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Machine Learning Engineer Quantization Jobs in Lincoln, CA

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 ...

Pwc

US Tech - AI Engineering Manager

Sacramento, CA · On-site

$73K - $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 ...

Micron

ASIC Gen-AI Data Scientist

Folsom, CA · On-site +1

$145K - $336K/yr

As part of the ASIC Technical Products Engineering organization, you will help drive the development of next-generation GenAI, machine learning, and advanced data analytics solutions for ...

Pwc

CTIO - AI Engineer- Senior Manager

Sacramento, CA · On-site

$91K - $321K/yr

... machine learning algorithms and predictive modeling techniques - Collaborating with clients to validate outcomes and incorporate feedback into data solutions - Directing teams through complex ...

Intel

Software Development Graduate Intern

Folsom, CA · On-site

$111K/yr

Programming using C, C++, and/or Python. * Machine learning and/or deep learning development. * AI framework usage including TensorFlow and/or PyTorch. * Reinforcement Learning and/or Generative AI ...

Micron

ASIC Gen-AI Data Scientist

Folsom, CA · On-site +1

$119K - $286K/yr

As part of the ASIC Technical Products Engineering organization, you will help drive the development of next-generation GenAI, machine learning, and sophisticated data analytics solutions for ...

Pwc

AI & GenAI Data Scientist - Manager

Sacramento, CA

$99K - $232K/yr

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based ...

Intel

GPU Software Development Engineer

Folsom, CA · On-site

$111K - $181K/yr

Position Overview We are looking for a Graphics Software Engineer where the key goal will be to ... Understanding in state-of-the-art machine learning and deep learning algorithms, techniques and ...

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Showing results 21-40

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 Sep 11, 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 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 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 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 job categories do people searching Machine Learning Engineer Quantization jobs in Lincoln, CA look for?

The top searched job categories for Machine Learning Engineer Quantization jobs in Lincoln, CA are:

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
Infographic showing various Machine Learning Engineer Quantization job openings in Lincoln, CA as of June 2026, with employment types broken down into 2% As Needed, 91% Full Time, 5% Part Time, and 2% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $134,444 per year, or $64.6 per hour.

Senior IT Specialist (Cloud Infrastructure and AI Solutions Specialist)

Folsom, CA • On-site

Public Risk Innovation Solutions and Management
See more jobs at Public Risk Innovation Solutions and Managementexternal

$10K/mo

Other

Posted 15 days ago

Key responsibilities

  • Administer and support AWS and Microsoft Azure cloud services, including configuration, provisioning, and environment management.

  • Support enterprise IaaS, PaaS platforms, SaaS application integrations, and cloud security configuration, monitoring, and compliance.

  • Help deploy and support hosted AI services and AI-enabled applications within security and cost guardrails.

Job description

Description
PRISM is a joint powers authority (JPA) that provides risk management and coverage programs for public entities throughout California, including 93% of California counties, 77% of California cities, 30 joint powers authorities, educational organizations, special districts, housing authorities, fire districts and 10 national participants through PRISM's captive insurance company. Our organization is member driven meaning that our public entity members have numerous opportunities available to participate in the governance of our JPA.
One of PRISM's greatest assets is its staff. PRISM employees are smart, creative, hard-working, and passionate individuals working in areas ranging from member services, risk control, claims administration, information technology, accounting, and risk pool administration. Working here requires energy, commitment, and teamwork. At the same time, we offer a great work environment built upon our Core Values of People, Families, Trust, Integrity, and Growth. We are looking for an individual who shares these values to join the PRISM team.
The Senior IT Specialist (Cloud Infrastructure and AI Solutions Specialist) is a hands-on technical resource assigned to the Digital Team and shared across the IT Department. The position provides cloud and platform expertise for applications, integrations, and various initiatives. PRISM operates workloads across AWS and Microsoft Azure;, Candidates are not expected to have equal depth in both platforms on day one - strong experience in one cloud platform, sound fundamentals, and demonstrated ability to learn new technologies matter most. Additionally, this position will provide support, along with other IT team members, for Microsoft 365 and Microsoft Fabric environments.
This is an implementation and administration role, not a dedicated cloud architect, infrastructure engineer, database administrator, data engineer, or machine-learning engineer position. PRISM also expects to continue using third-party vendors for large-scale application hosting; this role provides informed internal technical review and coordination rather than replacing those relationships.
As PRISM's use of AI-enabled applications and exploration grows, this role is expected to increasingly help deploy and support hosted AI services within guardrails set by IT leadership. This is a growing part of the position; the role is not expected to build, train, or fine-tune machine-learning models.
A first review of applications will be conducted tentatively on September 8th, and weekly thereafter until the position is filled. Tentative interviews are scheduled for the week of September 15th.
Essential Duties & Responsibilities
A. Cloud Platform Administration & Support
  • Administer and support AWS and Microsoft Azure services (including support for Microsoft 365 and the Azure environment supporting Microsoft Fabric), including configuration and provision for appropriately separated development, test, sandbox, and production environments; day-to-day platform focus will vary by assignment.
  • Support enterprise IaaS, PaaS platforms and SaaS application integrations (APIs, web services, secure authentication, file exchange), including configuration, troubleshooting, and vendor coordination.
  • Support cloud security configuration, monitoring, and compliance; review cloud environments for identity, network, configuration, and cost risks, and remediate issues as needed.
  • Manage cloud subscriptions, resource groups, tagging, cost allocation, and budget monitoring, with particular attention to catching and preventing unexpected cloud spend; implement practical cost guardrails as needed.
  • Identify opportunities to automate administration and deployment processes using scripting, Infrastructure-as-Code, or CI/CD; maintain architecture diagrams, system inventories, and technical documentation, and ensure changes follow established change-management processes.
  • Support Active Directory and Microsoft Entra ID administration (onboarding/offboarding, role-based access control, least-privilege access, single sign-on) and provide Microsoft 365 and SharePoint administration support.

