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AI ML engineer

  • Full Time, onsite
  • Marvis Inc.
  • San Francisco Bay Area, United States of America
Salary undisclosed

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Company Description

Marvis Inc. is developing the world's first personalized "Digital Companion" designed to learn from and work for individuals. Currently in stealth mode, Marvis will be unveiled to the public in Q2 2025.

Role Description

This is a full-time (remote) role for an AI ML Engineer at Marvis Inc. located in US and Japan. The AI ML Engineer will be responsible for developing and implementing pattern recognition algorithms, neural networks, and statistical models. They will also work on designing efficient algorithms for data analysis and machine learning tasks.

Qualifications

  • Pattern Recognition, Neural Networks, and Algorithms skills
  • Strong background in Computer Science and Statistics
  • Experience in implementing machine learning models
  • Knowledge of advanced AI and ML concepts
  • Experience with data analysis and visualization tools
  • Excellent problem-solving and analytical skills
  • Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related field

Company Description

Marvis Inc. is developing the world's first personalized "Digital Companion" designed to learn from and work for individuals. Currently in stealth mode, Marvis will be unveiled to the public in Q2 2025.

Role Description

This is a full-time (remote) role for an AI ML Engineer at Marvis Inc. located in US and Japan. The AI ML Engineer will be responsible for developing and implementing pattern recognition algorithms, neural networks, and statistical models. They will also work on designing efficient algorithms for data analysis and machine learning tasks.

Qualifications

  • Pattern Recognition, Neural Networks, and Algorithms skills
  • Strong background in Computer Science and Statistics
  • Experience in implementing machine learning models
  • Knowledge of advanced AI and ML concepts
  • Experience with data analysis and visualization tools
  • Excellent problem-solving and analytical skills
  • Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related field