2

Entry Level Machine Learning Engineer Jobs in Pleasanton, CA

Bee Genius is building the future of work and is seeking an AI/Machine Learning Engineer to join their team. The role involves developing and implementing machine learning models and algorithms to ...

Machine Learning Engineer

Dublin, CA · On-site

$90 - $130/hr

We are seeking machine learning engineers to join our team full-time. As part of your role, you will help us build pipelines of data collection, data extraction, data filtering/synthetic data ...

We are seeking machine learning engineers to join our team full-time. As part of your role, you will help us build pipelines of data collection, data extraction, data filtering/synthetic data ...

They are seeking a Machine Learning Engineer to translate research into scalable solutions, collaborating with teams to architect robust systems and integrate AI-driven features into applications.

We are looking for a Machine Learning Engineer to join and play a big part in the next revolution of Maps; to enable users to find more things in innovative ways. On our team, you will have plenty of ...

The Machine Learning Engineer will architect and develop high-performance AI systems, manage large-scale datasets, and translate state-of-the-art research into production-ready code while ...

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 ...

We are looking for a Machine Learning Engineer to join and play a big part in the next revolution of Maps; to enable users to find more things in innovative ways. On our team, you will have plenty of ...

MindSource is seeking a Machine Learning Engineer to join their Strategic Data Solutions team. The role involves crafting, implementing, and operating analytical solutions that improve security ...

We are looking for Machine Learning Engineers who have built product models from idea to delivery. You are passionate about digging into data, cleaning it, analyzing it, generating ideas, and ...

Aven is seeking Machine Learning Engineers who are passionate about building product models from idea to delivery. In this role, you will maintain models in production, build infrastructure for ...

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 ...

As a Senior Machine Learning Engineer (MLE 40), you will design, build, and deploy models that understand text, images, documents, and other content modalities to power search, recommendations, and ...

As a Senior Machine Learning Engineer (MLE 40), you will design, build, and deploy models that understand text, images, documents, and other content modalities to power search, recommendations, and ...

Machine Learning Engineer

Mountain View, CA · On-site +1

$196K - $221K/yr

As a Machine Learning Engineer, you'll bring your strong software engineering mindset to machine learning in order to scale and optimize our ML systems-creating and transforming innovative research ...

We invite you to help us build that future. (See how people use Elicit today on Twitter; explore our vision in the roadmap.) About the role As a Machine Learning Engineer at Elicit, you'll build ...

Showing results 21-40

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:

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.

AI/Machine Learning Engineer

BeeGenius

Sunnyvale, CA • On-site

Full-time

Re-posted 27 days ago


Job description

Job Summary:
Bee Genius is building the future of work and is seeking an AI/Machine Learning Engineer to join their team. The role involves developing and implementing machine learning models and algorithms to address complex business challenges.
Responsibilities:
• Design and develop machine learning models and algorithms
• Train and evaluate models using large datasets
• Optimize and fine-tune models for performance and accuracy
• Collaborate with data scientists and software engineers to integrate models into production systems
• Stay updated with the latest advancements in AI and machine learning
• Ensure the ethical use of AI technologies
Qualifications:
Required:
• Master's or Ph.D. in Computer Science, Data Science, or a related field
• Strong programming skills in Python or R
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch)
• Knowledge of statistical analysis and data visualization techniques
• Understanding of deep learning architectures and algorithms
• Excellent problem-solving and critical-thinking skills
Company:
We are a leading technology, digital, and outsourcing services company. Founded in 2014, the company is headquartered in , , with a team of 2-10 employees. The company is currently Early Stage.