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Staff Machine Learning Engineer - Remote

Posted 7 weeks ago
Software Development
Full Time
USA

Overview

webAI is a software company that is building a decentralized AI development platform. Our technology enables the development of powerful AI using limited amounts of data, challenging the underlying assumption that big data is the key to unlocking the full power of AI. webAI offers opportunities to join a dynamic and fast-growing team that fosters a fun and growth-oriented office culture.

In Short

  • Lead the development and optimization of Large Language Models and Mixture of Experts models.
  • Collaborate with cross-functional teams to integrate ML models into our platform.
  • Conduct cutting-edge research in machine learning, focusing on improving the performance and efficiency of LLMs.
  • Stay abreast of the latest advancements in AI and ML.
  • Mentor junior engineers and contribute to the team’s knowledge sharing.

Requirements

  • Advanced degree (Ph.D. preferred) in Computer Science, or a related field.
  • Proven track record of innovations through publications or industry experience.
  • Minimum of 5 years of experience in machine learning, with expertise in LLMs and MoEs.
  • Strong programming skills in Python and ML frameworks like TensorFlow and/or PyTorch.
  • Demonstrated ability to lead complex projects and work collaboratively.

Benefits

  • Competitive salary and performance-based incentives.
  • Comprehensive health, dental, and vision benefits package.
  • $200/mos Health and Wellness Stipend.
  • $400/year Continuing Education Credit.
  • Flexible work week.
  • Free parking, for in-office employees.
  • Unlimited Approved PTO.
  • Parental, Bereavement Leave.
  • Supplemental Life Insurance.
webAI logo

webAI

webAI is an innovative company dedicated to creating a decentralized AI development platform. With a focus on transforming cutting-edge machine learning models into production-ready systems, webAI fosters collaboration between engineering and research teams to implement novel AI architectures. The company values high performance, reliability, and efficiency in its AI systems, and is committed to providing a supportive work environment with competitive benefits and opportunities for professional growth.

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