Machine Learning Scientist, AI Explainability @ SES AI Corp | Jobright.ai
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Machine Learning Scientist, AI Explainability jobs in Woburn, MA
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SES AI Corp · 1 day ago

Machine Learning Scientist, AI Explainability

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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.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningDeep LearningLarge Language ModelsPythonCausal GraphsAI ExplainabilityMechanistic InterpretationRepresentation EngineeringPyTorchTensorFlowMaterial Science ApplicationsNeuroscience-inspired ModelsCausal Reasoning

Required

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.

Preferred

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

Company

SES AI Corp

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SES is developing a Mine-to-Man AI software system for Li-Metal batteries.

Funding

Current Stage
Public Company
Total Funding
$600.11M
Key Investors
Honda MotorHyundai Motor CompanyGeneral Motors
2022-02-04Post Ipo Equity· $275M
2022-02-04IPO· nyse:SES
2021-07-05Corporate Round· $100M

Leadership Team

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Qichao Hu
Founder & Chief Executive Officer
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Rohit Makharia
President and COO
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Company data provided by crunchbase
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