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Machine Learning Jobs in Simi Valley, CA (NOW HIRING)

Voxelcloud

Machine Learning Engineer

Los Angeles, CA · On-site

Develop deep learning models for prototyping and production purposes according to product feature request * Design, implement and test model experiments using major deep learning frameworks

Voxelcloud

Machine Learning Engineer

Los Angeles, CA · On-site

Develop deep learning models for prototyping and production purposes according to product feature request * Design, implement and test model experiments using major deep learning frameworks

Rule14

Data Scientist Machine Learning

Santa Monica, CA · On-site

$75K - $100K/yr

As a Data Scientist Machine Learning, you will work within a small data science team focusing on predictive modeling, natural language processing, computer vision, recommender systems, and OCR ...

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All JobsMachine Learning JobsMachine Learning Jobs in Simi Valley, CA

Machine Learning information

See Simi Valley, CA salary details

$26.3K

$44K

$90.8K

How much do machine learning jobs pay per year?

As of Sep 12, 2026, the average yearly pay for machine learning in Simi Valley, CA is $43,959.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,500.00 and $47,500.00 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 Simi Valley, CA?

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

What are popular job titles related to Machine Learning jobs in Simi Valley, CA?

For Machine Learning jobs in Simi Valley, CA, the most frequently searched job titles are:

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

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

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

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

Machine Learning jobs near you
Infographic showing various Machine Learning job openings in Simi Valley, CA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $43,959 per year, or $21.1 per hour.

Machine Learning Engineer

Los Angeles, CA • On-site

Ascent Developer Solutions
See more jobs at Ascent Developer Solutionsexternal

$123K - $148K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 8 days ago

Job description

About Ascent
Ascent Developer Solutions is a leading private lending platform, serving real estate developers nationwide in the acquisition, renovation, and construction of residential real estate. Founded by a leadership team with a deep understanding and personal experience in virtually every facet of real estate development, Ascent is uniquely positioned to create custom, innovative lending solutions for a variety of real estate development business strategies.
ROLE SUMMARY
The Machine Learning Engineer is a major contributor in driving our company's innovation and data-driven decision-making. By harnessing advanced analytics, machine learning, and big data technologies, this role directly impacts strategic business outcomes, revealing actionable insights and predicting trends that shape the future of our operations. Embedded at the intersection of data and strategy, the Data Scientist empowers the organization to navigate complex challenges, optimize performance, and unlock new growth opportunities.
ESSENTIAL DUTIES
Data and analysis
  • Analyze public records and other real estate data using NLP and machine learning techniques to identify patterns and cluster entities.
  • Develop methods for evaluating and selecting large language models (LLMs) for deployment.
  • Build predictive models to identify potential borrowers, likelihood of default, and quality/valuations of properties for lending activities.
  • Identify new business opportunities through tracking competitor trends and keeping management aware of developer lending market trends and insights.
  • Assist in fostering a culture of test & learn within the company.

Leadership
  • Serve as analytics consultant to a broad variety of line-of-business teams.
  • Partner with technology teams on product changes and impacts on data/performance.
  • Mentor junior analysts on various data science techniques.

QUALIFICATIONS
  • Bachelor's degree in quantitative field.
  • 5-7 years of experience in analytical or consulting roles.
  • Strong data science skills with AI/ML related Python libraries such as PyTorch, TensorFlow, and Keras. Conceptual knowledge of LLM's.
  • Strong knowledge of statistics, hypothesis testing, and setting up experiments.
  • Must have deployed several models to production.
  • Exposure to data engineering skills.
  • Strong communication and partnership skills, effective cross-department collaboration skills.
  • Self-starter who can work under limited supervision.
  • Mentoring skills to help develop junior analysts.

WORK ENVIRONMENT
  • This role works on-site from Ascent's Encino office 2 days per week

THE PAY
Salary range is $130,000-$150,000 per year, with a discretionary bonus of 20% per year.
Our Benefits
We offer a comprehensive benefits package designed to support your health, well-being, and work-life balance. Our benefits include four health plans, two dental plans, health savings account with employer contribution, flexible spending accounts, vision coverage, a 401(k) plan, and other optional benefits from which to choose.
Our Pledge
We pledge to be fair and considerate in hiring and promoting individuals, ensuring everyone can contribute their fullest potential regardless of background, identity, or personal circumstances. By promoting equal opportunity, we not only enhance our workplace but also contribute to a more just and equitable society. At Ascent, we stand united in building a community where everyone is empowered to succeed. Thank you for joining us on our journey towards a more inclusive future.

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