RemoteParis, San Francisco Bay Area, Remote (Europe, US, Canada, UK)
Remote • Paris, San Francisco Bay Area, Remote (Europe, US, Canada, UK)
Who you are
Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.
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You are expected to meet at least one of the following criteria:
You have published at least one paper at NeurIPS, ICLR, or ICML - where you were the lead author or made significant conceptual & code contributions
You have significantly contributed to an LLM training effort which became newsworthy (topped a Huggingface benchmark, best in class model, etc.), preferably using multiple GPU's
You have spent at least 6 months working in a leading Machine Learning research center (e.g. at: Google Brain / Deepmind, Apple, Meta, Anthropic, Nvidia, MILA)
You were an ICPC World Finalist, or an IOI, IMO, or IPhO medalist in High School
A deep learning researcher, with a track record in Language Models and/or RL (candidates with a Vision or Robotics ML background are also welcome to apply)
Interested in improving foundational architectures and creating new benchmarks
Experienced at hands-on experiments and model training (PyTorch, Jax, or Tensorflow)
Have a good understanding of GPU architecture, memory design, and communication
Have a good understanding of graph algorithms
Have some familiarity with model monitoring, git, build systems, and CI/CD
Respectful of others
Fluent in English
Knowledge of approaches used in distributed training
Familiarity with Triton
Successful track-record in algorithms & data science contests
Showing a code portfolio
What the job involves
This is an R&D position in attention-based models
We are currently searching for 1 or 2 R&D Engineers with a strong track record in machine learning models research
This is an extremely ambitious foundational project. There is a flexible GPU budget associated with this specific project, guaranteed to be in the 7-digit range minimum
Perform (distributed) model training
Help improve/adapt model architectures based on experiment results
Design new tasks and experiments
Optionally: oversee activities of team members involved in data preparation
The results of your work will play a crucial role in the success of the project
The application process
It's always a pleasure to say hi! If you could leave us 2-3 lines, we'd really appreciate that
Benefits
Intellectually stimulating work environment. Be a pioneer: you get to work with a new type of data processing framework
Work in one of the hottest data/AI startups in France, with exciting career prospects
Responsibilities and ability to make significant contribution to the company’ success