Backend / ML Engineer
Full-time On-site San Francisco CA
About the Role
Were hiring 23 Backend / ML Engineers to build and scale the core machine learning engine powering intelligent automation for complex document and data workflows.
Youll report directly to the founding leadership and work in person from the San Francisco office.
This is a high-impact opportunity to join at an early stage take full ownership of major systems and directly influence product direction and technical architecture.
What Youll Do
- Lead development of the ML-powered document extraction engine leveraging LLMs and OCR.
- Architect backend systems optimized for scalability reliability and performance.
- Build and deploy new automation features that streamline operational workflows.
- Collaborate cross-functionally with leadership on product design and user experience.
- Establish engineering best practices and contribute to the long-term technical roadmap.
Who You Are
- 26 years of backend or ML engineering experience ideally in high-ownership or startup environments.
- Strong backend development expertise in Python.
- Proven 01 builder with a history of launching projects or systems from scratch.
- Comfortable working in-person 5 days/week in San Francisco.
- Willing to complete a short technical take-home as part of the interview process.
Bonus Points For:
- Experience with LLMs OCR or data extraction pipelines.
- Exposure to AI infrastructure evaluation frameworks or distributed systems.
Why Join
- High ownership: Drive end-to-end product and infrastructure decisions.
- Significant equity: 0.5%1% with potential to increase based on milestones.
- Growth opportunity: Build core systems and processes as the company scales.
- Perks: Top-tier healthcare daily team lunches and a fast-paced collaborative environment.
Work Environment
- Location: On-site in San Francisco (5 days/week)
- Culture: Focused high-performance environment built for fast iteration and execution
- Collaboration: Direct access to decision-makers minimal bureaucracy and a bias for action
Tech Stack
Python LLMs Data Extraction
Ready to take the next step
Apply now or email Jenn at to learn more.
Backend / ML EngineerFull-time On-site San Francisco CAAbout the RoleWere hiring 23 Backend / ML Engineers to build and scale the core machine learning engine powering intelligent automation for complex document and data workflows. Youll report directly to the founding leadership and work in perso...
Backend / ML Engineer
Full-time On-site San Francisco CA
About the Role
Were hiring 23 Backend / ML Engineers to build and scale the core machine learning engine powering intelligent automation for complex document and data workflows.
Youll report directly to the founding leadership and work in person from the San Francisco office.
This is a high-impact opportunity to join at an early stage take full ownership of major systems and directly influence product direction and technical architecture.
What Youll Do
- Lead development of the ML-powered document extraction engine leveraging LLMs and OCR.
- Architect backend systems optimized for scalability reliability and performance.
- Build and deploy new automation features that streamline operational workflows.
- Collaborate cross-functionally with leadership on product design and user experience.
- Establish engineering best practices and contribute to the long-term technical roadmap.
Who You Are
- 26 years of backend or ML engineering experience ideally in high-ownership or startup environments.
- Strong backend development expertise in Python.
- Proven 01 builder with a history of launching projects or systems from scratch.
- Comfortable working in-person 5 days/week in San Francisco.
- Willing to complete a short technical take-home as part of the interview process.
Bonus Points For:
- Experience with LLMs OCR or data extraction pipelines.
- Exposure to AI infrastructure evaluation frameworks or distributed systems.
Why Join
- High ownership: Drive end-to-end product and infrastructure decisions.
- Significant equity: 0.5%1% with potential to increase based on milestones.
- Growth opportunity: Build core systems and processes as the company scales.
- Perks: Top-tier healthcare daily team lunches and a fast-paced collaborative environment.
Work Environment
- Location: On-site in San Francisco (5 days/week)
- Culture: Focused high-performance environment built for fast iteration and execution
- Collaboration: Direct access to decision-makers minimal bureaucracy and a bias for action
Tech Stack
Python LLMs Data Extraction
Ready to take the next step
Apply now or email Jenn at to learn more.
View more
View less