Machine Learning Engineer
Gotion, Inc.2 months ago
Base Salary
$80k - $90k/yr
Responsibilities
- Design and implement novel machine learning and deep learning models for internal research needs.
- Prototype and evaluate algorithms including Transformers, LLMs, and hybrid model architectures.
- Conduct experimentation, benchmarking, and ablation studies.
- Incorporate physical constraints and scientific priors into models in collaboration with battery scientists and domain experts.
- Document work and present research outcomes to technical and leadership teams.
- Track and integrate advances from the machine learning research community.
Requirements
- Master's degree or higher in Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, or a closely related field; a Ph.D. is preferred.
- Demonstrated expertise in model development, optimization, and algorithmic innovation.
- Proficiency in Python and machine learning libraries or frameworks such as PyTorch and TensorFlow.
- Understanding of regularization, generalization, loss functions, evaluation metrics, and other learning theory concepts.
- Experience with scientific or time-series datasets, particularly in battery, materials, or energy domains, is highly desirable.
- Publications in top-tier ML conferences such as NeurIPS, ICML, ICLR, or CVPR are a strong plus.
- Strong communication, collaboration, and problem-solving skills in interdisciplinary environments.
Benefits
- Fully on-site position based in Manteno, Illinois.
- Benefits are provided.
Categories
About Gotion, Inc.
Gotion, Inc. designs and manufactures lithium batteries, battery management systems, and energy storage systems for electric vehicles and stationary applications. Headquartered in Fremont, California and founded in 2014, it operates R&D centers in Ohio, China, Japan, Singapore, and Europe, and is building a manufacturing facility in Manteno, Illinois. The company sells cells, packs, and related materials to OEMs and integrators in transportation and energy markets.