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Machine Learning Jobs in Ventura, CA (NOW HIRING)

Sr. Machine Learning Engineer

Santa Barbara, CA · On-site

$112K - $154K/yr

Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next generation of voice and conversational AI agents within Realm-X. This role helps define AppFolio ...

Sr. Machine Learning Engineer

Santa Barbara, CA · On-site

$112K - $154K/yr

Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next generation of voice and conversational AI agents within Realm-X. This role helps define AppFolio ...

Sr. Machine Learning Engineer

Santa Barbara, CA · On-site +1

$116K - $159K/yr

Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next generation of voice and conversational AI agents within Realm-X. This role helps define AppFolio ...

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Showing results 1-20

Machine Learning information

See Ventura, CA salary details

$27.3K

$45.6K

$94.2K

How much do machine learning jobs pay per year?

As of Sep 1, 2026, the average yearly pay for machine learning in Ventura, CA is $45,561.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,800.00 and $49,200.00 per year, depending on experience, location, and employer.

What is a machine learning?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the typical day-to-day responsibilities in a machine learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What are the key skills and qualifications needed to thrive in a machine learning position?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Is machine learning a high paying job?

Machine learning engineers and specialists are generally among the higher-paid roles in the tech industry due to their advanced skills in algorithms, programming, and data analysis. Salaries vary based on experience, location, and industry, but the field is known for competitive compensation compared to many other tech roles.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

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

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

What job categories do people searching Machine Learning jobs in Ventura, CA look for?

The top searched job categories for Machine Learning jobs in Ventura, CA are:

What cities near Ventura, CA are hiring for Machine Learning jobs?

Cities near Ventura, CA with the most Machine Learning job openings:

Infographic showing various Machine Learning job openings in Ventura, CA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $45,561 per year, or $21.9 per hour.

Sr Machine Learning Engineer

Teklead Corp

Agoura Hills, CA • On-site

$67 - $80/hr

Full-time

Re-posted 22 days ago


Job description

US CITIZENS & PERMANENT RESIDENTS ONLY
Job Location: Westlake Village, CA (Onsite, NO REMOTE)
Excellent contract-to-hire job opportunity

Looking for a Sr. ML NLP Developer to join an Artificial Intelligence team. Join our Tech hub and work in a collaborative environment where talent is valued and creativity is encouraged. 
 
Description:
 
●       Work on state of the art Machine Learning, Natural Language Processing and Gen AI projects.
●       Learn new technologies and focus on what you're passionate about.
 
Qualifications::
 
●     3+ years experience with Machine Learning and Natural Language Processing
●     4+ years experience with Python 
●     Experience with ML NLP & AI libraries.
●     Experience with AWS services.
●     Experience with SQL.
●     Experience with NER and Search technology such BM25, BM42 is  a plus
●     Experience with Gen AI, Agentic AI , LLM training  is a plus.
●     BS in Computer Science or equivalent degree (MS in ML is preferred).
●     Ability to work in an agile collaborative environment.
●     Excellent  communication skills are required.