SES AI · 1 month ago
Data & Evaluation Applied AI Scientist
Greater Boston
Full-time
Onsite
Senior LevelSES AI Corp. is dedicated to accelerating the world’s energy transition through groundbreaking material discovery and advanced battery management. The Data & Evaluation Applied AI Scientist will serve as the domain expert ensuring that SES AI’s complex battery-domain knowledge is correctly represented and validated within advanced AI systems, focusing on data integrity and quality in AI models.
BatteryElectric VehicleEnergy StorageManufacturingRenewable Energy
Responsibilities
Data Curation & Validation
Translate deep Battery Materials Knowledge and next-generation battery concepts into correctly structured, high-quality, AI-trainable data
Lead processes for rigorous data validation, cleaning, and annotation to ensure consistency and correctness across all datasets
Oversee the creation and management of benchmark datasets and design domain-specific multimodal evaluations to test model accuracy
AI System Quality & Correctness
Partner closely with AI architecture and engineering teams to ensure the correctness, reliability, and scientific reasoning quality of models, including LLM creation and multi-agent orchestration
Implement techniques, including those inspired by reinforcement learning (RLHF), to tune and validate model behavior against established scientific principles
Ensure that resulting models accurately understand molecular chemistry, materials data, and complex scientific reasoning in the battery domain
Strategy & Collaboration
Drive the application of Battery Informatics principles across all data pipelines and modeling efforts
Qualification
Required
Ph.D. in Chemical Engineering with a focus on Lithium battery systems, Materials Science, or a closely related computational/domain field
Deep expertise in battery materials, particularly knowledge required to convert complex, real-world data into AI-trainable formats
Proven experience in data validation, annotation, and benchmark creation for complex scientific or engineering datasets
Experience working with advanced AI systems, including familiarity with LLM pipelines and the principles of multi-agent orchestration
Experience in roles such as Applied Scientist in Molecular/Materials AI or similar specialist roles focused on AI system quality in a scientific domain
Preferred
Experience with specialized techniques used for model tuning and alignment, such as Reinforcement Learning from Human Feedback (RLHF)
Previous experience in specialized environments like battery focus labs, materials data science groups, or AI4Science teams with a focus on agent pipeline building and model tuning (e.g., drawing from precedents like DeepMind or Fair Labs)
Direct experience designing and executing domain-specific multimodal evaluations for complex AI models
Experience as a Computational battery AI specialist
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