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No Experience Machine Learning Jobs in Santa Rosa, CA

Ema

Software Engineer, Machine Learning

Bodega Bay, CA · On-site

$160K - $220K/yr

At least 2 years of industry experience in building and deploying production-level machine learning models. * Deep understanding and practical experience with NLP techniques and frameworks, including ...

Kotoba

Artificial Intelligence Researcher

Sonoma, CA · On-site

Since launch it has grown to a steady 2,000-3,000 new downloads per day and reached No. 1 in its ... A PhD or equivalent research experience in machine learning, speech processing, natural language ...

KenkoTech Futures

AI Scientist

Sonoma, CA · On-site

Outstanding research background in modern machine learning * Strong publication record at leading conferences or journals (NeurIPS, ICML, ICLR, Nature, Science, Cell, etc.) * Experience developing ...

KenkoTech Futures

AI Scientist

Santa Rosa, CA · On-site

Outstanding research background in modern machine learning * Strong publication record at leading conferences or journals (NeurIPS, ICML, ICLR, Nature, Science, Cell, etc.) * Experience developing ...

Acceler8 Talent

Research Engineer

Santa Rosa, CA · On-site

$300K/yr

... and applied machine learning. You'll work with petabyte-scale, multimodal time-series data ... Base salaries up to $300k + Significant equity for founding Engineers No export controls, but you ...

Acceler8 Talent

Research Engineer

Sonoma, CA · On-site

$300K/yr

... and applied machine learning. You'll work with petabyte-scale, multimodal time-series data ... Base salaries up to $300k + Significant equity for founding Engineers No export controls, but you ...

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No Experience Machine Learning information

See Santa Rosa, CA salary details

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How much do no experience machine learning jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for no experience machine learning in Santa Rosa, CA is $24.95, according to ZipRecruiter salary data. Most workers in this role earn between $21.54 and $27.84 per hour, depending on experience, location, and employer.

What kinds of projects or learning opportunities can I expect in a no experience machine learning role?

In a no experience machine learning role, you will often start by assisting with data preprocessing, exploring datasets, and supporting more experienced engineers on real-world projects. You may also participate in internal trainings, mentorship programs, or hands-on workshops to build up your technical skills. Collaboration is common, so expect regular team meetings and opportunities to pair-program or seek guidance from senior colleagues. Over time, as you gain proficiency, you may be assigned small-scale projects or research tasks, providing a clear pathway to take on more complex responsibilities. This supportive environment is designed to help you gradually develop expertise and advance your career in machine learning.

What are the key skills and qualifications needed to thrive in the no experience machine learning position, and why are they important?

To thrive in an entry-level machine learning role with no prior experience, you should possess a solid understanding of mathematics (especially statistics and linear algebra), basic programming knowledge (often in Python), and a willingness to learn. Familiarity with popular data science tools and frameworks such as scikit-learn, TensorFlow, or online courses and certifications in machine learning is advantageous. Curiosity, problem-solving abilities, and effective communication are soft skills that help you work collaboratively and adapt to new challenges. These attributes are important because they enable quick learning, help you contribute to team projects, and support your growth in a rapidly evolving technical field.

Can you get a machine learning job with no experience?

Entry-level machine learning roles often require some knowledge of programming, statistics, and data analysis, but many employers are willing to hire candidates with little to no experience if they demonstrate strong foundational skills and a willingness to learn. Building a portfolio through online courses, projects, and certifications can improve chances of securing such positions. Internships and apprenticeships are also common pathways for those new to the field.

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 are popular job titles related to No Experience Machine Learning jobs in Santa Rosa, CA?

For No Experience Machine Learning jobs in Santa Rosa, CA, the most frequently searched job titles are:

What job categories do people searching No Experience Machine Learning jobs in Santa Rosa, CA look for?

The top searched job categories for No Experience Machine Learning jobs in Santa Rosa, CA are:

What cities near Santa Rosa, CA are hiring for No Experience Machine Learning jobs?

Cities near Santa Rosa, CA with the most No Experience Machine Learning job openings:

No Experience Machine Learning jobs near you
Infographic showing various No Experience Machine Learning job openings in Santa Rosa, CA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 24% Part Time, 1% Temporary, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $51,898 per year, or $25 per hour.

Machine Learning / Data Scientist

PROPRIUS

Bodega Bay, CA

Full-time

Re-posted 10 days ago

Job description

Machine Learning Engineer

Location: San Francisco, CA

Sponsorship: No

Relocation: No

Industry: Machine Learning

Our client is a digital invention agency focused on machine learning methodologies, enterprise mobile and web applications, eCommerce, augmented reality and IoT. They look to innovatively make this world a better place with each and every product, system, idea and app they release.

Job Summary

Our client is looking for a machine learning engineer to join our existing ML team in developing and refining a predictive application.

The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.

You must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. You must have a proven ability to drive business results with their data-based insights. You must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

As a ML Engineer, you will:

  • Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business solutions
  • Mine and analyze data from databases to drive optimization and improvement of product development, marketing techniques and business strategies
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques
  • Develop custom data models and algorithms to apply to data sets
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes
  • Coordinate with different functional teams to implement models and monitor outcomes
  • Develop processes and tools to monitor and analyze model performance and data accuracy

For this role you will need:

  • Strong with Statistics and can code in either R, Python, Java and Scala
  • Experience with designing and building using micro-services architectural pattern, web APIs using dotnet core & C#
  • Experience and passion for simulations, optimization, neural networks, artificial intelligence (deep learning and machine learning)
  • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, GIT, SQL, etc.
  • Able to understand statistical solutions and execute similar activities
  • Experience in data wrangling and advanced analytic modeling
  • Strong communication and organizational skills and has the ability to deal with ambiguity while juggling multiple priorities and projects at the same time
  • Experience visualizing/presenting data for stakeholders using: Seaborn, Business Objects, D3, ggplot, etc.
  • Ability to investigate the feasibility and data requirements necessary to develop an ML solution for a given problem
  • Ability to design, build and test production ready ML-based products while interpreting and explaining the basis for predictions generated by ML models

The perfect candidate will have:

  • Knowledge and experience using one or more of the following, or similar, machine learning software frameworks: CAFFE, Torch 7, Keras and Tensorflow
  • Experience building production-ready NLP or information retrieval systems
  • Hands-on experience with NLP tools, libraries and corpora (e.g. NLTK, Stanford CoreNLP, Wikipedia corpus, etc.)

PROPRIUS is an AI Industry recruiting firm. We’re lucky enough to recruit the best candidates into the most exciting companies all over the United States. We deliver performance.
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