Gotion Inc.
Fremont, California
Gotion Inc. is based in Silicon Valley, CA, currently building a manufacturing facility in Manteno, IL and has R&D centers in Ohio, China, Japan and Europe. We innovate in the next generation electric vehicle and energy storage technologies (lithium batteries and related systems) with the aim to accelerate electrified transportation and achieve sustainable development. Gotion is powered by a leading power battery technology company that provides solutions for vehicles including the world's first mass commercial e-bus route. About the Team The Product Development Team at Gotion Illinois New Energy Inc. focuses on the design and development of advanced battery products for next-generation energy storage system (ESS) and electric vehicle (EV) applications. We lead the full product development cycle, integrating mechanical, electrical, thermal, and control system to create high-performance battery solutions, along with comprehensive system integration, validation, and certification activities. Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background in model architecture design and algorithm development, ideally with experience in scientific domains such as battery technology, energy systems, or related physical sciences. This is a fully on-site role based in Manteno, IL focused on building innovative ML models from the ground up. You will collaborate closely with cross-disciplinary R&D teams to develop and deploy machine learning solutions that address real-world challenges in advanced materials, electrochemical systems, and high-throughput data environments. Essential Duties and Responsibilities Design and implement novel machine learning and deep learning models tailored to internal research needs Prototype and evaluate state-of-the-art algorithms, including Transformers, LLMs, and hybrid model architectures Conduct rigorous experimentation, benchmarking, and ablation studies Collaborate with battery scientists and domain experts to incorporate physical constraints or scientific priors into modeling Contribute to internal documentation and present research outcomes to technical and leadership teams Track and integrate advances from the ML research community to ensure technical excellence Required Qualifications Ph.D. (preferred) or M.S. in Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, or a closely related field Demonstrated expertise in model development, optimization, and algorithmic innovation Proficiency in Python and ML libraries/frameworks such as PyTorch, TensorFlow, etc. Solid understanding of learning theory concepts such as regularization, generalization, loss functions, and evaluation metrics Experience working with scientific or time-series datasets, especially in battery, materials, or energy domains, is highly desirable A publication record in top-tier ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR) is a strong plus Excellent communication, collaboration, and problem solving skills in interdisciplinary environments The US base salary range for this full-time position is $80,000.00 - $90,000.00 + 15% bonus + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Gotion Inc. is proud to be an equal opportunity employer. We are dedicated to fostering a diverse workforce that reflects the communities we serve, cultivating a culture of inclusion and belonging, and ensuring equal employment opportunities for all. We provide equal opportunity to all individuals regardless of race, creed, color, religion, gender, sexual orientation, gender identity or expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related conditions (including breastfeeding), parental status, criminal histories consistent with legal requirements, or any other characteristic protected by law. At Gotion Inc., we strive to create an environment where everyone feels valued, respected, and empowered to thrive.
Gotion Inc. is based in Silicon Valley, CA, currently building a manufacturing facility in Manteno, IL and has R&D centers in Ohio, China, Japan and Europe. We innovate in the next generation electric vehicle and energy storage technologies (lithium batteries and related systems) with the aim to accelerate electrified transportation and achieve sustainable development. Gotion is powered by a leading power battery technology company that provides solutions for vehicles including the world's first mass commercial e-bus route. About the Team The Product Development Team at Gotion Illinois New Energy Inc. focuses on the design and development of advanced battery products for next-generation energy storage system (ESS) and electric vehicle (EV) applications. We lead the full product development cycle, integrating mechanical, electrical, thermal, and control system to create high-performance battery solutions, along with comprehensive system integration, validation, and certification activities. Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background in model architecture design and algorithm development, ideally with experience in scientific domains such as battery technology, energy systems, or related physical sciences. This is a fully on-site role based in Manteno, IL focused on building innovative ML models from the ground up. You will collaborate closely with cross-disciplinary R&D teams to develop and deploy machine learning solutions that address real-world challenges in advanced materials, electrochemical systems, and high-throughput data environments. Essential Duties and Responsibilities Design and implement novel machine learning and deep learning models tailored to internal research needs Prototype and evaluate state-of-the-art algorithms, including Transformers, LLMs, and hybrid model architectures Conduct rigorous experimentation, benchmarking, and ablation studies Collaborate with battery scientists and domain experts to incorporate physical constraints or scientific priors into modeling Contribute to internal documentation and present research outcomes to technical and leadership teams Track and integrate advances from the ML research community to ensure technical excellence Required Qualifications Ph.D. (preferred) or M.S. in Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, or a closely related field Demonstrated expertise in model development, optimization, and algorithmic innovation Proficiency in Python and ML libraries/frameworks such as PyTorch, TensorFlow, etc. Solid understanding of learning theory concepts such as regularization, generalization, loss functions, and evaluation metrics Experience working with scientific or time-series datasets, especially in battery, materials, or energy domains, is highly desirable A publication record in top-tier ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR) is a strong plus Excellent communication, collaboration, and problem solving skills in interdisciplinary environments The US base salary range for this full-time position is $80,000.00 - $90,000.00 + 15% bonus + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Gotion Inc. is proud to be an equal opportunity employer. We are dedicated to fostering a diverse workforce that reflects the communities we serve, cultivating a culture of inclusion and belonging, and ensuring equal employment opportunities for all. We provide equal opportunity to all individuals regardless of race, creed, color, religion, gender, sexual orientation, gender identity or expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related conditions (including breastfeeding), parental status, criminal histories consistent with legal requirements, or any other characteristic protected by law. At Gotion Inc., we strive to create an environment where everyone feels valued, respected, and empowered to thrive.
InsideHigherEd
Chapel Hill, North Carolina
Department: Sch of Nursing - 440100 Career Area : Information Technology Posting Open Date: 10/23/2025 Application Deadline: 01/11/2026 Position Type: Temporary Staff (SHRA) Position Title : AI/LLM Developer/Engineer Position Number: Vacancy ID: S026301 Full-time/Part-time: Full-Time Temporary Hours per week: 40 Position Location: North Carolina, US Hiring Range: $26.04 - $33.85 per hour Estimated Duration of Appointment: 6 months not to exceed 11 months Be a Tar Heel!: A global higher education leader in innovative teaching, research and public service, the University of North Carolina at Chapel Hill consistently ranks as one of the nation's top public universities . Known for its beautiful campus, world-class medical care, commitment to the arts and top athletic programs, Carolina is an ideal place to teach, work and learn.One of the best college towns and best places to live in the United States, Chapel Hill has diverse social, cultural, recreation and professional opportunities that span the campus and community.University employees can choose from a wide range of professional training opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks that include numerous retail and restaurant discounts, savings on local child care centers and special rates for performing arts events. Primary Purpose of Organizational Unit: The mission of the School of Nursing is to enhance and improve the health and well-being of the people of North Carolina and the nation, and, as relevant and appropriate, the people of other nations, through its programs of education, research, and scholarship, and through clinical practice and community service. The University of North Carolina at Chapel Hill School of Nursing has been the leader in nursing education in North Carolina throughout its history. Established in 1950, it was the first school of nursing in North Carolina to offer a four-year baccalaureate nursing degree program followed by the first master's degree program, the first continuing education program for nurses, first doctoral program, and first accelerated BSN option to students with college degrees. Today, the School is renowned for its academic programs, its research and its commitment to clinical and community service within state, national and global communities. Position Summary: The Center for Virtual Care Value and Excellence (ViVE), led by Dr. Saif Khairat, is seeking an AI/LLM Developer/Engineer to join our AI research team. This is an exciting opportunity to contribute to innovative projects at the forefront of healthcare delivery improvement, leveraging Large Language Models (LLMs) and clinical data analysis. About the Position We are looking for individuals with a strong theoretical and practical background in large language models, machine learning, and natural language processing, combined with a