Member of Technical Staff, Synthetic Data

About Typesafe

TypeSafe is a frontier model lab focused on building reliable and general AI systems for economic automation. Our mission is to bring about a new era of Transformative Artificial Intelligence (TAI), technology capable of societal shifts akin to the agricultural and industrial revolutions. We are rethinking the LLM stack from first principles, aiming to create a model that operates reliably in the real world.

About the Role

We seek scrappy engineers who can rapidly develop data-tooling interfaces and products. Your work will involve unlocking new capabilities using datasets, products, and user interfaces built on our models. You will also contribute to internal data-tooling and evaluation interfaces, developing and owning evaluation frameworks, and iterating on model behavior through rigorous analysis and experimentation.

• Create high-leverage datasets, products, and user interfaces that unlock new capabilities and use cases on top of our model
• Build internal data-tooling and evaluation interfaces — fast — that make model development clearer (evaluation, debugging, data inspection)
• Develop and own evaluation frameworks to measure quality, reliability, and emergent characteristics across model iterations
• Run rigorous analyses and experiments to understand how data, training choices, and targeted interventions impact model behavior
• Turn raw model outputs and data into clear, inspectable UIs — owning a domain end-to-end, with craft and judgment over simple optimization
• Partner closely with product managers and customers to translate real-world needs into concrete model and system improvements
• Continuously iterate, learn, and co-discover new techniques for building exceptional, trustworthy AI products

What You'll Do

As a member of our team, you will:

• Create high-leverage datasets, products, and user interfaces that unlock new capabilities and use cases on top of our model
• Build internal data-tooling and evaluation interfaces — fast — that make model development clearer (evaluation, debugging, data inspection)
• Develop and own evaluation frameworks to measure quality, reliability, and emergent characteristics across model iterations
• Run rigorous analyses and experiments to understand how data, training choices, and targeted interventions impact model behavior
• Turn raw model outputs and data into clear, inspectable UIs — owning a domain end-to-end, with craft and judgment over simple optimization
• Partner closely with product managers and customers to translate real-world needs into concrete model and system improvements
• Continuously iterate, learn, and co-discover new techniques for building exceptional, trustworthy AI products

Qualifications

• Generalists (~2–7 years) with solid fundamentals, strong coding ability, and product intuition
• Maintain high attention to detail and a strong bar for quality
• Enjoy thinking beyond the code to how systems are used in the real world
• Scrappy and hacky, thriving in ambiguous problem spaces — taking satisfaction in finding creative solutions
• Don't trust LLMs blindly — they look at the reality of model generations
• Hands-on experience implementing LLMs and understanding their capabilities and limitations

Lifestyle at TypeSafe

We are a small, flat, close-knit team dedicated to real-world impact, preparing the world for Transformative AI. Our team works fully in-person in our San Francisco office near Embarcadero station. We value emotional honesty, kindness, and bringing your whole self to work. We build machines; we don't try to be machines.

Benefits

We provide:

• Base salary of $180k–280k plus equity, based on leveling
• 100% covered health insurance
• Daily lunch and dinner
• Visa sponsorships
• 401K plans