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  3. Machine Learning Engineer
Gotion logo

Machine Learning Engineer

Gotion
Manteno, Illinois
Full Time
Posted November 10, 2025
$80k - $90k
Energy Storage
Apply Now

Application opens on company website

Job Description

A Machine Learning Engineer role focused on designing and developing advanced ML models to support battery technology and energy storage systems, collaborating with interdisciplinary teams to address real-world scientific challenges in a fast-paced, innovative environment.

Key Responsibilities

  • Design and implement novel machine learning and deep learning models for research needs
  • Prototype and evaluate state-of-the-art algorithms, including Transformers, LLMs, and hybrid architectures
  • Conduct experimentation, benchmarking, and ablation studies on ML models
  • Collaborate with battery scientists and domain experts to incorporate physical constraints into models
  • Contribute to internal documentation and present research outcomes to technical and leadership teams
  • Track and integrate advances from the ML research community to maintain technical excellence

Requirements

  • A Ph.D. preferred or M.S. in Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, or a closely related field
  • Demonstrated expertise in model development, optimization, and algorithmic innovation
  • Proficiency in Python and ML libraries/frameworks such as PyTorch, TensorFlow, etc.
  • Solid understanding of learning theory concepts such as regularization, generalization, loss functions, and evaluation metrics
  • Experience working with scientific or time-series datasets, especially in battery, materials, or energy domains, is highly desirable
  • A publication record in top-tier ML conferences e.g., NeurIPS, ICML, ICLR, CVPR is a strong plus
  • Excellent communication, collaboration, and problem-solving skills in interdisciplinary environments

Benefits & Perks

Compensation/salary range: $80,000 - $90,000
15% bonus benefits

Ready to Apply?

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