Machine Learning Scientist, LLM

Solid Energy Systems; Woburn (MA); Remote; USD 150,000 - 250,000; Full time

Job summary

An innovative firm is seeking a Machine Learning Scientist to advance the development of Large Language Models and AI agents. This role involves leading research in machine learning for scientific discovery, particularly in battery technology and material science. You will build and deploy large-scale models, collaborate with academic labs, and tackle complex challenges in the field. If you are passionate about leveraging AI to transform material discovery and have a strong background in machine learning, this is an exciting opportunity to make a significant impact in a forward-thinking company.

Benefits

Company paid Health and Dental insurance

Global travel insurance

Company sponsored retirement plan

Life and AD&D Insurance

Employee Assistance Program

Paid Holidays

Accrued vacation days

Bonus + Equity

Qualifications

• 5+ years of experience in machine learning and NLP, focusing on LLMs.
• Proven publication record in top ML conferences/journals.

Responsibilities

• Lead research in machine learning for scientific discovery.
• Optimize training processes of large language models.

Skills

Machine Learning

Natural Language Processing (NLP)

Python

Deep Learning (PyTorch, TensorFlow)

Research Publication

Collaboration

Education

MS or PhD in Computer Science

Equivalent Experience

Tools

PyTorch

TensorFlow

Job description

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At SES AI, base pay is one part of our total compensation package and is determined within a range. The base pay range for this role is between $150,000 and $250,000. SES AI considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and skills.

What We Offer

• 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 quarter, totaling 4 per year
• 10 accrued vacation days per year, increasing with tenure
• Bonus + Equity, based on position and eligibility requirements

Note: SES AI benefit, compensation, and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

About SES AI

SES AI Corp. (NYSE: SES) is powering the future of global electric transportation on land and in the air with the world’s most advanced Li-Metal batteries. SES AI is the first battery company in the world to accelerate its pace of innovation by utilizing superintelligent AI across the spectrum of its business, from research and development; materials sourcing; cell design; engineering and manufacturing; to battery health and safety monitoring. Founded in 2012, SES AI is an Li-Metal battery developer and manufacturer headquartered in Boston with operations in Singapore, Shanghai, and Seoul.

Learn more at SES.AI

Position Scope

The SES AI Prometheus team (AI Research) is seeking exceptional Machine Learning Scientists to lead the development of our Large Language Models (LLM) and AI agents. This role involves leveraging internal expertise and collaborating with academic labs to advance research in machine learning for scientific discovery, especially in material science and battery technology.

As a Large Language Model Scientist, you will build and deploy large-scale, multimodal language models, AI agents, and related algorithms, transforming the material science discovery process by enabling machines to analyze literature and innovate like scientists.

This role requires a passion for technical problem-solving and a proven record of delivering innovative machine learning solutions. Responsibilities include pretraining LLMs on material science literature, fine-tuning with battery data, and creating AI agents to foster innovation in battery material discovery.

The position is remote.

Responsibilities

• Lead research in machine learning for scientific discovery, focusing on (multimodal) large language models and AI agents in battery and material discovery.
• Optimize training processes of large language models, resolving issues related to data quality, architecture, and computational efficiency.
• Design, develop, and deploy machine learning models in production, ensuring scalability and reliability.
• Collaborate with cross-functional teams and external scientific partners to solve complex problems and publish research findings.

Qualifications

• MS or PhD in Computer Science, Statistics, or related field, or equivalent experience.
• At least 5 years of experience in machine learning and NLP, with focus on LLMs and AI agents preferred.
• Proven publication record in top ML conferences/journals.
• Proficient in Python and deep learning frameworks like PyTorch or TensorFlow.
• Track record of delivering innovative ML solutions.
• Excellent communication skills for technical and non-technical audiences.
• Ability to collaborate effectively with external partners.

Additional Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Other
• Industries: Services for Renewable Energy