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Machine Learning Engineer

VoltaiPalo Alto Office
On-site Full-time

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Experience Level

Experience

Qualifications

To thrive in this role, candidates should demonstrate strong AI/ML engineering capabilities acquired from leading academic institutions, a proven history of managing AI/ML projects from inception to production, and practical expertise in deploying LLMs and multi-modal models in real-world applications.

About the job

About Voltai
At Voltai, we are pioneering the future of artificial intelligence by developing world models and agents capable of learning, evaluating, planning, experimenting, and interacting with the physical world. Our initial focus is on understanding and creating advanced hardware, electronic systems, and semiconductors, utilizing AI to design and innovate beyond human cognitive boundaries.

About Our Team
Our remarkable team is backed by esteemed Silicon Valley investors, Stanford University, and industry leaders including CEOs and Presidents of Google, AMD, Broadcom, and Marvell. We boast a diverse group of former Stanford professors, SAIL researchers, Olympiad medalists, CTOs of prominent tech firms, and high-ranking officials with experience in national security and foreign policy.

What We Are Looking For

  • Exceptional AI/ML engineering skills, ideally from top-tier programs in Computer Science, Electrical Engineering, Mathematics, or Physics.

  • Demonstrated success in delivering AI/ML projects from initial concept through to production deployment.

  • Hands-on experience in fine-tuning and deploying large language models (LLMs) within production environments.

  • Experience working with multi-modal models that integrate text, image, or audio inputs.

Bonus Points

  • Experience in competitive programming.

  • Contributions to open-source projects.

  • Recognition through awards or publications in leading journals and conferences.

  • Ability to thrive in a dynamic, fast-paced startup environment.

About Voltai

Voltai is at the forefront of AI innovation, dedicated to creating intelligent systems that can learn and interact with the world. We leverage cutting-edge technology and expert knowledge to push the boundaries of what is possible in machine learning and hardware development.

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