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Machine Learning Jobs in Rancho Cordova, CA (NOW HIRING)

Accenture

AWS Technical Architect

Sacramento, CA · On-site

$69 - $90.75/hr

As AWS' deepest strategic partner in the ecosystem, AABG leveragescutting-edgeengineering, high-performance computing (HPC), artificial intelligence (AI), machine learning (ML), and advanced data ...

AEG

Director, Data Science

Sacramento, CA · On-site

Evaluate opportunities to apply machine learning, AI, optimization, and other emerging analytical techniques to business challenges where they can create measurable value or improve operational ...

InnerPlant

Agronomic Modeler (Corn)

Davis, CA · On-site

$125K - $175K/yr

Create and assess the performance of statistical and machine learning models for corn disease risk and spray timing, validating against field observations from our Midwest research network and our ...

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Showing results 41-60

All JobsMachine Learning JobsMachine Learning Jobs in Rancho Cordova, CA

Machine Learning information

See Rancho Cordova, CA salary details

$27.2K

$45.4K

$93.9K

How much do machine learning jobs pay per year?

As of Sep 2, 2026, the average yearly pay for machine learning in Rancho Cordova, CA is $45,427.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,700.00 and $49,100.00 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 job categories do people searching Machine Learning jobs in Rancho Cordova, CA look for?

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

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

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

Machine Learning jobs near you
Infographic showing various Machine Learning job openings in Rancho Cordova, CA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $45,427 per year, or $21.8 per hour.

Looking for Benefits Specialist- Remote with onsite training

Trilyon, Inc.

Sacramento, CA • Remote

$25.60/hr

Contractor

Re-posted 27 days ago

Job description

For over 16 years, Trilyon has been at the forefront of providing comprehensive global workforce solutions and staffing services. Leveraging our extensive expertise across multiple domains such as Cloud technology, Salesforce, AI, Machine Learning, and Technical Writing, we consistently exceed expectations in catering to a wide range of requirements.
Currently we are seeking a “ Benefits Specialist ” for one of our clients that is a leading multinational corporation.
Title:  Benefits Specialist
Location: Remote with onsite training (Sacramento, CA 95833)

Duration: 6 Months contract
Pay Rate: $25.60/hr on W2(All Inclusive) 

Job Description:

  • Remote with onsite training
  • Prepares, processes, uploads, and maintains new member or group registration information in the enrollment database.
    Responds to member or group eligibility questions, including verifying enrollment status. reconciling eligibility discrepancies, analyzing transactional data, and submitting retroactive eligibility changes, as needed. Generates various types of member correspondence.
    Maintains inventory control of member and group transactions.