Tzafon is a foundation model lab building scalable compute systems and advancing machine intelligence, with offices in San Francisco, Zurich & Tel Aviv. We’ve raised over $12m in funding to advance our mission of expanding the frontiers of machine intelligence.
We're a team of engineers and scientists with deep backgrounds in ML infrastructure & research. Founded by IOI and IMO medalists, PhDs, and alumni from leading tech companies, we train models and build infrastructure for swarms of agents to automate work across real-world environments.
You'll work between our product and post-training teams to ship Large Action Models that actually work. Build evals, benchmarks, and fine-tuning pipelines. Define what good model behavior means and make it happen at scale.
What you'll do
Build evaluation infrastructure for agent systems
Create benchmarks that measure real capability
Design data pipelines for behavioral data collection and analysis
Implement fine-tuning pipelines (wandb, distributed training infrastructure)
Work with post-training team on RLHF and behavioral optimization
Build tools for model introspection and capability mapping
Ship continuous evaluation systems that catch regressions before users do
We're looking for
Expert-level at Python and ML frameworks (PyTorch)
Deep experience with LLM fine-tuning and evaluation infrastructure
Track record of shipping ML systems to production
Strong opinions on what makes a good eval
Experience with wandb, MLflow, or similar experiment tracking
Early-stage equity in a future-defining company
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
Compensation starts at $150k-$400k + equity package, depending on experience & location.
We also offer a referral bonus of $5k for referral of successful hires (send to careers@tzafon.ai).