My series A client has a vision is to build the next gen ML Data Intellegence platform for unstructured data (NLP, Computer Vision, and GenAI)

They were established in 2021 by Engineering Leaders who previously worked at Google AI and Uber AI. With over a decade of experience in developing advanced Machine Learning systems at Google, Uber, and Apple, the founders established the company based on their extensive expertise gained from building some of the largest ML Platforms globally.

Highlights:

• Series A with over $30M in funding
• HQ in SF/New York but happy for remote employees
• Your Role: Foundational role in designing, building, and scaling their build and deployment systems.

Minimum Qualifications:

• 3 years minimum of relevant work experience
• Strong experience with Kubernetes and/or related container orchestration systems
• Worked with Jenkins, Github Actions as well as other systems and tools to streamline CI/CD processes
• Strong experience with Python
• Experience building backend services and APIs (in Python)

We’re looking for an exceptional software engineer, interested in solving complex problems at the intersection of Data and ML.

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