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Entry Level Machine Learning Jobs in Campbell, CA

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 ...

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

As of Sep 3, 2026, the average hourly pay for entry level machine learning in Campbell, CA is $20.21, according to ZipRecruiter salary data. Most workers in this role earn between $18.08 and $21.97 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.
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What are the most commonly searched types of Machine Learning jobs in Campbell, CA?

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

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

Cities near Campbell, 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 Campbell, 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, 2% Hybrid, and 15% Remote job distribution, with an average salary of $42,045 per year, or $20.2 per hour.

GenAI Engineer (Python)

Evolver

Palo Alto, CA • On-site

Full-time

Re-posted 19 days ago

Job description

About Us:We're an innovative tech startup on a mission to change the game in professional services through Generative AI. By blending deep industry expertise with powerful AI-driven automation, we're building tools that make complex tasks easier, faster, and more accurate. As a new team member, you'll have the chance to learn, grow, and make a meaningful impact on our projects and products.Role Overview:We're looking for a motivated Software Developer who's ready to jump into the world of Generative AI! This is an amazing opportunity for a recent graduate with a passion for Python and a strong interest in AI development. You'll work alongside a supportive team to develop, test, and refine products that use cutting-edge AI technology to automate complex tasks in the professional services industry.Key Responsibilities:
  • Hands-on Development: Work with our team to develop and test AI-powered software solutions.
  • Collaborate: Partner with product managers, senior developers, and industry experts to understand project goals and deliver effective solutions.
  • Problem-Solving: Support the team in troubleshooting challenges, brainstorming solutions, and refining features to improve performance.
  • Learn and Grow: Gain experience with AI tools, frameworks, and cloud platforms under the guidance of senior team members.
  • Stay Updated: Keep learning about AI, machine learning, and software development to grow your skills.

Qualifications:
  • Education:
    • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Technical Skills:
    • Proficiency in Python and libraries such as PyTorch, Pandas, NumPy, or similar.
    • Familiarity with fundamental concepts in data structures and algorithms.
    • Preferred:
      • Experience with LLMs from OpenAI, Anthropic, Google, or Meta and their application in chatbots, RAG systems, and agents
      • Experience with Cloud development, preferably Azure (e.g., Azure App Service, Azure Functions, Azure Database Services, Azure AI services, and Azure Search).
  • Soft Skills:
    • Ability to communicate and work well in a team.
    • Attention to detail and a proactive approach to problem-solving.
    • Enthusiasm for technology and a passion for innovation.
    • Willingness to learn and adapt quickly.

What We Offer:
  • Competitive Entry-Level Salary: Reflecting your skills and potential.
  • Flexible Work: Work options to support your lifestyle.
  • Growth Opportunities: Hands-on experience and professional development.
  • Cutting-Edge Environment: Work at the forefront of AI and technology.

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