Our client is a stealth startup building a cutting edge cloud AI service.  The founders have a wealth of experience working on various ground-breaking products including self driving cars, AWS AI services, GMail, Google Docs and flash storage systems. They have also previously been founders and early employees at startups.

We are looking for talented machine learning software engineers, systems software engineers and research scientists to be part of the founding team. You will help build the product that applies unsupervised learning to model the world and automatically creates and manages production grade AI systems. As an initial member of the founding team, you get to own a significant chunk of the company, shape its culture and work on state-of-the-art science and technology.

Software Engineer - Backend/Infrastructure

Responsible for building out a cloud runtime for an AI engine that automates various aspects of an ML/AI system workflow including feature pipelines, model training and a real-time multi-tenant inference system.

Candidates will need to have a BACHELORS OR MASTERS IN SCIENCE FROM TOP NOTCH COMPUTER SCIENCE PROGRAMS from TOP TEN COMPUTER SCIENCE UNIVERSITY with OVER 4 YEARS OF INDUSTRY EXPERIENCE.

We are looking for excellent backend / systems software engineers who have experience building at least one of the following:

• Large scale backend systems used by consumer or high volume enterprise services
• Cloud data processing platforms in production
• Large scale machine learning pipeline infrastructure

Experience building production applications which use Machine Learning / Artificial Intelligence is a plus.

The IDEAL CANDIDATE is someone who has done research / published papers in one of the following areas:

• Unsupervised Learning Generative Modeling
• Deep Neural Networks
• Deep Reinforcement Learning
• Generative Adversarial Networks
• Causal Reasoning

Ideal candidates would be able to rapidly iterate on new ideas with engineers, potentially publish at top conferences and be able to write code.

#ZR