Machine Learning Engineer

Gotion, Inc.
Fremont, CA
On-site

Who this role is best for

Best suited to candidates with advanced degrees in ML or related fields working in battery technology and energy systems.

Best fit for

  • Candidates with advanced degrees in ML or related fields and experience in scientific domains like battery technology.
    — “Ph.D. (preferred) or M.S. in Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, or a closely related field”
  • Individuals who can integrate physical constraints into ML models and work in interdisciplinary teams.
    — “Collaborate with battery scientists and domain experts to incorporate physical constraints or scientific priors into modeling”
  • Candidates with a background in developing novel ML models for high-throughput data environments.
    — “Design and implement novel machine learning and deep learning models tailored to internal research needs”

Things to consider

  • The role is fully on-site in Fremont, CA, with no mention of remote flexibility.
    — “This is a fully on-site role based in Fremont, CA”
  • Salary may vary based on location and individual qualifications, not just the stated range.
    — “The US base salary range for this full-time position is $110,000.00 - $135,000.00”

How to stand out

  • Highlight experience with scientific or time-series data, especially in battery or materials domains.
    — “Experience working with scientific or time-series datasets, especially in battery, materials, or energy domains, is highly desirable”
  • Showcase a track record of publishing in top-tier ML conferences like NeurIPS or ICML.
    — “A publication record in top-tier ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR) is a strong plus”
  • Demonstrate proficiency with PyTorch or TensorFlow in your resume and technical interviews.
    — “Proficiency in Python and ML libraries/frameworks such as PyTorch, TensorFlow, etc.”
  • Emphasize your ability to prototype and evaluate advanced algorithms like Transformers and LLMs.
    — “Prototype and evaluate state-of-the-art algorithms, including Transformers, LLMs, and hybrid model architectures”
  • Demonstrate your capacity to communicate complex models to both technical and leadership teams.
    — “Contribute to internal documentation and present research outcomes to technical and leadership teams”
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · Individual

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • novel ML models
  • state-of-the-art algorithms
  • rigorous experimentation
Typical background
Ph.D. or M.S. in Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics

Skills & requirements

Required

Machine LearningDeep LearningModel Architecture DesignAlgorithm DevelopmentScientific DomainsBattery TechnologyElectrochemical Systems

Preferred

Publications In Top-tier ML Conferences

Stack & domain

PythonPyTorchTensorFlowCommunicationCollaborationProblem-solvingMachine LearningBattery TechnologyEnergy Systems

About the role

Original posting from Gotion, Inc. via Greenhouse

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: Gotion, Inc. careers (Greenhouse)

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