AI Research Engineer at code-metal | Palo Alto, California

code-metalPalo Alto, California, United States
Hybrid Full-time

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Experience Level

Entry Level

Qualifications

Requirements:Ph. D. in Computer Science or a closely related discipline. Demonstrated experience in LLM research. Proficiency in Python programming and familiarity with frameworks such as PyTorch and HuggingFace. Preferred Qualifications:Publications in reputable peer-reviewed conferences like NeurIPS, ICLR, ICML, etc. Experience with large-scale LLM training, especially in a distributed computing environment.

About the job

At code-metal, we are on a mission to revolutionize hardware deployment by matching the rapid pace of software development. Our innovative work focuses on automatic code transpilation and optimization for diverse hardware applications.

As an AI Research Engineer, you will work alongside a dynamic team of researchers, tackling groundbreaking projects in generative AI and reinforcement learning.

Core Responsibilities:

  • Independently design, execute, and analyze complex experiments.
  • Contribute to the development of core models and frameworks.
  • Generate high-quality datasets, both real-world and synthetic.
  • Conduct literature reviews and implement cutting-edge techniques from research papers.
  • Engage in the publication process and present findings at conferences and workshops.

Research Areas of Interest:

Our current and near-term research focuses include:

  • Contrastive representation learning
  • Steerability and guided decoding
  • Tractable probability models
  • Code-specific architectures
  • LLM fine-tuning, post-training, RLHF

About code-metal

code-metal is at the forefront of AI innovation, dedicated to bridging the gap between hardware and software. By leveraging cutting-edge research and development, we aim to create solutions that enable seamless integration of AI technologies into hardware applications.

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