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Machine Learning Engineer Quantization Jobs in Lincoln, CA

DataAnnotation

QA Engineer - AI Trainer

Roseville, CA · Remote

$50 - $100/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

DataAnnotation

QA Engineer - AI Trainer

Sacramento, CA · Remote

$50 - $100/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

Intel

GPU Software Development Engineer

Folsom, CA

$128K - $181K/yr

Understanding in state-of-the-art machine learning and deep learning algorithms, techniques and ... The group also has HW and SW engineering experts responsible for delivering IP, SOCs, runtimes, and ...

Teledyne

Sr. Test Engineer

Rancho Cordova, CA · On-site

As the Senior Test Engineer at Teledyne Microwave Solutions (TMS) in Rancho Cordova, you will serve ... Identify opportunities for machine learning and AI to improve yield, margins, or predictive ...

Intel

Neuromorphic/AI Research Scientist

Folsom, CA · On-site

Collaborate with hardware and software engineering teams to translate algorithmic requirements into ... Passion for continuous learning and staying at the cutting edge of neuromorphic computing Join ...

Modelyst

Senior Data Engineer

Sacramento, CA · Remote

$130K - $170K/yr

About Modelyst Modelyst is a three-person engineering firm building production data and machine learning infrastructure for manufacturing and research environments. Our systems support real-world ...

Modelyst

Senior Data Engineer

Sacramento, CA · Remote

$113K - $153K/yr

About Modelyst Modelyst is a three-person engineering firm building production data and machine learning infrastructure for manufacturing and research environments. Our systems support real-world ...

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All JobsMachine Learning Engineer Quantization JobsMachine Learning Engineer Quantization Jobs in Lincoln, CA

Machine Learning Engineer Quantization information

See Lincoln, CA salary details

$32.9K

$134.4K

$202K

How much do machine learning engineer quantization jobs pay per year?

As of Jun 18, 2026, the average yearly pay for machine learning engineer quantization in Lincoln, CA is $134,444.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $161,800.00 per year, depending on experience, location, and employer.

What are some common challenges Machine Learning Engineers face when implementing quantization techniques in production models?

Machine Learning Engineers working on quantization often encounter challenges such as balancing reduced model size and computational efficiency with maintaining acceptable accuracy levels. Adapting quantization methods to different hardware platforms can also require significant testing and optimization. Additionally, engineers must frequently address compatibility issues with existing deployment pipelines and ensure that quantization-aware training is properly integrated to minimize performance degradation. Collaboration with hardware and software teams is essential to streamline deployment and achieve optimal results.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Quantization, and why are they important?

To thrive as a Machine Learning Engineer Quantization, you need a solid background in machine learning, deep learning, and computer science, typically supported by a degree in a related field. Familiarity with quantization techniques, frameworks such as TensorFlow Lite or PyTorch, and experience with hardware accelerators are crucial. Strong problem-solving skills, attention to detail, and effective collaboration set top performers apart. These capabilities are vital for efficiently deploying high-performing models on resource-constrained devices and ensuring scalable, real-world AI solutions.

What does a Machine Learning Engineer Quantization do?

A Machine Learning Engineer specializing in quantization focuses on optimizing machine learning models by reducing their size and computational requirements without significantly sacrificing accuracy. This involves converting model parameters and computations from high-precision formats (like 32-bit floating point) to lower-precision formats (such as 8-bit integers). Quantization enables faster inference, lower memory usage, and allows models to run efficiently on edge devices and mobile platforms. These engineers work closely with data scientists and hardware teams to implement, test, and validate quantized models in production environments.

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

AspectMachine Learning Engineer QuantizationData Scientist
Required CredentialsBachelor's or master's in CS, ML, or related; certifications in ML or AIBachelor's or master's in statistics, CS, or related; certifications in data analysis or statistics
Work EnvironmentDeveloping optimized ML models, deploying quantized models for efficiencyAnalyzing data, building predictive models, interpreting results
Industry UsageTech companies, AI hardware firms, embedded systemsFinance, healthcare, marketing, research institutions

Machine Learning Engineer Quantization focuses on optimizing ML models for deployment efficiency, often working closely with hardware and software teams. Data Scientists analyze data and build models for insights. While both roles require ML knowledge, quantization engineers specialize in model compression techniques, whereas data scientists focus on data analysis and interpretation.

What cities near Lincoln, CA are hiring for Machine Learning Engineer Quantization jobs? Cities near Lincoln, CA with the most Machine Learning Engineer Quantization job openings:
Machine Learning Engineer Quantization jobs near you
Databricks Engineering Consultant

Databricks Engineering Consultant

Deloitte

Sacramento, CA • On-site

Other

Posted 28 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 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.

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.

Education:Bachelor's DegreeEmployment Type:

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