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Entry Level Machine Learning Engineer Jobs in California

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 ...

You are looking to be an impeccable machine learning engineer working on cutting-edge AI solutions ... level * Entry level Employment type * Full-time Job function * Engineering and Information ...

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 ...

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions ...

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions ...

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'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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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Entry Level Machine Learning Engineer information

See California salary details

$29.6K

$68.5K

$116.5K

How much do entry level machine learning engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for entry level machine learning engineer in California is $68,454.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,800.00 and $77,500.00 per year, depending on experience, location, and employer.

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

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are the most commonly searched types of Machine Learning Engineer jobs in California? The most popular types of Machine Learning Engineer jobs in California are:
What cities in California are hiring for Entry Level Machine Learning Engineer jobs? Cities in California with the most Entry Level Machine Learning Engineer job openings:
Infographic showing various Entry Level Machine Learning Engineer job openings in California as of June 2026, with employment types broken down into 14% Internship, 70% Full Time, 8% Part Time, and 8% Temporary. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $68,454 per year, or $32.9 per hour.

Machine Learning Engineer

Advantest

San Jose, CA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

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'llcontribute to building predictive models, conducting statistical analyses, andassistingin the development of lighttomoderate data pipelines that help transform complex semiconductor datasets into actionable insights.

This position is ideal for a recent graduate with strong foundational ML skills whoiseager to learn, collaborate, and grow in a fastpaced, technically rich environment.You'llwork alongside experienced engineers, data scientists, and domain experts while gaining handson experience across the ML lifecycle-from data preparation to model deployment

Key Responsibilities

Machine Learning & Advanced Analytics

  • Develop and evaluate ML models (e.g., classification, anomaly detection, regression, timeseries analysis).
  • Perform feature engineering andexploratorydata analysis on semiconductor datasets.
  • Contribute to model deployment workflows in collaboration with MLdata scientists, followingMLOpsbest practices.
  • Assistin implementing model monitoring, retraining workflows, and documentation.
  • Experiment with modern analytics techniques, including LLMbased or generativeAI methods, under guidance from senior team members.

Data Engineering & Pipeline Support

  • Help build and maintain ETL/ELT workflows that prepare data for analysis and modeling.
  • Support data quality checks, versioning, and data validation tasks.
  • Work with cloudand onpremtools to help ensure data accessibility for ML applications.

CrossFunctional Collaboration

  • Work with semiconductor engineers and data scientists to translate domain challenges into analytical tasks.
  • Support the creation of dashboards, reports, and visualizations that communicate insights clearly.
  • Learn and apply semiconductorspecific data concepts with the support of senior mentors.