Machine Learning Scientist, LLM

SESOnsite

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 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

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 and 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 spearhead the development of our Large Language Models (LLM) and AI agents. By harnessing our internal expertise and collaboration with strong academic labs, this role is pivotal in enabling groundbreaking research in machine learning for scientific discovery, particularly in the realm of material science and battery technology.As a Large Language Model Scientist at SES AI, you will be instrumental in building and deploying large-scale, distributed (multimodal) large language models, AI agents and relevant machine learning algorithms and systems.

These innovations are key to transforming the material science discovery process, enabling the machine to not only absorb knowledge from extensive literature in the battery and material science fields but also to think and innovate like a scientist.This role demands a blend of passion for technical problem-solving and a proven track record in delivering innovative machine learning solutions. Your tasks will include the continuous pretraining of large language models using material science literature and textbooks, alongside supervised fine-tuning with battery data labeled by human scientists for reasoning. Subsequently, you will create AI agents based on these developed LLMs or multimodal LLMs (MLLMs), fostering machine-driven innovation in discovering novel materials for our lithium-metal battery designs.You will be required to collaborate with strong academic labs, engaging in machine learning research aimed at addressing our battery design challenges and enhancing our systems' ability to understand and interpret data-driven science efficiently. Your contributions will be instrumental in enhancing our ability to analyze experimental data and intuitively achieve groundbreaking advancements in battery technology.This is a remote position.

Responsibilities

Lead cutting-edge research in machine learning for scientific discovery, with a focus on (multimodal) large language models and their application (including AI agent) in battery and material discovery.
Troubleshoot and optimize the training process of large language models, addressing the complexities and challenges inherent to training such sophisticated systems. This includes identifying and resolving issues related to data quality, model architecture, and computational efficiency, as well as implementing innovative solutions to enhance model performance and scalability.
Design, develop, and deploy robust machine learning models in production environments, ensuring their scalability and reliability in collaboration with other computational teams.
Foster collaboration with cross-functional teams across our AI team and other teams at SES, aiming to solve complex problems in battery and material sciences.
Engage with external scientific partners, including top academic institutions and industry research groups, to drive innovation and research. Endeavor to publish research findings in top-tier machine learning conferences and journals.

Qualifications

MS or PhD in Computer Science, Statistics, or a related field, or equivalent practical experience.
At least 5 years of strong academic and industry experience in machine learning and natural language processing, with a preference for candidates who have focused on large language models and AI agents.
Have a distinguished history of contributing to the field through publications in leading machine learning conferences and journals, such as ICLR, NeurIPS, ACL, ICML, CVPR, and Nature Machine Intelligence.
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.
An extensive track record of delivering innovative solutions in machine learning.
Exceptional communication skills, capable of conveying complex technical concepts to a broad audience, including both technical and non-technical stakeholders.
Demonstrated ability to collaborate effectively with external scientific partners.

