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(Senior) AI/ML Engineer
About Us
SES is a global leader in development and production of high-performance Li-Metal rechargeable batteries for electric vehicles (EVs) and other applications. Founded in 2012, SES is an integrated Li-Metal battery manufacturer with strong capabilities in material, cell, module, AI-powered safety algorithms and recycling. Formerly known as SolidEnergy Systems, SES is headquartered in Boston and has operations in Singapore, Shanghai, and Seoul.
To learn more about SES, please visit: www.ses.ai.
Responsibilities
• Design, develop, and implement machine learning models for battery state estimation and performance prediction.
• Fine-tune pre-trained models and establish the fine-tuning process and framework.
• Gather and preprocess large datasets from various sources to ensure data quality and consistency.
• Conduct system diagnostic and status estimation using supervised and unsupervised machine learning techniques.
• Develop predictive models to forecast battery performance
• Collaborate with cross-functional teams to understand requirements and translate them into technical solutions.
• Maintain comprehensive documentation and reporting for model development and safety analysis processes.
Qualifications
• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field; PhD is a plus.
• Proficiency in programming languages such as Python, R, or MATLAB.
• Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras.
• Strong statistical analysis and data visualization skills.
• Proven experience in developing and deploying machine learning models in performance prediction and state estimation applications.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work effectively in a fast-paced and dynamic environment.