Backend Engineer

About Us

Our client is a Series C ($95 mill) AI/ML startup, backed by Tiger Global, Decibel Ventures, Eric Schmidt. The founders have a wealth of experience working on various ground-breaking products including self-driving cars, AWS AI services, G-Mail, Google Docs, and flash storage systems. They are ex-Google, Amazon, IIT, Dartmouth team.

It is the world’s first cloud AI platform that handles all aspects of machine and deep learning at enterprise scale. For repeatable use-cases such as churn prediction, time-series forecasting and deep-learning base

d personalization, we offer an extremely customizable end to end autonomous AI service where our expert AI agents wrangle data, train machine and deep learning models and monitor them in production. In addition to all available open source algorithms, It has developed techniques to train custom neural networks that outperform classical models and are easily automated.

For custom, highly specific models, they offers a state-of-the-art toolset that allows ML practitioners and data science teams to wrangle data, build real-time machine and deep learning features, upload ipython notebooks, monitor model drift, and set up CI/CD for machine learning systems. Our MLOps infrastructure helps you go to market, 10x faster than any other industry leading platform.

Our intuitive UX and holistic platform saves you from orchestrating across multiple services, constantly reinventing the wheel, and having to deal with hard scale problems. They has been adopted by world-class organizations including several Fortune 500 companies.

Job Requirements

• 4-8 years of software engineer experience

• BS CS (preferably from top program; really great employer could compensate)

• Have 2-3 years’ experience being responsible for a system in production involving large data, high requests per second (big tech/mid-size companies with a lot of traction like data bricks/snowflake)

• Experience with some sort of cluster management software/large cloud deployments