SES AI · 1 month ago
Machine Learning Scientist, AI Explainability
Woburn, MA
Full-time
Onsite
Mid, Senior LevelSES AI Corp. is dedicated to accelerating the world’s energy transition through groundbreaking material discovery and advanced battery management. The Machine Learning Scientist role focuses on developing Large Language Models and advanced AI agents to enable scientific discovery in material science and battery technology.
BatteryElectric VehicleEnergy StorageManufacturingRenewable Energy
Responsibilities
Lead cutting-edge research in machine learning for scientific discovery, with a focus on (multimodal) Large Language Models and their application (including AI agents) in battery and material discovery
Conduct groundbreaking research on integrating domain-specific data (including literature and internal documents) into LLM training and inference
Investigate the mechanisms through which LLMs approach problem-solving, planning, and solution generation, particularly in the context of basic battery design questions
Troubleshoot and optimize the training process of large language models, addressing complexities and challenges related to data quality, model architecture, and computational efficiency
Implement innovative solutions to enhance model performance and scalability
Collaborate closely with a multidisciplinary team to integrate findings into practical AI solutions that contribute to the discovery of new battery materials and the advancement of lithium battery technology
Contribute to academic and industry discussions by publishing research findings in top-tier journals and presenting at conferences
Engage in machine learning research aimed at addressing battery design challenges and enhancing system ability to interpret data-driven science efficiently
The ability to communicate complex concepts clearly and effectively to both technical and non-technical team members
Qualification
Required
MS or PhD in Computer Science, Statistics, Computational Neuroscience, Cognitive Science or a related field, or equivalent practical experience
Strong foundational knowledge and practical experience in Machine Learning, Deep Learning, and Large Language Models
Proficiency in programming languages relevant to machine learning, with a strong preference for Python
Experience with deep learning frameworks such as PyTorch or TensorFlow
Proficiency in utilizing causal graphs for AI research and application
A solid track record of innovative research, preferably with published work in relevant areas
Excellent problem-solving abilities and a passion for tackling complex technical challenges
Preferred
Experience with AI applications in material science or battery technology
Familiarity with the latest trends and methodologies in AI research, including algorithms such as GRPO
Benefits
Comprehensive health coverage
Attractive equity/stock options program
Company
SES AI
SES AI Corp.
Founded in 2012
201-500 employees
H1B Sponsorship
SES AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (5)
2024 (6)
2023 (4)
2022 (3)
2021 (3)
2020 (4)
Funding
Current Stage
Public CompanyTotal Funding
$600.11MKey Investors
Honda MotorHyundai Motor CompanyGeneral Motors
2022-02-04Post Ipo Equity· $275M
2022-02-04IPO
2021-07-05Corporate Round· $100M
Leadership Team
Qichao Hu
Founder & CEO
Kyle Pilkington
Chief Legal Officer
Recent News
Satellite Today
2025-12-27
2025-12-24
2025-12-18
Company data provided by crunchbase