AI Research Resident exploring foundational AI systems from first principles at Maincode, an AI research lab building systems that move humans forward.
About the role
- Data & Evaluation Applied AI Scientist at SES AI Corp., focusing on integrating AI into battery technology for energy transition. Collaborating with experts in a dynamic, innovative environment for impactful scientific projects.
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.
Requirements
- Education: Ph.D. in Chemical Engineering with a focus on Lithium battery systems, Materials Science, or a closely related computational/domain field.
- Domain Expertise: Deep expertise in battery materials, particularly knowledge required to convert complex, real-world data into AI-trainable formats.
- Data Quality & Validation: Proven experience in data validation, annotation, and benchmark creation for complex scientific or engineering datasets.
- AI Exposure: Experience working with advanced AI systems, including familiarity with LLM pipelines and the principles of multi-agent orchestration.
- Applicable Background: Experience in roles such as Applied Scientist in Molecular/Materials AI or similar specialist roles focused on AI system quality in a scientific domain.
Benefits
- A highly competitive salary and robust benefits package, including comprehensive health coverage and an attractive equity/stock options program within our NYSE-listed company.
- The opportunity to contribute directly to a meaningful scientific project—accelerating the global energy transition—with a clear and broad public impact.
- Work in a dynamic, collaborative, and innovative environment at the intersection of AI and material science, driving the next generation of battery technology.
- Significant opportunities for professional growth and career development as you work alongside leading experts in AI, R&D, and engineering.
- Access to state-of-the-art facilities and proprietary technologies are used to discover and deploy AI-enhanced battery solutions.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Location requirements
AI Research Engineer developing sophisticated workflows leveraging LLM models at Cisco. Collaborating with teams to ensure security and scalability of AI solutions.
Senior Applied AI Scientist focusing on AI Learning at Preply, leveraging deep learning for personalized education solutions. Collaborating with teams to enhance learning experiences globally.
AI Scientist at Preply applying deep learning and NLP for personalized learning solutions. Collaborating with cross - functional teams to translate AI research into impactful educational tools.
AI Scientist Intern developing and implementing models for healthcare solutions. Collaborating with AI teams to drive data - driven decision making.
Advanced AI Scientist at HP responsible for architecture and leadership of AI ecosystems. Leading projects in data mining, modeling techniques, and automation systems to drive business innovation.
Graduate Machine Learning Researcher at Longshot Systems designing and improving predictive models for sports betting analytics with a focus on innovation and R&D.
AI Research Scientist developing advanced technologies related to multimodal models at Mercari's R4D team. Collaborating on machine learning and computer vision projects that impact e - commerce platforms.
AI Research Intern at Toyota Research Institute exploring AI applications in enhancing wellbeing. Collaborate in developing innovative approaches within the Human - Centered AI Division.
Machine Learning Researcher at Astera Institute focusing on data - efficient and general model induction. Collaborating on innovative architectures with a focus on performance and throughput.