Machine Learning Research Scientist

Menlo Park, CA

Voltai

Foundation model for electronics

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About Voltai: Voltai is a Sequoia-backed AI company building agentic systems and frontier foundation models for semiconductor and electronics design. We're the fastest-growing and highest valued company in this space, with over 70% of the top semiconductor market already working with us. Our world-class team includes Stanford professors, Olympiad medalists, and the ex-CTO of Synopsys; our business leadership has scaled revenue in their previous companies to over $1.5B.
Key Responsibilities:
  • Conduct original research in machine learning and AI with a focus on models that integrate multiple modalities.
  • Develop, train, and fine-tune large language models (LLMs) and multi-modal models (MMMs).
  • Explore and scale trillion-parameter neural networks, along with smaller, specialized models.
  • Design and implement models capable of solving discrete and continuous constraint reasoning tasks and graph-related challenges.
  • Develop and evaluate interconnected systems comprising LLMs, NLP models, and retrieval algorithms.
  • Publish research findings in top AI conferences and journals, contributing to the academic and industry community.
  • Collaborate with cross-functional teams to translate research outcomes into practical applications.
  • Innovate and create data synthetically and collect it from human interactions for diverse tasks.
  • Lead efforts in optimizing both open-source and proprietary models, considering various constraints.

Required Skillsets:
  • Strong background in machine learning, including sequence modeling, generative models, and model architecture.
  • Expertise in Pytorch, Python, CUDA, and Triton.
  • Proven research experience with a strong publication record in top AI conferences and journals.
  • Deep understanding of pre-training and fine-tuning large multi-modal models.
  • Experience implementing research papers into production code.
  • Familiarity with the latest state-of-the-art techniques, including prompting and inference-time search methods.
  • Experience in developing and managing large-scale machine learning systems.
  • Proficiency in configuring and optimizing hardware and operating systems for maximum performance.
  • Experience building distributed training systems for AI models in high-performance computing (HPC) clusters.


Our Benefits
  • Unlimited PTO: We trust you to manage your time and know when you need a break. Recharge when you need it, no questions asked.
  • Comprehensive Health Coverage: Your health matters. We offer top-tier medical and dental insurance to keep you and your loved ones covered.
  • Commitment to Your Growth: At Voltai, we’re dedicated to your continuous learning and development. Whether it’s through challenging projects or opportunities for professional advancement, we invest in your journey to becoming a leader in your field.
  • Visa Sponsorship: We support international talent and offer visa sponsorship to help you join our team, no matter where you are in the world.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture CUDA Generative modeling HPC LLMs Machine Learning NLP Open Source Prompt engineering Python PyTorch Research

Perks/benefits: Career development Conferences Health care Startup environment Unlimited paid time off

Region: North America
Country: United States

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