collaborative spirit and a drive for problem-solving. You'll join a multidisciplinary team that values diversity and brings together expertise in software engineering, big data, clinical informatics, and medicine. Key Responsibilities Design, fine-tune, and evaluate large language models (LLMs) tailored to domain-specific applications using techniques such as transfer learning, LoRA, and reinforcement learning with human feedback (RLHF). Build intelligent applications powered by LLMs, including chatbots, virtual agents, clinical decision tools, or document analyzers, using frameworks like LangChain, LlamaIndex, or semantic search pipelines. Develop scalable LLM pipelines and infrastructure, including data ingestion, preprocessing, model serving (via GPU/TPU), and continuous performance monitoring. Integrate commercial and open-source LLMs (e.g., OpenAI GPT, Claude, Mistral, LLaMA) via APIs or local deployment into digital health or enterprise systems. Craft and iterate prompts using advanced prompt engineering and chain-of-thought strategies to improve output relevance, tone, factuality, and task completion. Implement retrieval-augmented generation (RAG) architectures to enhance context awareness using vector databases (e.g., Pinecone, FAISS, Weaviate). Evaluate LLM performance using automated and human-in-the-loop methods to assess accuracy, hallucination, safety, and user satisfaction. Collaborate across disciplines with data scientists, UX designers, domain experts, and MLOps to ensure usability, performance, and alignment with real-world needs. Monitor and optimize system performance, including latency, throughput, token usage, and model cost-effectiveness across deployment environments. Stay current with advancements in generative AI, contributing to the internal knowledge base and driving adoption of best practices for ethical and responsible LLM use. Minimum Education and Experience Requirements: Bachelor's degree in Computer Science, Computer Information Systems, Computer Engineering, or closely related degree from an appropriately accredited institution and three years of experience in operations analysis and design, systems programming, or closely related area; or a - Bachelor's degree from an appropriately accredited institution and four years of experience in operations analysis and design, systems programming or closely related area; or an Associate's degree in Computer Information Technology, Computer Engineering Technology, or Networking Technology from an appropriately accredited institution and five years of experience in operations analysis and design, systems programming, or closely related area; or an equivalent combination of education and experience. - Journey level requires an additional one year of education or experience. - Advanced level requires an additional two years of education or experience. Required Qualifications, Competencies, and Experience: Bachelor's degree in Computer Science, Electrical Engineering, or related fields. Expertise in Retrieval-Augmented Generation (RAG), Natural Language Processing (NLP), deep learning frameworks. Proficiency in Python and frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, or LangChain Familiarity with clinical or healthcare data (e.g., EHRs, clinical notes, structured claims data) Proven research record with peer-reviewed publications in relevant fields Strong problem-solving skills and the ability to work in a collaborative environment. Preferred Qualifications, Competencies, and Experience: Distributed parallel training and parameter-efficient tuning. Familiarity with multi-modal foundation models, HITL techniques, and prompt engineering. Experience with LLM fine-tuning, prompt engineering, or retrieval-augmented generation (RAG) Experience deploying large-scale machine learning models in cloud environments. Campus Security Authority Responsibilities: Not Applicable.
Department: Sch of Nursing - 440100 Career Area : Information Technology Posting Open Date: 10/23/2025 Application Deadline: 01/11/2026 Position Type: Temporary Staff (SHRA) Position Title : AI/LLM Developer/Engineer Position Number: Vacancy ID: S026301 Full-time/Part-time: Full-Time Temporary Hours per week: 40 Position Location: North Carolina, US Hiring Range: $26.04 - $33.85 per hour Estimated Duration of Appointment: 6 months not to exceed 11 months Be a Tar Heel!: A global higher education leader in innovative teaching, research and public service, the University of North Carolina at Chapel Hill consistently ranks as one of the nation's top public universities . Known for its beautiful campus, world-class medical care, commitment to the arts and top athletic programs, Carolina is an ideal place to teach, work and learn.One of the best college towns and best places to live in the United States, Chapel Hill has diverse social, cultural, recreation and professional opportunities that span the campus and community.University employees can choose from a wide range of professional training opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks that include numerous retail and restaurant discounts, savings on local child care centers and special rates for performing arts events. Primary Purpose of Organizational Unit: The mission of the School of Nursing is to enhance and improve the health and well-being