SES AI · 17 hours ago
Scientist, Molecular AI Architecture
Greater Boston (Woburn, MA) – On-site/Hybrid
Full-time
Hybrid
Senior LevelSES AI Corp. is dedicated to accelerating the world’s energy transition through groundbreaking material discovery and advanced battery management. The Scientist, Molecular AI Architecture will pioneer the convergence of biological computation and AI to drive next-generation materials discovery, developing novel AI systems and deep neural architectures.
BatteryElectric VehicleEnergy StorageManufacturingRenewable Energy
Responsibilities
Architect novel AI systems and deep neural architectures (e.g., Transformers, CNNs) inspired by principles of systems neuroscience and neural coding principles
Design and implement large-scale multimodal foundation models and agentic AI systems capable of complex reasoning over molecular and battery datasets
Develop methods for model interpretability, representation engineering, and causal reasoning to ensure AI results are explainable and trustworthy for materials science
Lead software development efforts for high-performance computing (HPC), focusing heavily on GPU programming and scaling the training and inference efficiency of large neural networks
Optimize complex ML frameworks (like JAX) within systems and cluster computing environments (e.g., Singularity)
Create automated data-labeling and behavioral encoding models specifically designed to enhance Molecular AI training and data efficiency
Apply Scientific ML principles to complex molecular and battery datasets, translating biological computation concepts into practical AI solutions for materials discovery
Qualification
Required
Ph.D. in Computational and Systems Biology, Computational Neuroscience, or a closely related quantitative field
Deep, demonstrated expertise in systems neuroscience, machine learning, and the design and implementation of deep neural architecture
Proven experience with software development for High-Performance Computing (HPC) environments, including expert-level GPU programming
Practical experience in designing and training foundation models and working with concepts like multi-agent reasoning models
Demonstrated work in model interpretability and representation engineering applied to complex scientific data
Architect novel AI systems and deep neural architectures (e.g., Transformers, CNNs) inspired by principles of systems neuroscience and neural coding principles
Design and implement large-scale multimodal foundation models and agentic AI systems capable of complex reasoning over molecular and battery datasets
Develop methods for model interpretability, representation engineering, and causal reasoning to ensure AI results are explainable and trustworthy for materials science
Lead software development efforts for high-performance computing (HPC), focusing heavily on GPU programming and scaling the training and inference efficiency of large neural networks
Optimize complex ML frameworks (like JAX) within systems and cluster computing environments (e.g., Singularity)
Create automated data-labeling and behavioral encoding models specifically designed to enhance Molecular AI training and data efficiency
Apply Scientific ML principles to complex molecular and battery datasets, translating biological computation concepts into practical AI solutions for materials discovery
Preferred
Practical experience with advanced mathematical and machine learning frameworks like JAX and Julia
Expertise in Bayesian inference and working within specialized container/computing environments like Singularity
Experience with the design and application of agentic AI systems and multimodal reasoning architectures
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