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Machine Learning Jobs in Roseville, CA (NOW HIRING)

DS Technologies, LLC

Solution Architect

Sacramento, CA · On-site

$62/hr

AI Integration: Architect and implement AI solutions using Azure Machine Learning, Azure OpenAI Service, and Azure Cognitive Services. * Cloud Infrastructure: Oversee cloud infrastructure ...

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

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All JobsMachine Learning JobsMachine Learning Jobs in Roseville, CA

Machine Learning information

See Roseville, CA salary details

$26.7K

$44.6K

$92.2K

How much do machine learning jobs pay per year?

As of Sep 4, 2026, the average yearly pay for machine learning in Roseville, CA is $44,639.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,100.00 and $48,200.00 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 Roseville, CA?

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

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

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

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

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

Machine Learning jobs near you
Infographic showing various Machine Learning job openings in Roseville, CA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $44,639 per year, or $21.5 per hour.

AI Applications & Data Analytics Lead

Granite

Sacramento, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 14 days ago

Key responsibilities

  • Build and scale AI and data solutions to improve safety, production, cost, and performance across construction materials operations.

  • Design, develop, and maintain AI-enabled applications, machine learning models, and analytics tools to optimize production, pricing, and plant uptime.

  • Collaborate with various teams to translate business needs into technical AI and analytics solutions, and integrate these solutions with existing systems.

Granite Telecommunications rating

7.3

Company rating: 7.3 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

54th of 101 rated telecommunications companies

Job description

Building a career at Granite may be the most valuable thing you could do...

Find your dream job today, and be part of something great. Our most powerful partnership is the one we have with our employees. Our people are our most valued asset and the foundation of Granite's century-old success. We're building more than infrastructure; we are building your future.

General Summary

The AI Applications & Data Analytics Lead is responsible for building and scaling practical AI and data solutions that drive measurable improvements in safety, production, cost, and performance across construction materials operations.
This role serves as the bridge between field operations and technology-turning operational data into actionable intelligence and deploying AI-enabled applications that improve decision-making, automate workflows, and enhance productivity.
The position combines hands-on development capability with business leadership-owning the identification, prioritization, and execution of AI and analytics use cases across plants, sales, and support functions.Essential Job Accountabilities

Design, develop, and maintain AIenabled applications supporting aggregate and asphalt plant operations and sales. Develop and implement machine learning and advanced analytics models to optimize production, pricing, plant uptime, and cost performance. Optimize product pricing with sales data including pricing and GIS data. Integrate AI solutions with existing operational software, plant systems, sensors, and databases. Enhance sales efficiency through the use of AI and bots to review specifications, Enhance and modernize legacy software systems through automation, predictive analytics, and decisionsupport tools. Build and maintain data pipelines, APIs, and services enabling realtime and nearrealtime operational insights. Analyze large datasets from production systems, quality labs, and equipment to generate actionable intelligence. Collaborate with operations, sales, quality, maintenance, and IT teams to translate business needs into technical solutions. Ensure AI solutions align with cybersecurity standards, company policies, and responsible AI practices. Document systems, models, and processes to support longterm sustainability and user adoption. Continuously evaluate emerging AI and software technologies relevant to construction materials

Education
  • Bachelor's Degree in artificial intelligence, computer science, data science, mathematics, or related quantitative fields. Equivalent practical experience may be considered for candidates with a strong portfolio.

Work Experience

  • Minimum of two (2) years of professional experience in software development, data analytics, AI or machine learning implementation.
  • Experience delivering productionready apps, and software solutions in operational or industrial environments.
  • Strong data analytics skills.
  • Experience working with databases, analytics platforms, and modern application architecture.
Knowledge, skills, and abilities
  • Experience in aggregate, asphalt, construction materials, mining, sales or manufacturing operations.
  • Familiarity with plant control systems, sales and production data.
  • Experience with predictive maintenance, quality analytics, or process optimization.
  • Strong communication skills and ability to work with nontechnical stakeholders.
  • Applied artificial intelligence and machine learning
  • Industrial software development and systems integration
  • Datadriven problem solving
  • Operational and sales mindset focused on safety, quality, and efficiency
  • Collaborative and partnership mindset.
Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to talk and hear. The employee frequently is required to stand, walk, sit and use hands to operate a computer keyboard. The employee is required to walk uneven and steep ground to access property for the purpose of interacting with operations and sales employees. Specific vision abilities required by this job include close vision, and ability to adjust focus. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions

Additional Requirements/Skills
  • Abide by Granite's Code of Conduct on a daily basis
  • Valid driver's license and ability to drive for extended periods of time
  • Overnight travel required

Our Benefits at a Glance:

Building tomorrow starts with you, and Granite knows that you can excel only if we support you in and out of the workplace. That is why we offer a broad benefits package that includes paid holidays, sick leave, medical, dental, vision, life insurance, disability insurance, flexible spending plans, as well as special programs for musculoskeletal health, mental wellness, and more.

Salaried employees may choose from two PPO medical plans through Anthem BlueCross, including our most popular plan, for which 100% of the premium is paid by Granite for eligible employees and dependents. Employees can also opt into a Health Savings Account (HSA) or a Flexible Spending Account (FSA).

As part of our investment in your future outside of the workplace, Granite provides a 100% match on the first 6% of eligible compensation that salaried employees defer into their 401(k) plans, which vests immediately.

Benefits may vary for positions located outside of the continental United States.

Base Salary Range:

$95,753.00 - $175,018.00

Pay may vary based upon relevant experience, skills, location, and education among other factors.

About Granite Construction Incorporated

Granite Construction Incorporated is a member of the S&P 400 Index and is the parent company of Granite Construction Company, one of the nation's largest heavy civil contractors and construction materials producers. Granite is a Drug-Free Workplace and Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, protected veteran status, or any other protected characteristic.We consider qualified applicants with arrest and conviction records in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles Fair Chance Initiative for Hiring Ordinance, and other applicable laws.

For additional information on applicant/employee rights please clickhere.

Notice to Staffing Agencies

Granite Construction, Inc. and its subsidiaries ("Granite") will not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to Granite, including unsolicited resumes sent to a Granite mailing address, fax machine or email address, directly to Granite employees, or to Granite's resume database will be considered Granite property. Granite will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.Granite will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees.Agencies must obtain advance written approval from Granite's recruiting function to submit resumes, and then only in conjunction with a valid fully-executed contract for service and in response to a specific job opening.Granite will not pay a fee to any Agency that does not have such agreement in place.Agency agreements will only be valid if in writing and signed by Granite's Human Resources Representative or his/ her designee. No other Granite employee is authorized to bind Granite to any agreement regarding the placement of candidates by Agencies.

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