P

R&D ML Engineer

Pathway • France
Full Remote
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Join Pathway as an R&D Engineer working on attention-based models and foundational AI architecture research. You will perform distributed model training, improve/adapt model architectures based on experiment results, and design new tasks and experiments. Requirements include publications at top ML venues, LLM training experience, fluency in PyTorch/Jax/Tensorflow, and deep learning expertise.

Key Highlights
R&D position in attention-based models with 7-digit GPU budget minimum
Must have published at NeurIPS/ICLR/ICML or contributed to newsworthy LLM training or spent 6+ months at top ML research centers
Remote work with offices in Palo Alto, Paris, and Wroclaw; candidates in EU, UK, US, and Canada considered
Key Responsibilities
Perform distributed model training
Help improve/adapt model architectures based on experiment results
Design new tasks and experiments
Oversee activities of team members involved in data preparation
Technical Skills Required
Deep Learning Model Training PyTorch/Jax/TensorFlow
Benefits & Perks
Six-digit annual salary
Employee Stock Option Plan
Remote work
Flexible GPU budget
Nice to Have
Knowledge of approaches used in distributed training
Familiarity with Triton
Successful track-record in algorithms & data science contests
Showing a code portfolio

Job Description

About Pathway

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