ZipRecruiter

Log In

2

Entry Level Machine Learning Jobs in California (NOW HIRING)

Generalist AI, Inc

Research Assistant

San Mateo, CA · On-site

$150K - $200K/yr

We are looking for a Research Assistant to help design, run, and analyze experiments at the intersection of machine learning and robotics. This is an entry-level research role for individuals with ...

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 ...

Entegris

Machine Technician

San Luis Obispo, CA · On-site

$22 - $24/hr

Education assistance to support your learning journey. * Values-driven culture with colleagues that ... Entegris does not intend to hire experienced or entry level job seekers who will need, now or in ...

Entegris

Machine Technician

San Luis Obispo, CA

$22 - $24/hr

Education assistance to support your learning journey. * Values-driven culture with colleagues that ... Entegris does not intend to hire experienced or entry level job seekers who will need, now or in ...

Gantri

Printer Operator (Entry Level)

San Leandro, CA

$20/hr

... and learning post processing and finishing techniques that bring each product to its final ... Harvest completed print jobs and prepare machines for the next production run. * Swap materials and ...

Gantri

Printer Operator (Entry Level)

San Leandro, CA

$20/hr

... and learning post processing and finishing techniques that bring each product to its final ... Harvest completed print jobs and prepare machines for the next production run. * Swap materials and ...

Gantri

Printer Operator (Entry Level)

San Leandro, CA · On-site

$20/hr

... and learning post processing and finishing techniques that bring each product to its final ... Harvest completed print jobs and prepare machines for the next production run. * Swap materials and ...

Entegris

Machine Technician

San Luis Obispo, CA · On-site

$22 - $24/hr

Education assistance to support your learning journey. * Values-driven culture with colleagues that ... Entegris does not intend to hire experienced or entry level job seekers who will need, now or in ...

Sidecar

Software Engineer - Fraud

San Francisco, CA

Strong engineering background coupled with experience around machine learning, pattern recognition, etc. * Code using primarily Python, Nodejs and PHP. * Work closely with other engineers on the team ...

Amazon

Machinist, Quantum Computing

Pasadena, CA

$23.75 - $32.50/hr

This is an entry-level hardware position designed for candidates who have completed a precision ... In this role, you will support the CNC machine shop with parts production and day-to-day shop ...

Amazon

Machinist, Quantum Computing

Pasadena, CA

$23.75 - $32.50/hr

This is an entry-level hardware position designed for candidates who have completed a precision ... In this role, you will support the CNC machine shop with parts production and day-to-day shop ...

next page

Showing results 1-20

All JobsMachine Learning JobsEntry Level Machine Learning JobsEntry Level Machine Learning Jobs in California

Entry Level Machine Learning information

See California salary details

$12

$17

$21

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

As of Jul 14, 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.

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 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 July 2026, with employment types broken down into 1% Locum Tenens, 85% Full Time, 12% Part Time, 1% Temporary, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $35,851 per year, or $17.2 per hour.

Research Assistant

Generalist AI, Inc

San Mateo, CA • On-site

$150K - $200K/yr

Full-time

Posted 18 days ago

Job description

About the Role:
We are looking for a Research Assistant to help design, run, and analyze experiments at the intersection of machine learning and robotics. This is an entry-level research role for individuals with less than 3 years of research experience, and is designed to be a potential career path towards eventually contributing as a Research Scientist.
At Generalist, we are building foundation models for robots. These models improve through a tight feedback loop: design experiments, collect data, train or fine-tune models, evaluate them in the real world, analyze results, and repeat. This role helps make that loop faster, more rigorous, and more reliable.
You will work closely with ML researchers and robotics engineers to run robot experiments, design evaluation tasks, brainstorm ideas, collect data, interpret results, and document repeatable workflows.
A major part of this role is helping ensure our evaluations are trustworthy. We care deeply about experimental design, controls, hands-on iteration, sample sizes, variance, repeatability, and statistical rigor.
You'll be responsible for:
  • Running structured experiments on robot platforms
  • Setting up physical tasks, materials, fixtures, and benchmarks for robot evaluations
  • Collecting high-quality robot data and tracking experimental conditions
  • Measuring real-world success rates across tasks, robots, and model variants
  • Designing evaluations with attention to controls, repeatability, statistical rigor, and sources of bias
  • Analyzing results to help distinguish real model improvements from noise
  • Synthesizing findings and communicating them clearly to ML researchers and engineers
  • Preparing robots, sensors, workspaces, and materials for rollouts and evaluations
  • Helping kick off training jobs, run evaluations, and organize results
  • Beta testing internal and third-party tools for teaching robots new skills
  • Troubleshooting physical setups, hardware issues, and procedural bottlenecks
  • Writing clear documentation and playbooks so others can reproduce workflows
  • Improving experimental reliability, data quality, and operational throughput over time
You might thrive in this role if you:
  • Have experience running experiments, lab studies, field studies, data collection workflows, or structured evaluations
  • Think carefully about experimental design, confounding factors, controls, sample sizes, variance, and what conclusions the data can actually support
  • Are diligent and detail-oriented, especially when tasks are repetitive but subtle differences matter
  • Enjoy hands-on work with physical systems, equipment, materials, or instruments
  • Are comfortable following protocols while also noticing when something is wrong or could be improved
  • Can coordinate many moving parts: robots, materials, tasks, data, model versions, metrics, and documentation
  • Communicate clearly and can summarize what happened, what changed, and what the evidence suggests
  • Are curious about machine learning and robotics, even if you are not yet an expert in either
  • Have some exposure to programming, data analysis, robotics, hardware, electronics, mechanical assembly, or experimental tooling
  • Prefer fast iteration, careful measurement, and empirical progress over abstract theory alone
About Generalist
At Generalist, we are on a mission to make general-purpose robots a reality. We believe the industries and homes of the future will depend on humans and machines working together in new ways. Robots can help us build more and get more done.
We build embodied foundation models, starting with a focus on dexterity. This requires advancing the frontiers of data, models, and hardware, to enable robots to intelligently interact with the physical world.
The company embraces both large-scale AI and robotics as core to its DNA. Our team of researchers, roboticists, and company builders come from OpenAI, Boston Dynamics, Google DeepMind, and other frontier labs-with a track record of shipping AI breakthroughs. Before Generalist, we pioneered large embodied multimodal models and vision-language-action models (PaLM-E, RT-2, Gemini Robotics), launched and scaled ChatGPT and GPT-4 to hundreds of millions of users, engineered the foundations of autonomous driving, built next-generation robots (Atlas, Spot, Stretch) and pushed the limits of what they can do (from parkour to manipulation, and testing robustness).
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

Apply