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Machine Learning Jobs in Davis, CA (NOW HIRING)

Staffingine LLC

AI Engineer

Woodland, CA · On-site

Design develop and deploy machine learning models and algorithms using Python Lead data science projects from concept to implementation ensuring timely delivery and quality outcomes * Perform ...

Pwc

AI Solutions Engineering Delivery Lead

Sacramento, CA

$109K - $144K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Terabase Energy

Robotics Software Engineer

Woodland, CA · On-site

We are hiring an AI Engineer to embed with our mechanical and controls engineering teams and implement physical AI: systems where computer vision and machine learning models perceive the physical ...

New

OceanAI, LLC

Software Engineer

Sacramento, CA · On-site

$100 - $130/hr

Hands‑on experience with AI and machine learning frameworks (TensorFlow, PyTorch) * Knowledge of IoT communication protocols such as MQTT or CoAP * Familiarity with containerization and ...

New

Terabase Energy

Robotics Software Engineer

Woodland, CA · On-site

We are hiring an AI Engineer to embed with our mechanical and controls engineering teams and implement physical AI: systems where computer vision and machine learning models perceive the physical ...

New

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All JobsMachine Learning JobsMachine Learning Jobs in Davis, CA

Machine Learning information

See Davis, CA salary details

$27.6K

$46K

$95.1K

How much do machine learning jobs pay per year?

As of Sep 2, 2026, the average yearly pay for machine learning in Davis, CA is $46,028.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,100.00 and $49,700.00 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 Davis, CA?

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

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

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

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

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

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

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

Machine Learning jobs near you
Infographic showing various Machine Learning job openings in Davis, CA as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 28% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $46,028 per year, or $22.1 per hour.

AI Engineer

Staffingine LLC

Woodland, CA • On-site

Contractor

Re-posted 12 days ago

Job description

Job Title: AI Engineer
Job Location: Woodland - California
Job Type: Contract

Job Description:

  • Design develop and deploy machine learning models and algorithms using Python Lead data science projects from concept to implementation ensuring timely delivery and quality outcomes
  • Perform exploratory data analysis to identify patterns trends and opportunities for business improvement
  • Collaborate with stakeholders to define key performance indicators and success metrics Optimize existing data science workflows and models for better performance and accuracy
  • Document methodologies code and findings to ensure reproducibility and knowledge sharing
  • Support the integration of data science solutions into production environments
  • Drive continuous improvement initiatives by evaluating new tools and technologies relevant to Python and data science

Skills

Mandatory Skills : Python - Data Scienc