As an ML Engineer, you will wear multiple hats across our ML pipeline, including implementing and incorporating state-of-the-art research methods into the product, setting up core data processing infrastructure, and applying the product on customer datasets and models.
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.
Your mission
Develop and train state-of-the-art deep learning and Explainable AI research methods
Build interfaces between deep learning models and explainable AI approaches
Reimplement existing methods and ensure they scale to real-world dataset sizes
Deploy and stress-test our methods in customer settings
Be on top of the latest research (ICML, ICLR, NeurIPS) constantly look for ways to use ML to serve our customers
What you need to succeed
2 - 3 years of professional experience turning ML research into production-grade code within Computer Vision, Explainable AI, or Active learning
proficiency with at least 1 deep learning framework (Tensorflow, Keras, PyTorch, etc)
Proficiency with Python and basic machine learning libraries (scikit-learn, numpy, scipy, pandas, etc)
Familiarity with Linux and bash commands
Ability to turn ideas into deeply reliable and well tested code that six months into the future other people will find easy to comprehend and modify.
Passion for learning and applying new research.
PhD or MS degree in Computer Science, Statistics, Applied Math, Electrical Engineering, Operations Research, Econometrics, or other related fields.
Excellent communication, relationship skills, and a great teammate.
Preferably based in UK or Europe
About Us
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, founded by Cambridge & Oxford PhDs and MPhil in Explainable AI & Computer Vision that has now raised $3.4 million dollars from leading UK, EU, and BG investors.
Recently, the Tenyks was featured in Forbes 30U30 Europe Technology List, Sifted’s Rising star in Gen AI, and the University of Cambridge recognised it with its Company of the Year Award (an award won by Deep Mind in 2014).
We are looking for 10x engineers who are yearning for a challenge worthy of their skills.
How to Apply
Send an email with your CV to our wonderful Head of Talent Georgia at georgia.mason@tenyks.ai
Subject line: Tenyksian Reporting for Duty
