Machine Learning Engineer

New Yesterday

About the Role:
Ready to apply Before you do, make sure to read all the details pertaining to this job in the description below. 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 Fremont, CA , focused on building innovative ML models from the ground up. You will collaborate closely with cross-disciplinary R&D teams to develop and deploy machine learning solutions that address real-world challenges in advanced materials, electrochemical systems, and high-throughput data environments. Key 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 Preferred Qualifications: • 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
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Location:
Fremont, CA
Category:
Manufacturing And Production

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