Machine Learning Researcher

il y a 1 jour

Paris, France Pathway Temps plein

**About Pathway**: Pathway is building LiveAI systems that think and learn in real time as humans do. Our mission is to deeply understand how and why LLMs work, fundamentally changing the way models think. Pathway has strong investor backing. To date, we have raised over $15M; our latest reported round was our seed. Our offices are located in Palo Alto, CA, as well as Paris, France, and Wroclaw, Poland. ***The Opportunity**: **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. **You Will**: - 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.** **Requirements**: **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. **You Are**: - **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 **Bonus Points**: - Knowledge of approaches used in distributed training. - Familiarity with Triton - Successful track-record in algorithms & data science contests. - Showing a code portfolio. **Why You Should Apply**: - **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. **Benefits** - **Type of contract**: Full-time, permanent - **Compensation**: six-digit annual salary based on profile and location + **Employee Stock Option Plan**. If you meet our broad requirements but are missing some experience, don’t hesitate to reach out to us.

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