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Machine Learning Engineer Quantization Jobs in Folsom, CA

Epic

Software Engineer

Elk Grove, CA · On-site

... and machine learning tools to drive innovation in healthcare. • Invent better ways to reduce ... Engineering, Computer Engineering, or a related field • A history of academic excellence or ...

Epic

Software Engineer

Roseville, CA · On-site

... and machine learning tools to drive innovation in healthcare. • Invent better ways to reduce ... Engineering, Computer Engineering, or a related field • A history of academic excellence or ...

Prophecy Technologies

Data Scientist

Elk Grove, CA · On-site

We are seeking an experienced Data Science Engineer to join our team. The ideal candidate will have strong expertise in data science, machine learning, and AI-driven features that enhance decision ...

Maximus

AI/ML Software Developer

Sacramento, CA · Remote

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

New

Pwc

US Tech - AI Engineering Manager

Sacramento, CA · On-site

$73.50K - $244K/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 ...

Pwc

US Tech - AI Engineering Manager

Sacramento, CA

$73.50K - $244K/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 ...

Pwc

Google Cloud Architect - Senior Manager

Sacramento, CA · On-site

$124K - $280K/yr

Cloud Digital Leader (Foundational), Generative AI Leader (Foundational), Cloud Engineer Associate, Cloud Developer Professional, Cloud Architect Professional, Machine Learning Engineer Professional ...

DataAnnotation

DevOps Engineer

Roseville, CA · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, 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 ...

DataAnnotation

DevOps Engineer

Elk Grove, CA · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, 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 ...

DataAnnotation

DevOps Engineer

Sacramento, CA · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, 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 ...

DataAnnotation

Software Engineer

Sacramento, CA · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, 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 ...

DataAnnotation

Software Engineer

Roseville, CA · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, 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 ...

DataAnnotation

Software Engineer

Elk Grove, CA · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, 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 ...

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

Machine Learning Engineer Quantization information

See Folsom, CA salary details

$33.7K

$137.7K

$206.9K

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

As of May 30, 2026, the average yearly pay for machine learning engineer quantization 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 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 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 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 are popular job titles related to Machine Learning Engineer Quantization jobs in Folsom, CA? For Machine Learning Engineer Quantization jobs in Folsom, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Quantization jobs in Folsom, CA look for? The top searched job categories for Machine Learning Engineer Quantization jobs in Folsom, CA are:
What cities near Folsom, CA are hiring for Machine Learning Engineer Quantization jobs? Cities near Folsom, CA with the most Machine Learning Engineer Quantization job openings:
Machine Learning Engineer Quantization jobs near you
Business Intelligence Developer

Business Intelligence Developer

West Advanced Technologies (WATI)

West Sacramento, CA • On-site

Full-time

Posted 26 days ago

Job description

Position: Business Intelligence Developer
Location :West Sacramento, CA
Duration: 24 months
Mandatory Qualifications:
  • At least 5 years of experience of developing data model and data reports in PowerBI.
  • At least 5 years of experience of creating SQL queries, optimizing SQL query performance, and modifying SQL elements such as procedure, functions, and views with a solid understanding of database principles.
  • At least 5 years of experience of designing and developing data analytic reports, dashboards, Business Intelligence reports, and data warehouses.
  • At least 5 years of experience of developing solutions within Snowflake, AWS Redshift, Microsoft Azure BI platform in the cloud, or similar technologies.
  • At least 3 years of experience of programming skills especially for data exploration and presentation to management and other users of data within data warehouses.
  • At least 3 years of experience with Advanced Data Analytics or Machine Learning technologies.
  • Bachelor's degree or equivalent experience in Computer Science, Information Technology, or similar field of study. CalSTRS reserves the right to request a copy of the degree.

Desirable:
  • Certifications of Business Intelligence, or Advanced Data Analytics, or Machine Learning. CalSTRS reserves the right to ask for a copy of the certificates.
  • Experience with Agile methodologies and Software Development life cycle.
  • Experience in State agency or Financials or Investment portfolios or other regulated industry highly preferred.
  • Ability to use business knowledge and expertise to build analytical data models and reports that can serve to business users.
  • Experience with MS Power BI DAX to create tabular models.
  • Strong understanding of SQL Scripting & Stored Procedures (SQL Development).
  • Exceptional ability to multi-task while maintaining tight schedules.
  • Excellent writing skills and documentation skills.

Education: Bachelor's degree or equivalent experience in Computer Science, Information Technology, or similar field of study. CalSTRS reserves the right to request a copy of the degree.
Certifications: Certifications of Business Intelligence, or Advanced Data Analytics, or Machine Learning. CalSTRS reserves the right to ask for a copy of the certificates.
Regards,
Sangeetha
West Advanced Technologies, Inc.
Serving government agencies for 22 Years
E: sangeetha.p@wati.com, D: 279 895 6797
www.wati.com

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