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Entry Level Machine Learning Jobs in Pleasanton, CA

SynergisticIT

Junior Web Application Developer

Sunnyvale, CA · On-site

$78K - $101K/yr

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

MSR-FSR

Entry Level Technician- semiconductor

Santa Clara, CA · On-site

$21.25 - $25/hr

Learning + Development: You will receive comprehensive, on the job training that will include ... of the machinery components that go into the manufacturing of semiconductors. This work is about ...

MSR-FSR

Entry Level Technician- semiconductor

Santa Clara, CA · On-site

$21.25 - $25/hr

Learning + Development: You will receive comprehensive, on the job training that will include ... of the machinery components that go into the manufacturing of semiconductors. This work is about ...

Evolver

GenAI Engineer (Python)

Palo Alto, CA · On-site

Keep learning about AI, machine learning, and software development to grow your skills ... Competitive Entry-Level Salary: Reflecting your skills and potential. * Flexible Work: Work options ...

Evolver

GenAI Engineer (Python)

Palo Alto, CA

Keep learning about AI, machine learning, and software development to grow your skills ... Competitive Entry-Level Salary: Reflecting your skills and potential. * Flexible Work: Work options ...

XPENG

AI Intern - VLA Deployment

Santa Clara, CA

... machine learning, and smart connectivity. The Mission: Vision-Language-Action (VLA) models and ... We are looking for an entry-level engineer or intern to support the optimization and deployment of ...

XPENG

AI Intern - VLA Deployment

Santa Clara, CA · On-site

... machine learning, and smart connectivity. The Mission: Vision-Language-Action (VLA) models and ... We are looking for an entry-level engineer or intern to support the optimization and deployment of ...

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Entry Level Machine Learning information

See Pleasanton, CA salary details

$13

$19

$24

How much do entry level machine learning jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for entry level machine learning in Pleasanton, CA is $19.44, according to ZipRecruiter salary data. Most workers in this role earn between $17.40 and $21.15 per hour, depending on experience, location, and employer.

What types of projects can an entry-level machine learning professional expect to work on in their first year?

As an entry-level machine learning professional, you’ll typically start by supporting more senior data scientists and engineers with tasks such as data cleaning, exploratory data analysis, and building baseline models. You may work on pilot projects like developing recommendation systems, automating simple classification tasks, or contributing to model evaluation and performance tuning. Collaboration with cross-functional teams—including software engineers, product managers, and domain experts—is common, providing valuable exposure to real-world business problems and laying a foundation for more complex responsibilities as you gain experience.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or data science executives, often requiring advanced skills, extensive experience, and specialized knowledge. These positions usually involve leadership, strategic planning, and the development of complex AI systems, and they tend to be found in large tech companies or specialized AI firms.

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

To thrive as an Entry Level Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially in Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems like Git, and data analysis libraries is commonly required. Strong problem-solving abilities, curiosity, and effective communication skills help differentiate candidates in collaborative and fast-evolving environments. These skills and qualifications are essential for building, testing, and improving machine learning models that drive innovation and business value.

What is the difference between Entry Level Machine Learning vs Data Analyst?

AspectEntry Level Machine LearningData Analyst
Required CredentialsBachelor's in CS, Math, or related; some knowledge of programming and statisticsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, startups, research labs; focus on developing models and algorithmsBusiness, finance, marketing; focus on interpreting data and generating reports
Employer & Industry UsageTech, e-commerce, healthcare; roles involve building predictive modelsRetail, finance, consulting; roles involve analyzing data trends and insights

Entry Level Machine Learning roles focus on developing algorithms and models using programming and statistical skills, often in tech-driven environments. Data Analysts interpret and visualize data to support business decisions, typically using tools like Excel and SQL. While both roles require analytical skills, Machine Learning positions emphasize coding and model development, whereas Data Analysts focus on data interpretation and reporting.

Which 3 jobs will survive AI?

Entry level machine learning roles are likely to persist as they require specialized knowledge in data analysis, programming, and domain expertise that AI tools currently cannot fully replicate. Jobs involving complex problem-solving, creativity, and human interaction, such as data scientists, AI ethics specialists, and AI system trainers, are also expected to remain in demand. Developing skills in programming languages like Python and understanding of algorithms will enhance job security in this field.

