Machine Learning Scientist, AI Explainability

$150,000 - $250,000/Yr

Securitas - Woburn, MA

Full-time - Senior

Remote - Woburn, MA

Administrative and Support Services

About the position

The Machine Learning Scientist position at SES AI focuses on AI explainability, particularly in the context of large language models (LLMs) and their application in battery technology. The role involves conducting advanced research to understand the reasoning processes of AI systems, with the goal of enhancing the development of innovative lithium-metal batteries. This position requires collaboration with academic labs and a multidisciplinary team to integrate findings into practical AI solutions, ultimately contributing to groundbreaking advancements in battery design.

Responsibilities

• Conduct groundbreaking research on the explainability of large language models and their reasoning processes, drawing parallels with neuroscience.
• Investigate the mechanisms through which LLMs approach problem-solving, planning, and solution generation, particularly in battery design.
• Apply advanced techniques such as causal graphs and neuroscience-inspired AI methodologies to enhance the reasoning capabilities of LLMs.
• Collaborate closely with a multidisciplinary team to integrate findings into practical AI solutions for battery material discovery.
• Contribute to academic and industry discussions by publishing research findings and presenting at conferences.

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.
• Excellent problem-solving abilities and a passion for tackling complex technical challenges.
• Ability to communicate complex concepts clearly and effectively to both technical and non-technical team members.

Nice-to-haves

• 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, dental, and vision 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 quarter
• 10 accrued vacation days per calendar year that increases with tenure
• Bonus + Equity, based on position and eligibility requirements