B. AI-Enabled Systems Support
  • Help deploy and support hosted AI services and AI-enabled applications (e.g., Azure OpenAI, AWS Bedrock) within defined security and cost guardrails.
  • Apply cost controls to AI sandbox and experimentation environments to help prevent unexpected spend.
  • Help move validated AI use cases from testing into supportable, production-ready environments.

Requirements
Minimum Qualifications
  • Bachelor's degree in Computer Science, Information Systems, or a related field, or an equivalent combination of education and relevant professional experience.
  • 3-5 years of hands-on professional experience with cloud infrastructure and platform services (IaaS and PaaS), including administration, configuration, integration, security, and support of production cloud environments.
  • Strong practical experience with either AWS or Microsoft Azure, including hands-on use of IaaS and PaaS services, with working familiarity with the other platform and demonstrated ability to build proficiency as needed.
  • Experience supporting cloud-hosted applications or SaaS platforms, including configuration, troubleshooting, identity and access, connectivity, and integration with underlying IaaS and PaaS services.
  • Working knowledge of cloud identity, security, networking, monitoring, and cost-management fundamentals.
  • Practical automation experience using scripting and/or Infrastructure-as-Code tools (e.g., PowerShell, Python, Terraform, Bicep, or Azure CLI), with familiarity with CI/CD concepts.

Preferred Qualifications
  • Practical experience supporting hosted generative AI services or AI-enabled applications (e.g., Azure OpenAI, AWS Bedrock, retrieval-augmented generation, or vector search).
  • Application integration experience using REST APIs, OAuth/OIDC, SAML, middleware, or workflow automation platforms.
  • Cloud and hybrid networking experience (virtual networks, subnets, routing, DNS, VPN connectivity, network security controls).
  • Familiarity with cloud governance tooling (e.g., Azure Policy/Landing Zones, AWS Organizations/Control Tower) and cost-allocation frameworks.
  • Cloud certification such as AWS Certified Solutions Architect, Microsoft Certified: Azure Administrator/Architect, AWS Certified AI Practitioner, Microsoft Azure AI Fundamentals or Azure AI Apps and Agents Developer Associate, or a comparable credential.
  • Experience in insurance, risk management, government, or another regulated environment.

For approximately the first month following hire, selected candidate will report to our Folsom office daily for training and onboarding. After successful completion of this phase, selected candidates will have the option to work full time in our Folsom office, or remotely from a home location within a commutable distance from our Folsom, CA office, or a hybrid of both options. Candidates must be able and willing to report in person to our Folsom location when required, which is generally every quarter, but could change based on business needs.
Physical Requirements
Physical requirements of this position typically include: reaching, grasping, talking, hearing, seeing, repetitive motions, exerting up to 20 pounds of force occasionally and/or up to 10 pounds of force frequently, and/or negligible amount of force constantly to move. Some travel may be required.

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