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Entry Level Machine Learning Jobs in Santa Rosa, CA

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Entry Level Machine Learning information

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$13

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$23

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

As of May 31, 2026, the average hourly pay for entry level machine learning in Santa Rosa, CA is $19.09, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $20.77 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 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 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 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 the most commonly searched types of Machine Learning jobs in Santa Rosa, CA? The most popular types of Machine Learning jobs in Santa Rosa, CA are:
What job categories do people searching Entry Level Machine Learning jobs in Santa Rosa, CA look for? The top searched job categories for Entry Level Machine Learning jobs in Santa Rosa, CA are:
What cities near Santa Rosa, CA are hiring for Entry Level Machine Learning jobs? Cities near Santa Rosa, CA with the most Entry Level Machine Learning job openings:
Associate Fleet Technician, Bay Area (Overnight)

Associate Fleet Technician, Bay Area (Overnight)

Nuro

Bodega Bay, CA

$28.50 - $38.25/hr

Full-time

Medical, Dental, Vision, PTO

Posted 9 days ago


Job description

This is a temporary, full-time position with full benefits, with an expected end date of 12 months from hire. This position is based on site in Santa Clara, CA 95054 and South San Francisco, CA 94080.

Who We Are

Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world's most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale, empowering a safer, richer, and more connected future.

About the Role

Our Fleet Management team is the core of Nuro's vehicle operations and customer experience. We are the customer support specialists, autonomous vehicle technicians, and vehicle operators who test, maintain, and ensure the operational readiness of our fleet.

The Associate Fleet Technician is a critical, entry-level technical role that provides the foundation for our vehicle operations. You will be instrumental in keeping our autonomous fleet on the road, learning the basics of maintaining sophisticated hardware and software systems. This role is perfect for a mechanically inclined individual who is eager to transition into the fast-paced world of robotics and autonomous vehicles.

About the Work

As an Associate Fleet Technician, you will:

  • Vehicle Readiness & Maintenance: Execute daily and weekly preventive maintenance checks (PMs) and tasks to ensure maximum vehicle up-time.
  • System Diagnostics & Troubleshooting: Perform initial triage and resolution of routine hardware and software issues, and hand off technical issues out of scope. This includes diagnosing basic faults using technical documentation and standardized tools, and providing clear, detailed notes on issues that require escalation for further root-cause analysis.
  • Component-Level Work: Execute minor mechanical repairs, part replacements, and system retrofits/modifications on Nuro vehicles and robotics according to engineering specifications.
  • Operational Support: Support the transfer, setup, and extraction of autonomous vehicles and robots in operational zones.
  • Process Adherence & Documentation: Follow standardized operating procedures (SOPs) and complete detailed digital checklists/work orders daily, ensuring accurate reporting and proper escalation of complex issues.
  • Response & Safety: Respond to and professionally handle operational or roadside emergencies with composure, prioritizing safety and clear communication.
  • Collaboration: Work cross-functionally with Engineering, Software, and Field Operations teams to provide critical feedback on vehicle performance and maintenance processes.
  • Workspace Management: Maintain a clean, highly organized, and safe technical work environment in compliance with all company and safety standards.
About You
  • Foundational Technical Experience: Proven experience (e.g., from an academic program, vocational training, or professional role) demonstrating basic technical/mechanical aptitude with vehicles, electronics, or complex machinery.
  • Technical Troubleshooting Mindset: Enjoy solving problems that require learning and understanding hardware, software, and electronic dependencies.
  • Attention to Detail: Proactive, task-driven, and highly organized with a strict attention to detail required for documentation and adhering to technical procedures.
  • Documentation Skills: Ability to effectively understand and follow complex technical documentation, schematics, or flowcharts related to hardware and software systems.
  • Physical Requirements: Ability to safely lift up to 50 lbs, bend, stand, and/or stoop for long periods to perform vehicle maintenance tasks.
  • Driving: A valid driver's license and a clean driving record.
  • Experience using vehicle diagnostic equipment
  • Experience working on ADAS systems
  • Basic understanding of Linux and capable to write basic code
Bonus Points
  • Relevant Training: Automotive, Robotics, IT, or Technical training/certification (e.g., ASE, CompTIA, vocational certificate).
  • High Voltage: High-Voltage (HV) Certification or Training
  • EV/AV Experience: Direct experience working with Electric Vehicles (EVs) or Autonomous Vehicle platforms.
  • Electrical Aptitude: Basic electrical troubleshooting skills, including multimeter use and knowledge of schematics.
  • Methodology: Familiarity with lean manufacturing concepts like 5S methodology or other continuous improvement practices..
  • Software Familiarity: Basic experience with Linux command-line interface or other relevant operating systems for diagnostics.
  • IPC certification
  • EPA 609 refrigerant certification

The total compensation package for this position includes base pay and a competitive benefits package including medical/dental/vision insurance, daily meal reimbursement, and paid time off in addition to limited company holidays. For this position, the reasonably expected base pay range is $30.10 - $40.73 per hour for the Overnight shift. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. You may also be eligible for a discretionary annual contract completion bonus based on company and individual performance.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.