Full-Time

Machine Learning Scientist

AI Explainability

Confirmed live in the last 24 hours

SES AI

SES AI

51-200 employees

Develops advanced Lithium Metal batteries for EVs

Automotive & Transportation
Energy
Aerospace

Compensation Overview

$150k - $250kAnnually

+ Bonus + Equity

Senior, Expert

Remote in USA

This is a remote position.

Category
Applied Machine Learning
Deep Learning
Natural Language Processing (NLP)
AI Research
AI & Machine Learning
Required Skills
Python
Tensorflow
Pytorch
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.

SES AI specializes in developing advanced Lithium Metal (Li Metal) batteries for electric vehicles (EVs) used on land and in the air. These batteries provide better energy density and longer range than traditional lithium-ion batteries. The company serves various clients, including automotive and aerospace industries, by focusing on research and development, manufacturing, and licensing its battery technology. SES AI stands out from competitors by having state-of-the-art facilities for testing and refining its products, and it actively shares progress reports with the industry. The goal of SES AI is to contribute to the shift towards sustainable energy solutions in the electric transportation market.

Company Stage

IPO

Total Funding

$581.1M

Headquarters

Woburn, Massachusetts

Founded

2012

Growth & Insights
Headcount

6 month growth

6%

1 year growth

11%

2 year growth

39%
Simplify Jobs

Simplify's Take

What believers are saying

  • Partnership with Hyundai and Kia enhances Li-Metal battery commercialization efforts.
  • New facility in South Korea boosts global manufacturing capabilities for large-format cells.
  • Successful eVTOL test flight showcases potential in urban air mobility applications.

What critics are saying

  • Delays in South Korea facility could impact production targets and milestones.
  • Collaboration with Hyundai and Kia may face strategic alignment challenges.
  • Rapid expansion may strain supply chain and operational resources, risking inefficiencies.

What makes SES AI unique

  • SES AI specializes in advanced Li-Metal batteries for EVs and aerospace.
  • Their materials are compatible with existing Li-ion manufacturing processes, enabling scalability.
  • SES AI's open ecosystem allows seamless integration and faster prototyping for diverse applications.

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