As an ML Engineer, you will wear multiple hats across our ML pipeline, including: solution architecting of AI/ML based solutions, CI/CD practices, DevOps, MLOps principles, data pipelines and data cleansing. The role will revolve around developing & productionising ML prototypes developed at Tenyks, and integrating them into the Tenyks product.
This will involve working directly with the product manager, software engineers, and ML Research Engineers in order to understand why a given feature is required and how best to implement & integrate it into the Tenyks Product.
We are a small but dedicated team and expect everyone to be self-driven, comfortable working in our dynamic and fast-paced environment, and embrace the challenges we face.
Tenyks is a YCombinator University of Cambridge spin-out inventing the way humanity interacts with AI to protect the world from the Terminator! But also to ensure that AI is developed with passion, excitement, and joy! We are building an MLOps monitoring and validation platform that helps AI developers working with computer vision data to build more reliable software faster. Specifically, our platform helps ML developers understand what's wrong with their software and fix it. Imagine all of the tools you use to code, but for AI!
At Tenyks we set our goals ridiculously high and stick together to go further than anywhere previously imaginable. We start small, work hard, and deliver fast, embracing the inevitable obstacles with open hearts because challenges fuel our burning desire for learning. Tenyksians make no distinctions between work and play. We simply pursue our vision of excellence, leaving others to decide whether we are working or playing.
We are a remote-first team, consisting of 3 PhDs and 1 MPhil in Explainable AI that has now raised several million dollars from leading UK, EU, and BG investors (more on this soon!).
We are looking for 10x engineers who are yearning for a challenge worthy of their skills.