Machine Learning Scientist, AI Explainability

Summary

Join SES AI as a Machine Learning Scientist to conduct groundbreaking research on explainability of large language models and contribute to the discovery of new battery materials.

Requirements

• 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 utilizing causal graphs for AI research and application
• Demonstrated experience in AI explainability, with a focus on mechanistic interpretation and representation engineering
• A solid track record of innovative research, preferably with published work in relevant areas
• Proficient in programming languages relevant to machine learning, with a strong preference for Python
• Experience with deep learning frameworks such as PyTorch or Tensorflow etc
• Excellent problem-solving abilities and a passion for tackling complex technical challenges
• The ability to communicate complex concepts clearly and effectively to both technical and non-technical team members

Responsibilities

• Conduct groundbreaking research on the explainability of large language models and their reasoning processes, drawing parallels with neuroscience to understand the 'thought processes' of AI systems
• Investigate the mechanisms through which LLMs approach problem-solving, planning, and solution generation, particularly in the context of basic battery design questions
• Apply advanced techniques such as causal graphs and neuroscience-inspired AI methodologies to dissect and enhance the reasoning capabilities of LLMs, with the aim of improving accuracy and reducing instances of hallucination
• 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-metal battery technology
• Contribute to academic and industry discussions by publishing research findings in top-tier journals and presenting at conferences

Preferred Qualifications

• Experience with AI applications in material science or battery technology
• Familiarity with the latest trends and methodologies in AI research, including neuroscience-inspired models and causal reasoning

Benefits

• Company paid Health and Dental insurance (ability to add dependents)
• Global travel insurance for employees traveling while on business
• Company sponsored retirement plan with 100% vesting and up to 5% match
• Life and AD&D Insurance
• Employee Assistance Program
• Six Paid Holidays, and one floating holiday per a quarter equivalent to 4 per calendar year
• 10 accrued vacation days per calendar year that increases with tenure
• Bonus + Equity, based on position and eligibility requirements