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Entry Level Machine Learning Engineer Jobs in Pleasanton, CA

PayPal, Inc.

Machine Learning Engineer

San Jose, CA · On-site

$117K - $138K/yr

This job will assist in designing, developing, and implementing machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and ...

TikTok

Machine Learning Engineer, Commerce Ads

San Jose, CA · On-site

$162K - $316K/yr

We are seeking Machine Learning Engineers who can help us to improve our existing delivery system that optimizes for advertisers' true business objectives, i.e. desired user value and effectiveness ...

Voltai

Machine Learning Engineer

Palo Alto, CA · On-site

Strong AI/ML engineering skills from top tier CS, EECS, Math and Physics programs. * Proven track record of delivering AI/ML projects from concept to production. * Hands-on experience fine-tuning and ...

Voltai, Inc

Machine Learning Engineer

Palo Alto, CA · On-site

Strong AI/ML engineering skills from top tier CS, EECS, Math and Physics programs. * Proven track record of delivering AI/ML projects from concept to production. * Hands-on experience fine-tuning and ...

Voltai

Machine Learning Engineer

Palo Alto, CA · On-site

$180 - $240/hr

Strong AI/ML engineering skills from top tier CS, EECS, Math and Physics programs. * Proven track record of delivering AI/ML projects from concept to production. * Hands‑on experience fine‑tuning ...

Apple Inc.

Machine Learning Engineer, SIML

Cupertino, CA · On-site

$216 - $325/hr

Description We are seeking a machine learning research engineer with experience building modern generative models based on diffusion and auto-regressive technologies. The ideal candidate has solid ML ...

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Entry Level Machine Learning Engineer information

See Pleasanton, CA salary details

$33.4K

$77.2K

$131.3K

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

As of Sep 6, 2026, the average yearly pay for entry level machine learning engineer in Pleasanton, CA is $77,193.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,300.00 and $87,400.00 per year, depending on experience, location, and employer.

What is an entry level machine learning engineer?

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 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 are the key skills and qualifications needed to thrive as an entry level machine learning engineer?

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 the most commonly searched types of Machine Learning Engineer jobs in Pleasanton, CA?

The most popular types of Machine Learning Engineer jobs in Pleasanton, CA are:

What are popular job titles related to Entry Level Machine Learning Engineer jobs in Pleasanton, CA?

For Entry Level Machine Learning Engineer jobs in Pleasanton, CA, the most frequently searched job titles are:

What job categories do people searching Entry Level Machine Learning Engineer jobs in Pleasanton, CA look for?

The top searched job categories for Entry Level Machine Learning Engineer jobs in Pleasanton, CA are:

What cities near Pleasanton, CA are hiring for Entry Level Machine Learning Engineer jobs?

Cities near Pleasanton, CA with the most Entry Level Machine Learning Engineer job openings:

Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Pleasanton, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $77,193 per year, or $37.1 per hour.

Machine Learning Video Processing Engineer

Apple

Cupertino, CA • On-site

Full-time

Re-posted 23 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 683 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Imagine the impact of your work - technologies you help create will be experienced by over a billion people every day. At Apple, you'll have the opportunity to contribute to products that consistently set industry standards and, at times, redefine the world. Our team is responsible for developing the core image and video technologies used in nearly all Apple products and services. We are seeking a motivated and adaptable Machine Learning Video Processing Engineer who thrives in technically challenging environments and is eager to push the boundaries of innovation.
Description
We are seeking a Machine Learning Engineer to help develop Apple's next-generation video processing algorithms. In this role, you will collaborate closely with a dynamic team of Apple engineers to design and implement machine learning-based image and video processing technologies that power both current and future Apple products.
Responsibilities include, but not limited to:
- Develop, implement, and optimize machine learning based video processing algorithms
- Contribute to data collection, curation, analysis and processing for algorithm training and evaluation
- Research and evaluate state-of-the-art learning-based methods for low-level vision tasks
Minimum Qualifications
BS and a minimum of 3 years relevant industry experience
Hands on experience on image/video processing, machine learning and computer vision
Programming skills in Python, Java, or C/C++
Preferred Qualifications
PhD degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields
Project experience on low level computer vision algorithms such as spatial/temporal filtering, image enhancement, or video analysis
Publication record in top tier conferences (e.g., CVPR, ICCV, ICIP, SIGGRAPH, etc)
Excellent written and oral communication skills

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

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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