Tzafon is an AI research and development firm dedicated to expanding the frontiers of machine intelligence. We operate at the intersection of artificial intelligence and software engineering, combining rigorous research with practical engineering to bring computation closer to the metal.

Our goal is to develop highly efficient and impactful AI solutions that can scale and transform industries.

We recently released our first open-source product; WayPoint, which is a high-performance browser automation infrastructure, enabling instant scalability for thousands of browser instances.

Our upcoming release, Northstar 1.0, will showcase our Large Action Models designed to autonomously interact with user interfaces at scale, driving forward our vision for human-machine collaboration.

Backed by a recent $4M+ pre-seed round led by Streamlined Ventures, our growing team consists of top researchers and engineers from institutions like the University of Cambridge, EPFL, Google, Jane Street, and IMO & IOI medalists. With offices in San Francisco and Tel Aviv, we’re looking to further build our San Francisco presence.

Our Vision: Tzafon's vision is to expand the lightcone of consciousness by advancing the frontiers of machine intelligence, enabling AI systems to interoperate seamlessly and create profound economic impact.

Our Core Values:

• Excellence: We strive for outstanding results and set high standards for ourselves.
• Relentless Focus: We're mission-driven, prioritizing impactful outcomes above all else.
• Hard Work: We believe in dedication, determination, and pushing through challenges.
• Economic Impact: We're committed to making AI practical, deployable, and economically transformative.
• Collaboration: We value open, honest, and transparent collaboration.

What We're Looking For: We're searching for Machine Learning Engineers who thrive on building cutting-edge systems, love pushing technical boundaries, and want to contribute to a bold vision for the future of machine intelligence. You'll collaborate closely with our elite team to scale, deploy, and refine our machine learning models and infrastructures.

Key Responsibilities:

• Develop and scale state-of-the-art machine learning models and infrastructures.
• Contribute to our flagship products, including WayPoint and Northstar.
• Explore new frontiers in Large Action Models and reinforcement learning.
• Collaborate on publishing groundbreaking research.
• Work on research related to memory, multi-agent reinforcement learning, and more efficient sampling techniques.

What Matters to Us:

• Demonstrable passion and experience in machine learning.
• Proven track record through demos of machine learning systems you’ve built or papers you've published.
• Publications in top ML conferences (NeurIPS, ICML, ICLR, etc.) highly valued but not mandatory.

How to Apply: Forget traditional applications. Send us a demo of an ML system you've built or papers you've published (especially at top conferences). Simply reach out at [email protected] or message directly via LinkedIn with your submission.

We value talent, creativity, and tangible impact above all else.