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Entry Level Machine Learning Jobs in California (NOW HIRING)

Muon Space

Software Engineer, Entry-Level

San Jose, CA

$142K - $169K/yr

... Entry-level software engineers are expected to bring significant skills and training, and then to ... Experience with mathematical optimization, machine learning, signal processing or advanced ...

New

SynergisticIT

data (Entry Level)

San Francisco, CA · On-site

$20 - $26.75/hr

From staffing to full implementation of projects we provide the highest quality IT Services. We Focus on Java/Full stack and Data Science/Machine learning/Python/AI candidates. You'll be responsible ...

Pwc

AI Engineer

San Diego, CA · On-site

$55K - $187K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI Engineer

Irvine, CA · On-site

$55K - $187K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI Engineer

San Francisco, CA · On-site

$55K - $187K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI Engineer

Sacramento, CA · On-site

$55K - $187K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI Engineer

Los Angeles, CA · On-site

$55K - $187K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

SynergisticIT

Entry Level Data Scientiest

Los Angeles, CA · On-site

$18 - $24/hr

Machine Learning Algorithms - Linear Regression, Logistic Regression, Decision Tree * Unsupervised/Clustering algorithms * NLP models, Deep Learning models for image classification Desired Candidate ...

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Entry Level Machine Learning information

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

As of Aug 7, 2026, the average hourly pay for entry level machine learning in California is $17.24, according to ZipRecruiter salary data. Most workers in this role earn between $15.43 and $18.75 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.

How to get into entry level machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, statistics, and data analysis. Gaining skills through online courses, practicing with projects, and learning tools like Python, TensorFlow, or scikit-learn can help build a portfolio; internships or entry-level positions can provide practical experience.

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.

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.

More about Entry Level Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in California? The most popular types of Machine Learning jobs in California are:
What are popular job titles related to Entry Level Machine Learning jobs in California? For Entry Level Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning jobs in California look for? The top searched job categories for Entry Level Machine Learning jobs in California are:
What cities in California are hiring for Entry Level Machine Learning jobs? Cities in California 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 California as of August 2026, with employment types broken down into 1% As Needed, 64% Full Time, 30% Part Time, 3% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $35,851 per year, or $17.2 per hour.

Research Engineer (San Francisco)

Skild AI

San Francisco, CA • On-site

$100K - $300K/yr

Full-time

Re-posted 9 days ago

Job description

Company Overview
At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.

Position Overview
We are hiring Research Engineers to develop scalable robotic systems aimed at achieving general-purpose robotic intelligence. In this role, you'll work with researchers and engineers to implement state-of-the-art machine learning and robot systems. The ideal candidate has a strong technical background, experience in turning research into practical solutions, and a drive to build impactful applications.

Responsibilities

  • Develop and implement new algorithms for training and optimizing general-purpose robot foundation models.
  • Design and engineer systems to scale research from prototypes to fully deployable solutions, working with large-scale systems and datasets.
  • Conduct cutting edge research across multiple disciplines (Perception, Robotics, RL/IL, Machine Learning, etc.).
  • Collaborate with a multidisciplinary team, contributing to the integration of research insights into practical robotics applications.
  • Optimize machine learning models for real-world robotic systems.

Preferred Qualifications

  • BS, MS or PhD degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
  • Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
  • Strong track record of publishing papers and/or deploying real-world applications.
  • Deep technical knowledge, and research experience in deep learning, reinforcement and/or imitation learning, robotics, or computer vision.
  • Experience working with robot systems and large-scale model training.

Base Salary Range: $100,000 - $300,000 USD

Seniority Level: Entry level

Employment Type: Full-time

Job Function: Engineering and Information Technology

Industries: Software Development

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