ZipRecruiter

Log In

1

Battery Machine Learning Jobs in California (NOW HIRING)

Cheetah Mobile

Chief Scientist - AI

Palo Alto, CA · On-site

Our mission critical applications, including Clean Master, CM Security, Battery Doctor and Duba ... Build up and lead a team of machine learning scientists evolving distinctive practices

Sila

Staff Applied ML Engineer

Alameda, CA · On-site

About Us We are Sila, a next-generation battery materials company. Our mission is to power the ... Build and deploy machine learning models for anomaly detection, fault classification, process ...

Sila

Staff Applied ML Engineer

Alameda, CA

About Us We are Sila, a next-generation battery materials company. Our mission is to power the ... Build and deploy machine learning models for anomaly detection, fault classification, process ...

next page

Showing results 1-20

All JobsBattery Machine Learning JobsBattery Machine Learning Jobs in California

Battery Machine Learning information

What are the key skills and qualifications needed to thrive as a Battery Machine Learning Engineer, and why are they important?

To thrive as a Battery Machine Learning Engineer, you need a strong background in machine learning, data analysis, and battery science, typically supported by a degree in engineering, computer science, or a related field. Familiarity with Python, TensorFlow or PyTorch, data processing tools, and battery management system (BMS) software is highly valued. Strong problem-solving skills, collaboration, and effective communication set standout professionals apart in this role. These skills are essential to develop accurate predictive models that optimize battery performance and longevity, driving innovation in energy storage technologies.

What is battery machine learning and what do professionals in this field do?

Battery machine learning involves the application of machine learning algorithms to analyze, predict, and optimize the performance, lifespan, and safety of batteries. Professionals in this field work on developing data-driven models to forecast battery degradation, enhance energy management systems, and improve battery design. Their work is crucial in sectors such as electric vehicles, renewable energy storage, and consumer electronics, where battery efficiency and reliability are key. By leveraging large datasets from battery usage and testing, they help accelerate innovation and reduce costs in battery technology.

What are some common challenges faced by professionals working in Battery Machine Learning roles?

Professionals in Battery Machine Learning often encounter challenges related to limited or noisy datasets, as battery performance data can be expensive and time-consuming to collect. Additionally, integrating domain knowledge from electrochemistry with advanced machine learning techniques requires strong interdisciplinary collaboration. Staying up-to-date with both the latest AI methods and battery technology advancements is essential but can be demanding. Collaborating closely with researchers, engineers, and data scientists is a key aspect of the role, as projects frequently depend on cross-functional teamwork to translate predictive insights into practical battery innovations.
What are popular job titles related to Battery Machine Learning jobs in California? For Battery Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Battery Machine Learning jobs in California look for? The top searched job categories for Battery Machine Learning jobs in California are:
What cities in California are hiring for Battery Machine Learning jobs? Cities in California with the most Battery Machine Learning job openings:
Battery Machine Learning jobs near you
Infographic showing various Battery Machine Learning job openings in California as of July 2026, with employment types broken down into 94% Full Time, 4% Part Time, 1% Temporary, and 1% Contract. Highlights an 99% Physical, and 1% Remote job distribution.

Chief Scientist - AI

Cheetah Mobile

Palo Alto, CA • On-site

Full-time

Retirement

Posted 6 days ago

Job description

Description
Job description
Title: Chief Scientist - AI
Location: San Francisco Bay Area - Palo Alto, California
Who We Are
Cheetah Mobile (NYSE: CMCM) is a leading, profitable global mobile internet company founded and based in Beijing, China. We also have built our dual HQ in Palo Alto, California. We aim to provide the best apps for mobile users worldwide, while building a leading global mobile ad platform for advertisers. Our mission is to Make the World Smarter.
Our mission critical applications, including Clean Master, CM Security, Battery Doctor and Duba Anti-virus, help make the internet and mobile experience speedier, simpler, and safer for users worldwide. We have 600+ million global mobile monthly active users, and we're continuing to grow! We also provide multiple user traffic entry points and global content promotional channels capable of delivering targeted content to hundreds of millions of users.
We invest in the latest technologies and trends, such as robotics, artificial intelligence, and data-driven content strategies.
Learn more about us at: www.cmcm.com
What will you be doing...
Cheetah Mobile is looking for a Chief Scientist in AI to lead Cheetah Research Lab in Palo Alto. We are committed to advancing the field of artificial intelligence by building technologies to help our users create a deeper connection with the world around us. We're looking for talented individuals interested in: deep learning, natural language processing (NLP), machine translation, video analysis, computer vision, computational statistics, speech, images, and applied mathematics.
  • Responsible for the development strategy, technical path, and key technology direction
  • Lead research in advanced Artificial Intelligence, Machine Learning, and Deep Learning, majorly focusing on the long-term research topics
  • Build up and lead a team of machine learning scientists evolving distinctive practices
  • Publication, presentation, and contribution as a thought leader in the field of machine learning and AI

What we are looking for:
  • Ph.D. in Machine Learning or related fields from a highly reputable institution
  • 8+ years of hands-on research experience in Deep Learning and related fields, industrial experience required
  • Highly cited publications in relevant fields
  • Deep insight in machine learning and deep learning
  • Extensive experience in natural language process (NLP), Machine translation, and/or video analysis
  • Experience with Caffe/TensorFlow/Torch or similar deep learning frameworks
  • Programming experience with R/Scala/C++/Python, or other related programming languages
  • Strong passion in technology and willingness to make an impact

What's in it for you?
  • Opportunity build up and lead a world class team in AI
  • Work in a start-up environment with a profitable company
  • Free lunches daily
  • Excellent benefits
  • Monthly team building events
  • International travel opportunities
  • 401(K) with match
  • 12 weeks of fully paid maternity / 6 weeks for paternity leave

It is the policy of Cheetah Mobile to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Cheetah Mobile will provide reasonable accommodations for qualified individuals with disabilities.

Apply