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Roles
Compensation
Compensation is competitive with early-stage AI startups, and includes meaningful equity in TypeSafe’s future.
- Salary period
- unclear
- Location basis
- unclear
- Equity
- meaningful equity
Benefits
- full health benefits
- 401(k)
- ergonomic desk setup
- catered meals and snacks
Tech stack
Location
San Francisco
Work setup
- Employment
- full-time
- Level
- unclear
- Remote policy
- ONSI TE (San Francisco)
- Remote scope
- onsite
- Travel
- unclear
- Visa
- unclear
- Authorization
- unclear
Role details
Responsibilities
- Join the Synthetic Data research team
- Care deeply about end use cases
- Do not trust LLMs blindly and look at the reality of generations
- using AI to solve real world problems reliably
Requirements
- No previous data experience needed (synthetic or otherwise)
- Strong engineers who care deeply about end use cases
- Instincts to NOT trust LLMs blindly and look at the reality of their generations
Application
See open roles here.
- Portfolio
- unclear
- GitHub
- unclear
- Cover letter
- unclear
- Apply flow
- unclear
Company context
Enable a reliable way to embed composable intelligence into traditional software
- Product
- AI models enabling reliable embedding of composable intelligence into traditional software
- Industry
- unclear
- Stage
- stealth mode
- Funding
- well-funded
Description
TypeSafe AI is a well-funded stealth mode company making a new class of AI models which enable a reliable way to embed composable intelligence into traditional software. The role is onsite (San Francisco) and is looking for people to join the Synthetic Data research team. No previous data experience is needed. The company needs strong engineers who care deeply about end use cases and whose instincts are to not trust LLMs blindly and to look at the reality of their generations.
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