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Entry Level Machine Learning Jobs in Berkeley, CA

At least a B.S. in Computer Science, Machine Learning, AI, or a related field. Exceptional ... Seniority level Entry level Employment type Full‑time Job function Engineering and Information ...

Business Recruiter

Foster City, CA · On-site

$123K - $167K/yr

... entry-level to experienced hires. You will work closely with hiring managers and will be given ... Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the ...

CNC Programmer - A

Hayward, CA · On-site

$34.50 - $38.24/hr

Program for CNC machining center using Inventor and SolidWorks software. * Program for CNC plate ... ROLE REQUIREMENTS: * Entry level position, recent Engineering or Engineering Technician graduates ...

CNC Programmer - A

Hayward, CA · On-site

$34.50 - $38.24/hr

Program for CNC machining center using Inventor and SolidWorks software. * Program for CNC plate ... ROLE REQUIREMENTS: * Entry level position, recent Engineering or Engineering Technician graduates ...

CNC Programmer - A

Hayward, CA · On-site

$34.50 - $38.24/hr

Program for CNC machining center using Inventor and SolidWorks software. * Program for CNC plate ... ROLE REQUIREMENTS: * Entry level position, recent Engineering or Engineering Technician graduates ...

Are you interested in learning valuable technical skills? U-Haul is seeking a hard-working ... parts, machines, fumes, or irritating chemicals. May be required to use protective clothing, or ...

Are you interested in learning valuable technical skills? U-Haul is seeking a hard-working ... parts, machines, fumes, or irritating chemicals. May be required to use protective clothing, or ...

Engineering Technician

San Bruno, CA · On-site

$24.40 - $65.40/hr

In this entry-level role, you will support the assembly, testing, and basic prototyping of ... Skills in CNC machining, sheet metal, PCBA assembly and wire harness builds. Role Requirements

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Entry Level Machine Learning information

See Berkeley, CA salary details

$15

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

As of Sep 9, 2026, the average hourly pay for entry level machine learning in Berkeley, CA is $21.38, according to ZipRecruiter salary data. Most workers in this role earn between $19.13 and $23.27 per hour, depending on experience, location, and employer.

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 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 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.

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, certifications, and participating in competitions like Kaggle can also improve your chances of entering the field without prior experience.

What are the most commonly searched types of Machine Learning jobs in Berkeley, CA?

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

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

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

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

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

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

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

Infographic showing various Entry Level Machine Learning job openings in Berkeley, CA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 27% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $44,480 per year, or $21.4 per hour.

Software Engineer, Account Authentication

San Mateo, CA • On-site

Roblox
Software Development • 51 - 200 employees

Full-time

Posted 28 days ago


Job description

As a Software Engineer on the Account Authentication Team, you will help authenticate and authorize Roblox's user base, setting the foundation for every other feature on our platform.
You will build the authentication and security controls that meet each user's needs, along with just-in-time friction that adapts to each user's unique risk profile, all while scaling to 1 billion active users.

This is a rare opportunity to sit at the convergence of security, user experience, and scale. You'll join Roblox's Safety organization, whose mission is to become the leader in civil immersive online communities by detecting, removing, and preventing problematic accounts, content, and behavior, and by keeping accounts secure and free from compromise. The team draws on a broad tech spectrum, including machine learning, classifiers, experimentation, automation, and AI-powered filters, partnering with product teams to shape the roadmap, build safety products, and measure impact on our community of users and developers.

You Will:

  • Own the design, implementation and landing of features that make Roblox more secure and more accessible for users of all ages on all platforms.
  • Collaborate cross-organizationally with partner teams in Growth, Discovery and the broader Roblox Safety org.
  • Help define how goals get accomplished and have real influence over product direction.
  • Influence how users first experience Roblox, often forming their baseline expectations for what security should look like on the internet.
  • Instrument and analyze user interaction data (A/B tests, usage metrics) to inform design decisions and maximize product impact.
  • Own implementation end to end across the stack, contributing in Rust, C++, and Lua as projects require, using AI tools wherever possible.

You Have:

  • 1-3 years of experience in Software Engineering/Computer Science
  • Experience working on user facing applications or services
  • Proficiency in one or more programming languages such as Rust, C#, and Javascript.
  • Experience collaborating cross-functionally with Product stakeholders to define requirements and deliver technical solutions.
  • A strong commitment to designing, implementing, and maintaining systems that prioritize user safety, data integrity, and compliance with safety policies.