Machine Learning Engineer

About the role

Onsite ML engineer on battery product R&D in Manteno. Build novel models from the ground up for advanced materials, electrochemical systems, and high-throughput data. Requires Python, ML framework skills, model-development expertise, and learning theory; scientific or time-series experience and battery/energy knowledge are preferred. Salary $80,000-$90,000 plus 15% bonus.

Requirements

• PhD preferred or MS in ML, computer science, electrical engineering, applied mathematics, or related field
• Expertise in model development, optimization, and algorithmic innovation
• Python and ML frameworks such as PyTorch or TensorFlow
• Learning theory including regularization, generalization, loss functions, and evaluation metrics
• Scientific/time-series data experience preferred
• Top-tier ML conference publications are a plus

What you'll do

• Design novel ML and deep-learning models
• Prototype Transformers, LLMs, and hybrid architectures
• Run experiments, benchmarks, and ablation studies
• Incorporate physical constraints and scientific priors with battery scientists
• Document and present research results
• Track ML research advances

Where this was posted

• LinkedIn

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