Machine Learning Engineer
About TitanML
We are building an NLP optimisation and compression platform to make it easier for businesses to deploy powerful NLP models.
You should apply if…
You like building impactful solutions to very difficult problems
You like working independently and owning projects end-to-end
About the role:
You will be doing a combination of software development and AI/ML exploration, with the goal of integrating new developments from the deep learning literature into our fast-evolving product, to build the best NLP optimisation solution on the market.
You will be reading, implementing, and integrating the latest deep-learning research into the TitanML product.
You will work directly with the founders to drive engineering development.
You’ll be one of the first employees so a huge opportunity to carve out meaningful responsibility and ownership.
You will help individual customer projects. Handle priorities, deadlines, and deliverables, and conduct frequent interactions with our customers’ highly-skilled deep learning engineers and scientists.
MSc or equivalent
Extensive experience with Python and also the python data science stack, including PyTorch/Tensorflow.
You are happy working independently and taking full ownership of project
Bonus points if…
You have experience working in a startup environment and/or taking significant ownership of projects
You have experience with the wider high performance deep-learning ecosystem, including CUDA, Triton, Rapids, TVM, etc.
You have experience creating deep-learning / NLP software and pipelines.
You have experience with any of Kubernetes, Docker, CI/CD pipelines, Python web frameworks e.g. Django.
💰Competitive salary
🚀Meaningful equity - you’ll be one of the first employees and will be instrumental to TitanML’s growth!
🤙🏾Hybrid working - with weekly office days in central London
🦾Responsibility and ownership
😄Close-knit team
🦄+ Lots of other perks