures the thing that matters
- Have strong software engineering fundamentals alongside ML depth
- Want to work in person in San Francisco
Even better
- You've adapted open-weight models to a specialized domain
- You've built training data or evaluation infrastructure
- You contribute to open source projects
How we work
- Our core team is in person, resourceful, and building the future we want to live in.
- We give feedback early and often, so you always know where you stand and where you're headed.
Interested?
Applications are handled on Work at a Startup. If you have a question before applying, write to careers@jarmin.ai.