of the people of North Carolina and the nation, and, as relevant and appropriate, the people of other nations, through its programs of education, research, and scholarship, and through clinical practice and community service. The University of North Carolina at Chapel Hill School of Nursing has been the leader in nursing education in North Carolina throughout its history. Established in 1950, it was the first school of nursing in North Carolina to offer a four-year baccalaureate nursing degree program followed by the first master's degree program, the first continuing education program for nurses, first doctoral program, and first accelerated BSN option to students with college degrees. Today, the School is renowned for its academic programs, its research and its commitment to clinical and community service within state, national and global communities. Position Summary: The Center for Virtual Care Value and Excellence (ViVE), led by Dr. Saif Khairat, is seeking an AI/LLM Developer/Engineer to join our AI research team. This is an exciting opportunity to contribute to innovative projects at the forefront of healthcare delivery improvement, leveraging Large Language Models (LLMs) and clinical data analysis. About the Position We are looking for individuals with a strong theoretical and practical background in large language models, machine learning, and natural language processing, combined with a collaborative spirit and a drive for problem-solving. You'll join a multidisciplinary team that values diversity and brings together expertise in software engineering, big data, clinical informatics, and medicine. Key Responsibilities Design, fine-tune, and evaluate large language models (LLMs) tailored to domain-specific applications using techniques such as transfer learning, LoRA, and reinforcement learning with human feedback (RLHF). Build intelligent applications powered by LLMs, including chatbots, virtual agents, clinical decision tools, or document analyzers, using frameworks like LangChain, LlamaIndex, or semantic search pipelines. Develop scalable LLM pipelines and infrastructure, including data ingestion, preprocessing, model serving (via GPU/TPU), and continuous performance monitoring. Integrate commercial and open-source LLMs (e.g., OpenAI GPT, Claude, Mistral, LLaMA) via APIs or local deployment into digital health or enterprise systems. Craft and iterate prompts using advanced prompt engineering and chain-of-thought strategies to improve output relevance, tone, factuality, and task completion. Implement retrieval-augmented generation (RAG) architectures to enhance context awareness using vector databases (e.g., Pinecone, FAISS, Weaviate). Evaluate LLM performance using automated and human-in-the-loop methods to assess accuracy, hallucination, safety, and user satisfaction. Collaborate across disciplines with data scientists, UX designers, domain experts, and MLOps to ensure usability, performance, and alignment with real-world needs. Monitor and optimize system performance, including latency, throughput, token usage, and model cost-effectiveness across deployment environments. Stay current with advancements in generative AI, contributing to the internal knowledge base and driving adoption of best practices for ethical and responsible LLM use. Minimum Education and Experience Requirements: Bachelor's degree in Computer Science, Computer Information Systems, Computer Engineering, or closely related degree from an appropriately accredited institution and three years of experience in operations analysis and design, systems programming, or closely related area; or a - Bachelor's degree from an appropriately accredited institution and four years of experience in operations analysis and design, systems programming or closely related area; or an Associate's degree in Computer Information Technology, Computer Engineering Technology, or Networking Technology from an appropriately accredited institution and five years of experience in operations analysis and design, systems programming, or closely related area; or an equivalent combination of education and experience. - Journey level requires an additional one year of education or experience. - Advanced level requires an additional two years of education or experience. Required Qualifications, Competencies, and Experience: Bachelor's degree in Computer Science, Electrical Engineering, or related fields. Expertise in Retrieval-Augmented Generation (RAG), Natural Language Processing (NLP), deep learning frameworks. Proficiency in Python and frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, or LangChain Familiarity with clinical or healthcare data (e.g., EHRs, clinical notes, structured claims data) Proven research record with peer-reviewed publications in relevant fields Strong problem-solving skills and the ability to work in a collaborative environment. Preferred Qualifications, Competencies, and Experience: Distributed parallel training and parameter-efficient tuning. Familiarity with multi-modal foundation models, HITL techniques, and prompt engineering. Experience with LLM fine-tuning, prompt engineering, or retrieval-augmented generation (RAG) Experience deploying large-scale machine learning models in cloud environments. Campus Security Authority Responsibilities: Not Applicable.