How to get into machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, mathematics, and data analysis. Gaining skills through online courses, tutorials, and practicing with projects using tools like Python and libraries such as scikit-learn or TensorFlow can help build a portfolio. Earning certifications or completing relevant coursework can also improve job prospects for beginners.

What are entry level machine learning jobs?

Entry level machine learning jobs are positions designed for individuals just starting their careers in the field of machine learning. These roles typically involve working on data preparation, building and testing basic models, and assisting senior data scientists or engineers. Common job titles include Machine Learning Engineer, Data Analyst, or Junior Data Scientist. Requirements often include proficiency in programming languages such as Python, foundational knowledge of statistics, and experience with machine learning libraries. These jobs provide hands-on experience and mentorship to help new professionals grow their skills.

What Are Entry-Level Machine Learning Jobs?

Entry-level machine learning jobs focus on creating and using software for the development of artificial intelligence (AI). In this role, you may help program computer software, engineer mechanical solutions, help develop learning objectives, and use analytics to determine whether or not the technology created is meeting development goals. Many entry-level machine learning jobs focus on particular parts of the industry. For example, some companies focus on surveillance and intelligence, while others are creating technology for self-driving vehicles. Employers often use this position as a type of extended learning period to help you develop your skills before you start taking responsibility for major projects.

What jobs pay $4000 a week without a degree?

Entry-level machine learning roles typically do not pay $4000 a week without advanced skills or certifications. High-paying tech jobs often require specialized knowledge, experience, or degrees, but some freelance data scientists or AI consultants with strong portfolios can reach high earnings through project-based work. Most roles at this pay level generally demand experience or advanced training beyond entry-level positions.
More about Entry Level Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Pleasanton, CA? The most popular types of Machine Learning jobs in Pleasanton, CA are:
What job categories do people searching Entry Level Machine Learning jobs in Pleasanton, CA look for? The top searched job categories for Entry Level Machine Learning jobs in Pleasanton, CA are:
What cities near Pleasanton, CA are hiring for Entry Level Machine Learning jobs? Cities near Pleasanton, CA with the most Entry Level Machine Learning job openings:
Entry Level Machine Learning jobs near you
Infographic showing various Entry Level Machine Learning job openings in Pleasanton, CA as of July 2026, with employment types broken down into 81% Full Time, 16% Part Time, 1% Temporary, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $40,428 per year, or $19.4 per hour.

Machine Learning Engineer - Agentic AI

Apple

Sunnyvale, CA • On-site

Full-time

Re-posted 23 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 675 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

The VCV organization has pioneered human-centric, real-time technologies such as Face ID, FaceKit, and gaze and hand gesture control, transforming how millions of people interact with their devices by balancing research and product requirements to deliver Apple-quality experiences through full-stack innovation and close collaboration across HW, SW, and AI teams. Our team develops and integrates large language models (LLMs) and other cutting-edge AI techniques to enhance the autonomy and intelligence of our agentic systems.
We are looking for an experienced engineer to design and build end-to-end agentic systems. This role focuses on developing systems that integrate large language models, tools, and data systems to execute multi-step workflows in production environments. You will work across the full stack to translate complex problems into reliable, scalable systems.
Description
You will design and implement agentic systems built around large language models (LLMs) that extend beyond traditional machine learning pipelines. The work will require making tradeoffs between latency, cost, accuracy, and controllability, including decisions between deterministic pipelines and adaptive, LLM-driven approaches within agentic system design.
Minimum Qualifications
Proven knowledge of cutting-edge agentic systems.
Demonstrated experience designing and shipping agentic systems in production environments.
Strong proficiency with LLM-assisted coding, including using AI tools to design, implement, and iterate on complex systems.
Proven ability to design end-to-end systems, making architectural decisions across multiple components (e.g., services, data pipelines, integrations).
Preferred Qualifications
Demonstrated track record of building and shipping agentic or LLM-based products, with visible portfolio (e.g., apps, open-source projects), or recognized contributions such as publications in top-tier conferences or impactful technical work.
Experience developing and deploying computer vision and machine learning (CVML) systems in production environments.
Strong system design experience, including defining and evolving architecture for complex, multi-component systems.
Experience taking products from concept to launch, including delivering user-facing applications at scale or in real-world environments.

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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