Machine Learning Engineer

Gotion

Manteno, IL, US
Base: $80,000.00 - $90,000.00; bonus/equity: 15% b...
On-site
Model architecture design
Algorithm development
Python
Gotion Inc. is seeking a Machine Learning Engineer to join their team in Manteno, IL, focusing on the development of innovative machine learning models for electric vehicle and energy storage technologies. The ideal candidate will have a strong background in model architecture and algorithm development, particularly in scientific domains relevant to battery technology

Job Summary

  • Gotion is seeking a highly motivated Machine Learning Engineer focused on building innovative ML models from the ground up.
  • You will collaborate closely with cross-disciplinary R&D teams to develop and deploy machine learning solutions that address real-world challenges in advanced materials and electrochemical systems.
  • The role involves designing and implementing novel machine learning and deep learning models, prototyping state-of-the-art algorithms, and conducting rigorous experimentation.

Matching Summary

Match Score: 85

Gotion Inc. is seeking a Machine Learning Engineer to join their team in Manteno, IL, focusing on the development of innovative machine learning models for electric vehicle and energy storage technologies. The ideal candidate will have a strong background in model architecture and algorithm development, particularly in scientific domains relevant to battery technology.

Salary

Base: $80,000.00 - $90,000.00; Bonus/Equity: 15% bonus; Benefits: benefits

Skills & Requirements

Must-have

  • model architecture design
  • algorithm development
  • Python
  • PyTorch
  • TensorFlow
  • learning theory concepts

Nice-to-have

  • scientific domains
  • battery technology
  • energy systems
  • physical sciences
  • scientific constraints
  • publication record

Key Requirements

  • Ph.D. or M.S. in Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, or related field
  • Proficiency in Python and ML libraries/frameworks
  • Solid understanding of learning theory concepts
  • Experience with scientific or time-series datasets
  • Excellent communication, collaboration, and problem-solving skills

Work Rights

Not specified

Tailored Resume

Cover Letter