Head Of Research Jobs

Our client is a Series C ($95 mill), AI cloud-based ML platform,

founded by ex-Google, Amazon, IIT, Dartmouth team and funded by

Decibel Ventures and Eric Schmidt.Our client 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 based 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, Abacus.AI has developed techniques to train custom neural networks that outperform classical models and are easily

automated.

For custom, highly specific models, client offers a state-of-theart 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. Client has been adopted by world-class organizations including several Fortune 500

companies.

Headquartered in San Francisco, we are funded by Mike Volpi from Index Ventures, Eric Schmidt (ex-CEO and Chairman of Google), Ram Shriram (board member of Google), Coatue, Khosla Ventures, and others. Our founding team of AI scientists and ML engineers have

degrees (many of them Ph.Ds) from premier universities such as

Stanford, MIT, CMU, UC Berkeley, Dartmouth, and IIT and have

shipped high profile products at Google, Amazon Web Services, and

Uber.

About the Position:

-P.hD from a top school

- Should have 4-5 years industry or academic experience

-Track record for publications in top conferences

- research in any of the following areas - LLMs, recommender systems, forecasting, tabular data, meta learning, RL etc.