Chai

HQ
Santa Clara, California, USA
52 Total Employees
Year Founded: 2013

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Jobs at Chai

Search the 7 jobs at Chai

Recently posted jobs

2 Days Ago
Palo Alto, CA, USA
Biotech
As a UI/UX Engineer, you will streamline the design and branding of Chai's application, making high-impact decisions and translating designs into code using your expertise in programming and design tools. You will work in a collaborative environment focused on growth and innovation.
2 Days Ago
Palo Alto, CA, USA
Biotech
The candidate will be responsible for building scalable infrastructure and contributing to the growth of the engineering team. This role requires both independent decision-making and input on high-impact projects as the company scales its user base.
2 Days Ago
Palo Alto, CA, USA
Biotech
Join Chai as a Software Engineer focusing on front-end development. You'll be responsible for maintaining high standards of UX and code quality while implementing advanced AI inference engines. Ideal candidates should have over 3 years of experience and be familiar with Flutter and Python.
2 Days Ago
Palo Alto, CA, USA
Biotech
The Software Engineer VI will lead and grow the engineering team, oversee the development of scalable infrastructure, and drive high-impact decisions to shape the company's future, all while contributing to both frontend and backend development.
2 Days Ago
Palo Alto, CA, USA
Biotech
As an AI Safety Researcher at Chai, you will implement safety metrics and alignment techniques to enhance large language models (LLMs). You will be responsible for making high-impact decisions and collaborating with a team of talented researchers in a high-velocity environment.
2 Days Ago
Palo Alto, CA, USA
Biotech
As a Staff ML Infra Engineer, you will design and develop scalable machine learning infrastructure and guide the engineering team through rapid growth. Your role will involve high-impact decision-making to support the company's ambitious growth targets.
9 Days Ago
Palo Alto, CA, USA
Biotech
As an AI Research Engineer, you will optimize large language models (LLMs) to ensure they are performant, scalable, and cost-efficient. You will collaborate with a team to implement cutting-edge AI inference engines and make high-impact decisions for the company's future.