Machine Learning Researcher / Engineer (Foundational Models) Ajouter aux favoris
- 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.
Cover letter It's always a pleasure to say hi! If you could leave us 2-3 lines, we'd really appreciate that. 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.
- Join an intellectually stimulating work environment.
- Be a pioneer: you get to work with a new type of "Live AI" challenges around long sequences and changing data.
- Be part of one of an early-stage AI startup that believes in impactful research and foundational changes.
- Type of contract : Full-time, permanent
- Preferable joining date : Immediate. The positions are open until filled - please apply immediately.
- Compensation : six-digit annual salary based on profile and location + Employee Stock Option Plan .
- Location : Remote work. Possibility to work or meet with other team members in one of our offices: Palo Alto, CA; Paris, France or Wroclaw, Poland. Candidates based anywhere in the EU, UK, United States, and Canada will be considered.
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