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Machine Learning Engineer Jobs in Folsom, CA (NOW HIRING)

Micron

SoC Physical Verification Engineer, HBM

Folsom, CA · On-site

$97K - $205K/yr

As a Physical Verification Engineer, you will be a key technical contributor within the ... Drive adoption of machine learning (ML) and artificial intelligence (AI)based physical verification ...

Deloitte

Senior QE Engineer III

Sacramento, CA · On-site

$94K - $128K/yr

Hands-on experience with machine learning models. * Experience in Python NLTK or similar natural ... Senior QA Engineer -AI & Engineering Join our AI & Engineering team in transforming technology ...

Deloitte

Databricks Senior Consultant

Sacramento, CA · On-site

Databricks certifications (e.g., Data Engineer Professional, Machine Learning Professional) are highly preferred * Public sector experience preferred * Active public sector security clearance ...

Intel

AI Infrastructure Engineer

Folsom, CA · On-site

$170K - $315K/yr

Minimum Qualifications Bachelors Degree in Computer Science, Software Engineering, Artificial Intelligence/Machine Learning, or related field and 4+ years experience, Masters Degree and 3+ years, OR ...

New

Seco

Project Engineer

Sacramento, CA · On-site

Seco is a global metal cutting and machining solutions provider with a strong heritage in ... Committed to safety, sustainability, continuous improvement, and ongoing learning. Qualification ...

New

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Folsom, CA

Machine Learning Engineer information

See Folsom, CA salary details

$33.7K

$137.7K

$206.9K

How much do machine learning engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for machine learning engineer in Folsom, CA is $137,693.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $165,700.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Folsom, CA? The most popular types of Machine Learning Engineer jobs in Folsom, CA are:
What are popular job titles related to Machine Learning Engineer jobs in Folsom, CA? For Machine Learning Engineer jobs in Folsom, CA, the most frequently searched job titles are:
What cities near Folsom, CA are hiring for Machine Learning Engineer jobs? Cities near Folsom, CA with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Folsom, CA as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% In-person job distribution, with an average salary of $137,693 per year, or $66.2 per hour.

Databricks Engineering Consultant

Deloitte

Sacramento, CA • On-site

Full-time

Re-posted 22 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services

Job description

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work you'll do

As a Data Engineer II on the AI & Data team, you will be responsible for:

  • Designing, developing, testing, and maintaining scalable data pipelines and data products on the Databricks platform using tools such as Auto Loader, Declarative Pipelines, and Structured Streaming
  • Building and optimizing Databricks SQL endpoints, data models, and integrations with business intelligence tools to support analytics and reporting
  • Supporting the development and deployment of machine learning solutions using Databricks, Unity Catalog, and MLflow
  • Advising clients on implementation approaches and operational practices across Databricks data, analytics, and machine learning capabilities
  • Implementing end-to-end Databricks solutions across data ingestion, transformation, governance, and deployment on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, or a related field
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
  • Must be able to obtain and maintain a US government security clearance
  • 2+ years of experience developing and deploying solutions on the Databricks platform
  • 2+ years of experience with SQL, Python, and Apache Spark
  • 2+ years of experience with at least one major cloud platform: Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
  • Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve.

Preferred:

  • Databricks Data Engineer Associate, Databricks Data Engineer Professional, or Databricks Data Analyst Associate certification
  • Experience supporting government, public sector, or higher education clients
  • Active US government security clearance

For individuals assigned and/or hired to work in California, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to California and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $97,700 to $162,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

ai&e fy27 profile

Qualifications:

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work you'll do

As a Data Engineer II on the AI & Data team, you will be responsible for:

  • Designing, developing, testing, and maintaining scalable data pipelines and data products on the Databricks platform using tools such as Auto Loader, Declarative Pipelines, and Structured Streaming
  • Building and optimizing Databricks SQL endpoints, data models, and integrations with business intelligence tools to support analytics and reporting
  • Supporting the development and deployment of machine learning solutions using Databricks, Unity Catalog, and MLflow
  • Advising clients on implementation approaches and operational practices across Databricks data, analytics, and machine learning capabilities
  • Implementing end-to-end Databricks solutions across data ingestion, transformation, governance, and deployment on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, or a related field
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
  • Must be able to obtain and maintain a US government security clearance
  • 2+ years of experience developing and deploying solutions on the Databricks platform
  • 2+ years of experience with SQL, Python, and Apache Spark
  • 2+ years of experience with at least one major cloud platform: Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
  • Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve.

Preferred:

  • Databricks Data Engineer Associate, Databricks Data Engineer Professional, or Databricks Data Analyst Associate certification
  • Experience supporting government, public sector, or higher education clients
  • Active US government security clearance

For individuals assigned and/or hired to work in California, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to California and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $97,700 to $162,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

ai&e fy27 profile

Education:Bachelor's DegreeEmployment Type:

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