Pathwaycom
Machine Learning Researcher / Engineer (Foundational Models)
Palo Alto, California, United States · Full-time
Sponsorship not specifiedDetected 250 days ago
AlgorithmsGitMachine LearningDeep LearningTensorFlowPyTorchData ScienceNLPLLMsRoboticsResearch
About the role
- 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.
Responsibilities
- 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.
- Have a good understanding of GPU architecture, memory design, and communication.
- You have published at least one paper at NeurIPS, ICLR, or ICML - where you were the lead author or made significant conceptual & code contributions.
- Have some familiarity with model monitoring, git, build systems, and CI/CD.
Compensation
- six-digit annual salary based on profile and location + Employee Stock Option Plan.
Benefits
- 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 Are 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).
- Respectful of others Fluent in English Bonus Points Knowledge of approaches used in distributed training.
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This listing is sourced directly from Pathwaycom's careers page and normalized into a canonical job model.