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Entry Level Google Machine Learning Engineer Jobs in California

Apple

Machine Learning Engineer

Cupertino, CA · On-site

Apple's Health Sensing team is seeking a versatile Machine Learning Engineer to develop next-generation health algorithms that deliver meaningful insights to users by combining classical ML, signal ...

Advantest

Machine Learning Engineer

San Jose, CA

Advantest is seeking a motivated Junior Machine Learning Engineer to support the development of datadriven and MLpowered solutions for semiconductor R&D, test, and operations teams. In this role,you ...

Gotion

Machine Learning Engineer

Fremont, CA

Machine Learning Engineer 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 ...

Hive

Machine Learning Engineer

San Francisco, CA · On-site

$120K - $180K/yr

Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the ...

Apple

Machine Learning Engineer

San Diego, CA · On-site

Apple's Health Sensing team is seeking a versatile Machine Learning Engineer to develop next-generation health algorithms that deliver meaningful insights to users by combining classical ML, signal ...

Gotion, Inc.

Machine Learning Engineer

Fremont, CA

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 ...

Motorola

Machine Learning Engineer

Los Angeles, CA

THE OPPORTUNITY Silvus is seeking a Machine Learning Engineer who will report to the R&D Director, Machine Learning on the R&D team. The successful individual in this role will focus on applying ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

$181K - $318K/yr

Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...

Nace AI

Machine Learning Engineer

Palo Alto, CA · On-site

As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine learning research into scalable, production-ready solutions. You will collaborate closely with cross ...

Nace AI

Machine Learning Engineer

Palo Alto, CA · On-site

As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine learning research into scalable, production-ready solutions. You will collaborate closely with cross ...

Wings of Destiny

Machine Learning Engineer

Malibu, CA · Remote

Role Overview We are seeking a Machine Learning Engineer (Volunteer) to help design, build, and deploy ML models that support our core initiatives. This is an excellent opportunity for someone ...

Motorola

Machine Learning Engineer

Los Angeles, CA

THE OPPORTUNITY Silvus is seeking a Machine Learning Engineer who will report to the R&D Director, Machine Learning on the R&D team. The successful individual in this role will focus on applying ...

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All JobsEntry Level Google Machine Learning Engineer JobsEntry Level Google Machine Learning Engineer Jobs in California

Entry Level Google Machine Learning Engineer information

What are Entry Level Google Machine Learning Engineers?

Entry Level Google Machine Learning Engineers are professionals who have recently started their careers in machine learning and work at Google. They typically assist in designing, developing, and deploying machine learning models to solve real-world problems. Their responsibilities may include data preprocessing, feature engineering, model training, evaluation, and collaborating with senior engineers and researchers. These roles often require a strong foundation in programming, mathematics, and statistics, as well as familiarity with machine learning frameworks such as TensorFlow or PyTorch. Entry Level Machine Learning Engineers at Google usually work on supervised projects and are mentored by more experienced team members.

What are the typical projects and responsibilities for an Entry Level Google Machine Learning Engineer?

As an Entry Level Machine Learning Engineer at Google, you can expect to work on a variety of projects ranging from building and optimizing machine learning models to supporting data preprocessing and feature engineering tasks. You will often collaborate with senior engineers, data scientists, and product teams to implement solutions that address real-world problems at scale. Your daily responsibilities may include coding in Python or TensorFlow, participating in code reviews, and troubleshooting model performance. This role offers hands-on experience with industry-leading tools and the opportunity to learn from experienced colleagues, making it a great foundation for career growth in AI and machine learning.

What is the difference between Entry Level Google Machine Learning Engineer vs Entry Level Data Scientist?

AspectEntry Level Google Machine Learning EngineerEntry Level Data Scientist
Required CredentialsBachelor's in CS, Math, or related; knowledge of ML frameworksBachelor's in CS, Stats, or related; strong analytical skills
Work EnvironmentDeveloping ML models, deploying algorithms, coding in Python/JavaData analysis, statistical modeling, data visualization
Employer & Industry UsageTech companies, especially Google, focusing on AI/ML productsVarious industries including tech, finance, healthcare

Entry Level Google Machine Learning Engineers focus on developing and deploying machine learning models, often requiring coding and understanding of ML frameworks. Entry Level Data Scientists analyze data, build statistical models, and create visualizations. While both roles require similar educational backgrounds, their daily tasks and focus areas differ, with ML Engineers more involved in algorithm implementation and Data Scientists in data analysis and insights.

What are the key skills and qualifications needed to thrive as an Entry Level Google Machine Learning Engineer, and why are they important?

To thrive as an Entry Level Google Machine Learning Engineer, you need a solid foundation in computer science, statistics, and mathematics, typically with at least a bachelor's degree in a related field. Familiarity with programming languages like Python or Java, experience using TensorFlow or PyTorch, and understanding of cloud platforms such as Google Cloud are essential technical requirements. Strong problem-solving skills, teamwork, and effective communication help you collaborate and convey complex concepts clearly. These skills and qualities are crucial for building scalable machine learning solutions and contributing effectively in a dynamic, innovative environment.
What are the most commonly searched types of Google Machine Learning Engineer jobs in California? The most popular types of Google Machine Learning Engineer jobs in California are:
What are popular job titles related to Entry Level Google Machine Learning Engineer jobs in California? For Entry Level Google Machine Learning Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Entry Level Google Machine Learning Engineer jobs in California look for? The top searched job categories for Entry Level Google Machine Learning Engineer jobs in California are:
What cities in California are hiring for Entry Level Google Machine Learning Engineer jobs? Cities in California with the most Entry Level Google Machine Learning Engineer job openings:
Entry Level Google Machine Learning Engineer jobs near you
Infographic showing various Entry Level Google Machine Learning Engineer job openings in California as of June 2026, with employment types broken down into 4% Locum Tenens, 88% Full Time, and 8% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.
Machine Learning Engineer

Machine Learning Engineer

Apple

Cupertino, CA • On-site

Full-time

Posted 13 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Apple's Health Sensing team is seeking a versatile Machine Learning Engineer to develop next-generation health algorithms that deliver meaningful insights to users by combining classical ML, signal processing, and emerging generative AI techniques. Our team has delivered impactful features including heart rate notifications, ECG, blood oxygen, sleep apnea notifications, and overnight vitals to millions of Apple Watch users.
This role is ideal for an engineer who enjoys moving quickly from idea to prototype to product, creatively overcoming data limitations, and applying new tools to multi-modal sensor fusion problems in health and wellness. You will work across the full algorithm lifecycle including data strategy, modeling, evaluation, optimization, and deployment.
Bachelors degree in Computer Science, Electrical Engineering, Biomedical Engineering, Statistics, Applied Mathematics, or related field, or equivalent industry experience.Strong foundation in machine learning, statistics, signal processing, or applied mathematics for real-world sensing problemsExperience applying modern AI techniques, including generative AI and agentic AI, to accelerate algorithm development, data generation, and performance evaluationProficiency in Python for algorithm development and optimizationDemonstrated ability to rapidly prototype, evaluate multiple approaches, and iterate based on experimental resultsExperience owning algorithm development from early exploration through validation and integration
Experience developing algorithms for physiological sensing using multi-modal dataFamiliarity with on-device ML frameworks or resource-constrained optimizationExperience working with incomplete, noisy, or limited datasetsBackground in experimental design and statistical validationExperience with distributed or cloud-based ML workflowsExperience accelerating development through simulation, synthetic data, or creative data augmentation approachesSelf-driven, curious engineer comfortable taking ambiguous sensing problems from concept to working solutions

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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