Life at SES

Thrive Here & What We Value12. Comply with laboratory 5S management requirements to ensure safety in the test process | 13. Assist daily management of the laboratory</s> | 1. Pursue Continuous Progress | 2. Good Team Spirit | 3. Sense of Responsibility | 4. Careful and Rigorous | 5. Foreign Project Experience Preferred</s> | Dedicated and focused team player | Collaborative mindset | Excellent organizational communication skills | Flexible work arrangements</s> | Emphasis on innovation and creativity | Focus on quality and reliability | Encourages collaboration and teamwork | Values continuous learning and improvement</s> | 1. Emphasis on innovation and creativity | 2. Collaborative work environment | 3. Continuous learning and improvement | 4. Focus on customer satisfaction | 5. Respect for individual differences</s> | 1. Dedicated and focused team members | 2. Shared vision among staff members | 3. Excellent organizational communication skills | 4. Flexible work arrangements | 5. Benefits package including 4대 보험수습기간 급여, 100% 지급, 야근수당 지급, 보너스 제도, 명절/생일 상품권 혜택, 주거지원금 제공, 월차/반차/여름 리프레쉬 휴가</s> | Able to read and write in English | Proficient in injection molding process, sheet metal processing process, surface treatment, etc. | Skilled in Solidworks, CATIA, UG and other design software</s> | 1. Collaborative Environment | 2. InnovationFocused | 4. CustomerCentric Approach | 5. ResultsDriven</s> | 2. Continuous Learning Opportunities | 3. WorkLife Balance | 4. Professional Development Support | 5. Recognition for Achievements</s> | 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 | Bonus + Equity, based on position and eligibility requirements</s> | 1. Collaborative work environment | 2. Emphasis on innovation and creativity | 3. Continuous learning and professional growth opportunities | 4. Support for worklife balance</s> | 11. Proficient in Office, AUTOCAD and other software</s> | 11. Collaborative work environment | 12. Emphasis on innovation and creativity | 13. Opportunities for career growth and development</s> | Six Paid Holidays, and one floating holiday per a quarter equivalent to 4 per calendar year</s> | Global Electric Transportation on Land and in the Air with Li-Metal Batteries | Utilizing Superintelligent AI Across the Spectrum of Its Business | Accelerating Innovation by Harnessing Internal Expertise and Collaboration with Strong Academic Labs | Fostering Machine-Driven Innovation in Discovering Novel Materials for Lithium-Metal Battery Designs</s> | Strong learning ability | Proficient in English speaking, reading, and writing | Good English reading and writing ability and paper reading ability</s> | Quality-focused organization that values continuous improvement and customer satisfaction</s> | Bonus + Equity based on position and eligibility requirements</s> | Familiarity with mechanical design and metal processing technology | Proficient in AutoCAD, Pro-e, Solidworks and other design software | Understanding of electric control, pneumatic, hydraulic, etc</s> | Familiarity with Battery Pack Design, Testing, and Data | Experience in Battery Management System (BMS) Algorithm Development | Ability to Work Collaboratively Across Departments</s> | 2. Continuous Learning and Improvement | 3. Innovation and Creativity | 4. Customer Focus | 5. ResultsOriented</s> | 1. Strong sense of responsibility | 2. Good teamwork skills | 3. Excellent English is preferred</s> | 1. Flexible Work Schedule | 2. Bonuses for Unavoidable Overtime | 3. Support for Living Expenses | 4. Paid Vacation Days</s> | Familiar with principles and methods of organic synthesis | Familiar with chemical synthesis and distillation equipment and distillation operation | Familiar with recrystallization process and equipment | Familiar with solid-liquid separation process and equipment</s> | 1. Global Electric Transportation | 2. LiMetal Batteries | 3. Superintelligent AI Across the Spectrum of Business | 4. Accelerating Innovation through Utilizing AI | 5. Ability to Add Dependents for Health and Dental Insurance</s> | Expertise and experience in operating and maintaining analytical instruments including but not limited limited to GC, FTIR, UV-Vis, DSC, TGA, SEM, XPS, Raman, and NMR. | Experience working with moisture sensitive materials in a glovebox or dry room | Ability to analyze data and draw deeper conclusions from analytical data</s> | Robust internal controls understanding and documentation of relevant financial processes and transactions | Prior hands-on experience with the implementation and monitoring of global SOX compliance | Proactively research, analyze, and benchmark the disclosures of peer companies, competitors, and industry trends | Develop and assist with the preparation of financial materials used in presentations to the Board of Directors, Audit Committee, and Executive Management.</s> | 1. Emphasis on Continuous Improvement | 2. Collaborative Environment | 3. Focus on Innovation and Creativity | 4. Encouragement of Professional Development | 5. Strong Commitment to Safety</s> | 1. Emphasis on innovation and progressiveness | 2. Encourages teamwork and collaboration | 3. Values hard work and dedication to the job</s> | Continuous tracking of the latest technological developments | Assistance in introducing cutting-edge methods to improve application effect</s> | Focus on business research and innovation | Constantly carry out product model innovation and business iteration | Familiar with application scenarios of data product solutions in the industry</s> | 1. Promotes the Development of Customer Projects | 2. Accepts Outstanding Graduates | 3. Familiarity with the Design or Research and Development of Lithiumion Cell and Solid Cell</s> | 4. Focus on customer satisfaction and quality products | 5. Strong commitment to safety and reliability</s> | 4. Focus on quality and customer satisfaction | 5. Supportive and inclusive workplace culture</s> | Desire to learn experimental and analytical techniques | Strong focus on high energy cell design and performance optimization.</s> | Global electric transportation company with a focus on Li-Metal batteries | Utilizes superintelligent AI across the spectrum of its business | Offers comprehensive compensation package including base pay, health and dental insurance, global travel insurance, retirement plan, life and AD&D Insurance, employee assistance program, six paid holidays, and one floating holiday per quarter equivalent to four per calendar year | Emphasizes cybersecurity strategy and proactively manages threats to ensure the confidentiality, integrity, and availability of data and systems.</s> | 1. Excellent Communication and Coordination Ability | 2. Professionalism | 3. Team Management | 4. Problem Solving | 5. Risk Assessment</s> | 1. Emphasis on Innovation and Continuous Improvement | 2. Encourages Collaboration and Teamwork | 3. Focuses on Employee Development and Growth | 4. Values Quality and Accuracy in Work | 5. Promotes a Positive and Supportive Work Environment</s> | Promoting analysis and solution of trial-production, experimental quality problems, and after-sales problems | Ensuring that the project research and development process is under control | Encouraging quality target implementation at all stages of the project</s> | 1. Global travel insurance for employees traveling while on business | 2. Company sponsored retirement plan with 100% vesting and up to 5% match | 3. Life and AD&D Insurance | 4. Employee Assistance Program | 5. Six Paid Holidays, and one floating holiday per a quarter equivalent to 4 per calendar year</s>