Lead AI Product Engineer

2 weeks ago


California, United States Tykhe Inc Full time

Opportunity Overview:

Are you ready to take on a pivotal role with Tykhe Inc, focusing on your expertise in Generative AI within product management? This full-time position offers the chance to leverage your skills in a dynamic environment.

Key Responsibilities:

  • Design and implement innovative applications that integrate Generative AI with advanced probabilistic methodologies to address intricate challenges across various data types, including text, images, audio, video, and time-series data.
  • Collaborate with cross-functional teams, including applied research, engineering, product management, customer success, and market strategy, to develop applications that advance the field of Generative AI through diverse model architectures, distributed computing, optimization strategies, large-scale deployment, probabilistic modeling, topological analysis, and specialized domain models.
  • Contribute to product development, applied research, and application creation across multiple industries.

Essential Qualifications:

  1. Master's degree in Computer Science, Computer Engineering, or a related technical discipline, or equivalent practical experience.
  2. Over 10 years of experience as an applied AI engineer or researcher, demonstrating a strong history of technical leadership in developing innovative AI techniques, including at least 3 years focused on Generative AI technologies.
  3. Solid expertise in one or more of the following areas: Generative AI, Deep Learning, Machine Learning, Probabilistic Methods, Topological Models, Non-linear Optimization, and Operations Research.
  4. Demonstrated success with publications in prestigious conferences and journals.
  5. Advanced proficiency in Python and/or Golang, with comprehensive knowledge of deep learning techniques and their application in large-scale production settings utilizing accelerators (e.g., GPUs).
  6. Extensive hands-on experience with major cloud platforms such as AWS, Google Cloud, and/or Azure.
  7. Strong analytical skills to address complex challenges, make informed decisions in uncertain situations, and implement best practices for secure software development.
  8. Exceptional problem-solving capabilities and meticulous attention to detail, with examples of successfully resolving challenging issues in high-pressure environments.
  9. Ability to excel in a fast-paced startup culture, adapt to evolving technologies and priorities, and possess strong communication skills for effective collaboration.

Preferred Qualifications:

  1. PhD in Computer Science or a related technical field.
  2. 15+ years of hands-on experience as an AI researcher, with at least 5 years dedicated to developing Generative AI technologies.
  3. Experience in creating tools, libraries, and infrastructure for data preprocessing, model training/finetuning, and deploying large language models in production.
  4. Practical experience with multi-node high-performance computing systems for building and deploying large-scale models.
  5. Experience in deploying advanced AI technologies with a focus on product-level quality.
  6. Background in hyper-growth environments is advantageous.

For further details about this opportunity, please inquire for more information.


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