Machine Learning Engineer

• 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

This role contributes to accelerating electrified transportation and achieving sustainable development by developing machine learning solutions for advanced battery technologies used in electric vehicles and energy storage systems.

• 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

The US base salary range for this full-time position is $80,000.00 - $90,000.00 + 15% bonus + benefits. Gotion is a career destination offering outstanding opportunities in an exciting and challenging working environment where everyone is highly valued and plays a vital role in the organization's growth.

Gotion innovates in next-generation electric vehicle and energy storage technologies (lithium batteries and related systems) with the aim to accelerate electrified transportation and achieve sustainable development. They are a leading power battery technology company that provides solutions for vehicles including the world's first mass commercial e-bus route.