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Machine Learning Engineer Quantization Jobs in Lincoln, CA

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 ...

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 ...

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 ...

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 ...

ERP AI Engineer - Manager

Sacramento, CA ยท On-site

$99K - $232K/yr

... Machine Learning. Enhancing your leadership style, you motivate, develop and inspire others to ... The Opportunity As part of the Data and Analytics Engineering team, you will serve as both a ...

AI Software Engineering Intern

Folsom, CA ยท On-site

$101 - $137/hr

... machine learning, and deep learning. Assists in implementing and tuning models for performance and accuracy, applied research, and hardware software integration. May also include the creation of AI ...

... machine learning initiatives * Identify high-value AI use cases and guide teams on prompt engineering, model selection, and model optimization * Collaborate with stakeholders, mentor delivery teams ...

Showing results 41-60

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 Aug 21, 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 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:

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.

Systems Engineer III - ISR with Security Clearance

Voyager Technologies, Inc

Folsom, CA โ€ข On-site

$113K - $196K/yr

Other

Medical, Dental, Vision, Retirement

Posted 20 days ago


Job description

Voyager is an innovative defense, national security and space technology company committed to advancing and delivering transformative, mission-critical solutions. We tackle the most complex challenges to unlock new frontiers for human progress, fortify national security, and protect critical assets to lead in the race for technological and operational superiority from ground to space. Forge the Future: Join Voyager Technologies The future belongs to those who build it. At Voyager Technologies, we're building technologies that protect lives, expand frontiers and prepare us for what's next. And we're doing that with people who are wired to solve, build, adapt and lead. These roles are not for the faint of heart. You'll help lay the foundation for humanity's future. Join a culture where innovation thrives, curiosity is rewarded, and impact is real. We're a company of doers, thinkers and builders, united by purpose and grounded in reality. If you want to put your skills to work where the stakes are real and the mission is bigger than any one person, forge the future with Voyager. The Systems Engineer III - ISR is an integral member of our Engineering team that develops cutting-edge signals intelligence systems, which enable mission-critical capabilities across defense and space systems. The team implements, tests and documents SIGINT software and hardware, contributing directly to the success of our national security missions. The position reports to the VP of Engineering and is part of our ISR team based inFolsom, CA. This role is hybrid and can be located in either Folsom, CA or Dayton, OH. In this role, the essential functions are: * ISR systems technical requirements development, architecture, design, integration, and test efforts. * Perform technical trade studies related to ISR systems. * Develop risk management and mitigation plans for complex systems. * Contribute on proposal generation encompassing technical performance, cost, and schedule. * Incorporate Systems Engineering rigor with respect to requirements development, segmentation, flow-down, verification, and validation. * Technical contributor to systems engineering and software engineering teams on projects. * Technical contributor to the project team regarding technical decisions on each project in the areas of: * Digital Signal Processing and Software Architecture Implementations * Systems (SW and HW) Requirements and Design * Detailed Hardware Design and Implementation * Detailed Software Design and Implementation * Systems Integration and Test * Demonstrate domain technical knowledge regarding Signal Processing Architectures and Systems related to SIGINT systems. Requirements Include: * Bachelor's Degree in the field of Engineering or Computer Science from an accredited university. * Four (4) or more years of engineering experience, with at least two (2) years focused on signal collection and signal processing systems. * Experience with software-defined radios (SDRs) and their application in SIGINT systems. * Experience with wireless communications systems and protocols (e.g., AM, FM, BPSK, QPSK, QAM). * Experience with modeling and simulation of signal processing algorithms. * Experience with MBSE (model-based systems engineering). * A strong understanding of electromagnetic fundamentals related to antennas and receiving systems. * Proven ability to work independently on assigned tasks within a collaborative team environment. Preferred Qualifications: * Current DoD Top Secret security clearance * Understanding of and experience with SIGINT direction-finding systems and with machine learning in embedded (or "edge) environments. Travel, Physical and/or Government Mandated Requirements: * Ability to travel approximately 10% of the time for on-site integration and customer meetings. * Must be able to obtain and maintain a US Government Clearance. The good faith base salary range for this role is $113,068 - $196,100 at the time of this posting. Where you fall within the range depends on your experience, skills, and location. This range reflects base salary only and does not include benefits or bonus/incentive. This range may be adjusted in the future. This position is incentive plan eligible. Voyager offers a highly competitive total compensation package designed to support the well-being, growth, and success of our employees. Employees benefit from a flexible and comprehensive rewards program that supports both professional and personal well-being. * Flexible Time Off (FTO), empowering employees to take the time they need to recharge and maintain a healthy work-life balance. * Comprehensive medical, dental, and vision coverage for employees and their families, with a significant portion of premiums covered by the company and many benefits paid at 100% for employees. * Flexible, affordable gym memberships with 12,700+ options nationwide including 24 Hour Fitness, EoS Fitness, Crunch Fitness, Anytime Fitness, Blink Fitness, Chuze Fitness and more! No long-term contracts and FREE on-demand workout videos before you enroll * 401(k) retirement plan with a 50% company match on contributions up to 8%, supporting long-term financial security. * Company wellness programs that support physical and mental well-being. * Additional voluntary benefits and employee support resources. * The opportunity to work alongside a highly talented team in an innovative, mission driven environment. Voyager is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. To conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR) (22 CFR Parts 120-130) and the Export Administration Regulations (EAR) (15 CFR Parts 730-774), applicants for this position must be a U.S. Person: a US Citizen, a lawful permanent resident of the U.S., or a protected individual as defined by 8 U.S.C. ยง 1324b(a)(3). Applicants must be eligible to obtain any required export authorizations from the U.S. Department of State or the U.S. Department of Commerce. Able to obtain and maintain a U.S. security clearance Minority/Female/Disabled/Veteran The statements contained in this job description are intended to describe the general content and requirements for performance of this job. It is not intended to be an exhaustive list of all job duties, responsibilities, and requirements. This job description is not an employment agreement or contract. Management has the exclusive right to alter the scope of work within the framework of this job description at any time without prior notice. California pay range $122,900 - $196,100 USD