Solution Engineer in a fast growing AI Startup

At the ETH spin-off Lightly, we build software solutions to help companies improve their deep learning models. The available data for deep learning grows faster than human tagging and available compute power. Our customers already face this problem and have too much data to process. As a solution, we built software to identify and work with the most relevant samples only. We are a team of talented developers and researchers in Zurich and are backed by top investors (we will announce our fundraising soon). Every member of the team is going to have a massive impact. Thus, we are looking for an experienced engineer with lots of passion for the subject. We offer attractive cash- & equity package for you to become part-owner of Lightly. Remote work is also possible. Lightly AG works in the field of machine learning and computer vision. Its products are used by leading companies in autonomous driving, medical imaging, and visual inspection to curate visual machine learning data. Lightly consists of a small team of talented software engineers, researchers, and business developers in Zurich, Prague, and San Francisco, who all have a massive impact on the business and product. This job offers you the perfect opportunity to join a Y-Combinator-funded company. As an early hire, you will have a significant impact on our company. The position entails various tasks around building up and executing sales as well as partnerships. Some of the key responsibilities are: Present Lightly’s technology and vision to prospective executives and technical contributors as well as customers Work hands-on with prospects and customers throughout the entire sales cycle (from demo to proof of concept to design and implementation) to demonstrate and communicate the value of Lightly's technology Collaborate with Product Management, Engineering, and Marketing to continuously improve Lightly’s products and marketing We use a modern stack of: PyTorch, Python, and C++ for machine learning Typescript, React and NodeJS for our frontend and backend Docker, Kubernetes, Terraform Google Cloud Platform, AWS PyTorch, Python, and C++ for machine learning Typescript, React and NodeJS for our frontend and backend Docker, Kubernetes, Terraform Google Cloud Platform, AWS