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Machine Learning Intern Jobs in Santa Rosa, CA (NOW HIRING)

Turning Point Community Programs

Intern

Santa Rosa, CA

$16.50 - $21.75/hr

What sets TPCP apart, is the richness of the diversity of experiences in environments where the tone is of hope, optimism and enthusiasm as each intern moves towards their learning goals in their ...

HUNEEUS VINTNERS LLC

Harvest Intern

Sebastopol, CA

$20 - $24/hr

Harvest Cellar Intern Manager Cellar Master Department: Production - Seasonal Full-time Location ... Ability to safely operate various machines * Able to stand for long periods of time Company ...

Far Niente Winery

Harvest Intern

Napa, CA

$22/hr

Harvest Intern, Bella Union Winery, Far Niente Wine Estates Join our Company which is rich in history and stature. Rooted in Rutherford and driven by expertise and creative vision, Bella Union was ...

Winery Division

Harvest Intern

Angwin, CA · On-site

$25 - $26/hr

CADE Estate Winery Harvest Intern Position- Come join the team! CADE Estate is dedicated to crafting stunning estate grown Howell Mountain Cabernet Sauvignon and Napa Valley Sauvignon Blanc. Located ...

Duckhorn Wine Company

Harvest Lab Intern

Windsor, CA · On-site

$22 - $25/hr

We seek a Seasonal Lab Intern to join the team. This role is responsible for fermentation monitoring, tank and barrel sampling, and wine analysis. It is expected that repeatable, accurate sampling ...

Duckhorn Wine Company

Harvest Lab Intern

Geyserville, CA · On-site

$22 - $25/hr

We seek a Seasonal Lab Intern to join the team. This role is responsible for fermentation monitoring, tank and barrel sampling, and wine analysis. It is expected that repeatable, accurate sampling ...

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All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Santa Rosa, CA

Machine Learning Intern information

See Santa Rosa, CA salary details

$27.9K

$46.6K

$96.2K

How much do machine learning intern jobs pay per year?

As of May 31, 2026, the average yearly pay for machine learning intern in Santa Rosa, CA is $46,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,500.00 and $50,300.00 per year, depending on experience, location, and employer.

What Does a Machine Learning Intern Do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

What are the key skills and qualifications needed to thrive as a Machine Learning Intern, and why are they important?

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What types of projects do Machine Learning Interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What is the difference between Machine Learning Intern vs Data Science Intern?

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

More about Machine Learning Intern jobs
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 Machine Learning Intern jobs in Santa Rosa, CA look for? The top searched job categories for Machine Learning Intern jobs in Santa Rosa, CA are:
What cities near Santa Rosa, CA are hiring for Machine Learning Intern jobs? Cities near Santa Rosa, CA with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Santa Rosa, CA as of May 2026, with employment types broken down into 50% Full Time, 38% Part Time, 4% Temporary, 4% Contract, and 4% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $46,558 per year, or $22.4 per hour.
Research Intern - Reinforcement Learning (RL) - Onsite

Research Intern - Reinforcement Learning (RL) - Onsite

Level AI

Bodega Bay, CA

$17.75 - $23.75/hr

Other

Posted 5 days ago

Job description

 Build the next generation of Agentic AI with us

Our platform combines conversation intelligence, multimodal understanding, and agentic AI systems to power both human agents and autonomous AI agents across the entire customer experience lifecycle.

A core part of this vision is our investment in custom Small Language Models (SLMs)-purpose-built for CX workflows-paired with reinforcement learning systems that continuously improve decision-making in real-world environments.

We're looking for a Research Intern (Reinforcement Learning) to join us in shaping this future.

What you'll do
 

  • Design and build reinforcement learning environments that model real-world customer interaction workflows.

  • Design RL agents that learn from these environments using real-world interaction data, rewards, and feedback loops

  • Define reward models and feedback loops using real-world signals (outcomes and human feedback)

  • Enable learning from production data by structuring interaction traces into training-ready datasets for offline and online learning

  • Experiment with multi-agent systems and simulation frameworks for complex coordination and decision-making

  • Collaborate with engineering and product teams to deploy, evaluate, and iterate on learning systems in production at scale.

What we're looking for

  • Currently pursuing (or recently completed) a degree in Computer Science, AI, Machine Learning, or related field

  • Strong understanding of reinforcement learning fundamentals

  • Familiarity with RL environments and training libraries such as Verl and Tinker

  • Strong foundation in probability, math, and optimization

  • Passion for building real-world AI systems

Nice to have

  • Experience with RLHF, LLM/SLM fine-tuning, or model alignment

  • Exposure to agent-based systems or multi-agent RL

  • Prior research, projects, or publications in RL or applied ML

  • Experience working with large-scale or production datasets

Why Level AI

  • Work on production-grade Agentic AI systems used by leading enterprises

  • Build alongside a team with deep expertise from Amazon, Google, and Meta

  • Be part of a fast-growing Series C AI company.

  • Direct exposure to 01 AI innovation in CX and decisioning systems

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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