Machine Learning Engineer

We are seeking a highly motivated Machine Learning Engineer with a strong background in model architecture design and algorithm development, ideally with experience in scientific domains such as battery technology, energy systems, or related physical sciences. This is a fully on-site role based in Manteno, IL focused on building innovative ML models from the ground up.

Responsibilities

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

Requirements

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; Excellent communication, collaboration, and problem-solving skills in interdisciplinary environments

Nice to have

Experience working with scientific or time-series datasets, especially in battery, materials, or energy domains; A publication record in top-tier ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR)

Benefits

15% bonus; benefits