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Machine Learning Engineer Quantization Jobs in Lincoln, CA

DataAnnotation

SDLC 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

SDLC 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 ...

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 ...

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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 Jul 14, 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
Technical Customer Support Engineer, Tier 2 - West Cost (Second shift)

Technical Customer Support Engineer, Tier 2 - West Cost (Second shift)

UVeye

Sacramento, CA • On-site, Remote

$36 - $43/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 18 days ago

Job description

Description
At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-centric technology, representing the pinnacle of computer vision, machine learning, and generative AI within the automotive sector.
With over $380M in funding and strategic partnerships with industry giants such as Toyota, Amazon, General Motors, Volvo, and CarMax, our technology is utilized in manufacturing plants, dealerships, wholesale auctions, delivery fleets, security checkpoints, and more. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity, encourages teamwork, and strives for excellence.
We're looking for a Technical Customer Support Engineer Tier II to join our Support team. You'll be part of the Delivery department, working cross-functionally to assist with the installation, configuration, and calibration of our products-while serving as a key problem-solver for our customers and internal teams. In this role, you'll provide real-time technical support to our Field Service Engineers and Field Support Technicians, helping to ensure product stability, reliability, and exceptional customer experience.
This position includes working second shift, hours 2:00 pm - 10:00 pm PST. Fully remote.
A day in the life and how you'll make an impact:
  • Assist in the installation, configuration, and calibration of UVeye products for clients
  • Provide on-site technical support during product installations to ensure proper setup and operation
  • Troubleshoot and resolve customer technical issues related to machine performance and software
  • Monitor, maintain, and update systems to ensure continuous product functionality
  • Prepare detailed documentation and reports on installation and calibration activities
  • Act as a technical point of contact for clients during installation, calibration, and troubleshooting
  • Attend occasional in-person meetings with clients to analyze, troubleshoot, and resolve hardware issues on-site
  • Ensure effective incident management by tracking and resolving technical issues promptly

Requirements
  • 3+ years of experience in Tier II support, systems administration, or QA engineering
  • Bachelor's degree in Computer Science or a related field
  • Proficiency with Linux, Docker, and Kubernetes
  • Strong troubleshooting skills across hardware and software domains
  • Hands-on experience with hardware setup, installation, and calibration
  • Solid understanding of networking (TCP/IP, HTTP, DNS, DHCP)
  • Team-oriented with a customer-first mindset
  • Experience with cloud platforms like AWS, Azure, or GCP
  • Familiarity with networking equipment (switches, routers, firewalls, load balancers)
  • Comfortable using tools like Zendesk, JIRA, and Confluence
  • Able to work independently and manage multiple priorities under pressure
  • Ability and willingness to work on second shift - hours 2:00 pm - 10:00 pm PST

Ideally, we're looking for:
  • Experience working in startup environments
  • Proficiency in scripting (Bash, Python)
  • Experience with deployment and automation tools such as Terraform and Helm

Benefits we offer:
  • Competitive Medical, Dental, Vision.
  • Company 401k Match.
  • 20 PTO days, Company paid holidays.
  • Career growth as we scale across the US.

Compensation:
UVeye provides salary ranges that comply with the New Jersey State Law on salary transparency in job advertisements. Actual salaries depend on a variety of factors, including experience, qualifications, skills, location, education, and operational needs. The salary range or contractual rate listed does not include bonuses/incentives or other forms of compensation or benefits. The hourly rate for this position is $36 - $43.
Why UVeye:
  • Pioneer Advanced Solutions: Harness cutting-edge technologies in AI, machine learning, and computer vision to revolutionize vehicle inspections.
  • Drive Global Impact: Your innovations will play a crucial role in enhancing automotive safety and reliability, impacting lives and businesses on an international scale.
  • Career Growth Opportunities: Participate in a journey of rapid development, surrounded by groundbreaking advancements and strategic industry partnerships.

Check out our Life at UVeye page to learn more about the employee experience.
UVeye is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

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