Machine Learning Engineer
Fremont, California
Live, first seen by us today- Pay
$110,000–135,000/year · BaseAnnual period assumed — pay source
Excellent communication, collaboration, and problem-solving skills in interdisciplinary environments The US base salary range for this full-time position is $110,000.00 - $135,000.00 + 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.
Read the full posting- Work setting
On-site — work setting source
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 Fremont, CA 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.
Read the full posting- Employment
- Not stated
What you’ll work on
Full postingWe 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.
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.
Design and implement novel machine learning and deep learning models for internal research
Prototype and benchmark state-of-the-art algorithms, including Transformers and LLMs
Run rigorous experiments, benchmarking and ablation studies
Work with battery scientists to build physical constraints into models
Present research outcomes to technical and leadership teams
From the employer’s posting
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 Fremont, CA 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.
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
present research outcomes to technical and leadership teams
What you’ll bring
All qualificationsCore experience
- 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
- Excellent communication, collaboration, and problem-solving skills in interdisciplinary environments
Preferred experience
- Experience working with scientific or time-series datasets, especially in battery, materials, or energy domains, is highly desirable
Qualification wording
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
Excellent communication, collaboration, and problem-solving skills in interdisciplinary environments
Experience working with scientific or time-series datasets, especially in battery, materials, or energy domains, is highly desirable
Education & alternatives
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
Tools in this posting
- Python
- PyTorch
- TensorFlow
Source — Tool mentions in context
- 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
Posting record
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- Live
- First seen by us
- Nov 4, 2026today
- Recorded sightings
- 1
- Reposted
- once since Jul 26, 2026
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Job description
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.
Gotion is a career destination - we are not simply attempting to just fill another job, but to pursue a dream of global green energy together! We offer outstanding opportunities to individuals seeking an exciting and challenging working environment. Everyone is highly valued and plays a vital role in the growth of our organization.
About The Team
The Product Development Team at Gotion Inc., 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 Fremont, CA 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 $110,000.00 - $135,000.00 + 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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Excellent communication, collaboration, and problem-solving skills in interdisciplinary environments The US base salary range for this full-time position is $110,000.00 - $135,000.00 + 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.
- Location & working pattern
Fremont, California
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 Fremont, CA 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.
More source context
- 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
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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