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Machine Learning Engineer Quantization Jobs in Anaheim, CA

Machine Learning Engineer II

Irvine, CA ยท On-site

$104K - $143K/yr

In this role you will work with a high performing team of applied scientists, machine learning engineers, and software development engineers that has delivered a number of AI/ML systems to production ...

As a Machine Learning Integration Engineer, you will help rapidly prototype, mature, and monitor ML/CV solution that are integral to Turion's Space Domain Awareness data products. You will work on ...

Sr Machine Learning Engineer

Irvine, CA ยท On-site

$112K - $154K/yr

We are seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning platforms used for media measurement and customer analytics. This role partners closely with Data ...

Sr Machine Learning Engineer

Irvine, CA

$112K - $154K/yr

We are seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning platforms used for media measurement and customer analytics. This role partners closely with Data ...

Senior Machine Learning Engineer

Long Beach, CA ยท On-site

$114K - $156K/yr

The Senior Machine Learning Engineer will design, build, and deploy core machine learning and AI capabilities, working with a cross-functional team to enhance technology in artificial intelligence ...

Bachelor degree with 8+ years experience as a machine learning engineer * AND 6+ years of Python and PyTorch or TensorFlow experience * Must be a U.S. citizen with the ability to obtain necessary ...

Senior Machine Learning Engineer

Long Beach, CA ยท On-site

$114K - $156K/yr

They are seeking a Senior Machine Learning Engineer to design, build, and deploy core machine learning and AI capabilities, working with a cross-functional team to advance technology in artificial ...

... rigorous engineering with learning systems proven in globally deployed solutions that deliver ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...

Senior Machine Learning Engineer

Los Angeles, CA ยท On-site

$112K - $154K/yr

Access on-demand professional development resources that allow you to hone existing skills and learn new ones "I can succeed as a Machine Learning Engineer at Capital Group" We are seeking a strong ...

JOB SUMMARY The ML Engineer II will design and develop ML models that deliver accurate results to solve identified business problems using state-of-the-art techniques, under the guidance of Senior ML ...

... rigorous engineering with learning systems proven in globally deployed solutions that deliver ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...

... rigorous engineering with learning systems proven in globally deployed solutions that deliver ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...

... rigorous engineering with learning systems proven in globally deployed solutions that deliver ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...

JOB SUMMARY The ML Engineer II will design and develop ML models that deliver accurate results to solve identified business problems using state-of-the-art techniques, under the guidance of Senior ML ...

Senior Machine Learning Engineer

Irvine, CA

$112K - $154K/yr

Access on-demand professional development resources that allow you to hone existing skills and learn new ones "I can succeed as a Machine Learning Engineer at Capital Group" We are seeking a strong ...

Senior Machine Learning Engineer

Long Beach, CA ยท On-site

$114K - $156K/yr

They are seeking a Senior Machine Learning Engineer to design, build, and deploy machine learning and AI capabilities, working with a cross-functional team to enhance technology for space superiority.

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Machine Learning Engineer Quantization information

See Anaheim, CA salary details

$33K

$134.8K

$202.6K

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 Anaheim, CA is $134,809.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,300.00 and $162,300.00 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 are popular job titles related to Machine Learning Engineer Quantization jobs in Anaheim, CA? For Machine Learning Engineer Quantization jobs in Anaheim, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Quantization jobs in Anaheim, CA look for? The top searched job categories for Machine Learning Engineer Quantization jobs in Anaheim, CA are:
What cities near Anaheim, CA are hiring for Machine Learning Engineer Quantization jobs? Cities near Anaheim, CA with the most Machine Learning Engineer Quantization job openings:
Infographic showing various Machine Learning Engineer Quantization job openings in Anaheim, CA as of June 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 87% Physical, 6% Hybrid, and 7% Remote job distribution, with an average salary of $134,809 per year, or $64.8 per hour.

Machine Learning Engineer II

Capgroup

Irvine, CA โ€ข On-site

$104K - $143K/yr

Full-time

Medical, Life, Retirement

Posted just now


Job description

"I can be myself at work."

You are more than a job title. We want you to feel comfortable doing great work and bringing your best, authentic self to everything you do. We value your talents, traditions, and uniqueness-and we're committed to fostering a strong sense of belonging in a respectful workplace.

We intentionally seek diverse perspectives, experiences, and backgrounds, investing in a culture designed to celebrate differences. We believe that belonging leads to better outcomes and a stronger community of associates united by our mission. At Capital, we live our core values every day: Integrity, Client Focus, Diverse Perspectives, Long-Term Thinking, and Community.

"I can influence my income."

You want to feel recognized at work. Your performance will be reviewed annually, and your compensation will be designed to motivate and reward the value that you provide. You'll receive a competitive salary, bonuses and benefits. Your company-funded retirement contribution will factor in salary and variable pay, including bonuses.

"I can lead a full life."

You bring unique goals and interests to your job and your life. Whether you're raising a family, you're passionate about where you volunteer, or you want to explore different career paths, we'll give you the resources that can set you up for success.

  • Enjoy generous time-away and health benefits from day one, with the opportunity for flexible work options

  • Receive 2-for-1 matching gifts for your charitable contributions and the opportunity to secure annual grants for the organizations you love

  • Access on-demand professional development resources that allow you to hone existing skills and learn new ones

"I can succeed as a Machine Learning Engineer at Capital Group"

As a Machine Learning Engineer at Capital Group, you will create, research, implement, and maintain state of the art machine learning models, data pipelines, and analytical systems to significantly enhance our investment processes and outcomes. You will conduct applied research into financial modeling to help our investment professionals make better decisions. In this role, you will collaborate directly with senior investment professionals and fellow technology associates to enhance our investment process through the use of state-of-the art ML techniques.

In this role you will work with a high performing team of applied scientists, machine learning engineers, and software development engineers that has delivered a number of AI/ML systems to production, including machine learning systems, data pipelines, financial models, and generative AI systems. We are seeking a candidate who has hands-on experience architecting and delivering working systems and who is passionate about leveraging modern machine learning and software engineering innovations to produce superior long-term investment outcomes.

"I am the person Capital Group is looking for."

  • You will design, research, build, deliver and operate machine learning systems, data pipelines, and financial models which demonstrably improve the efficiency and effectiveness of CG's investment process by making investment decisions.

  • You successfully research, train, evaluate and deploy models for financial modeling and data analysis from inception to deployment and operation.

  • You uphold a high standard of quality in your work, ensuring integrity in both form and function.

  • You write clear, efficient, and performant code.

  • You collaborate effectively to support team strategy, contributing to decisions regarding modeling and technology.

  • You proactively identify and tackle the root causes of endemic modeling problems, collaborating with cross-functional teams to implement sustainable solutions.

  • You work with a sense of urgency, and design and build simple and pragmatic solutions which solve complex problems.

Qualifications:

  • You have 3+ years of experience with Python and SQL. Strong object-oriented or functional design skills with understanding of common design patterns.

  • You have a demonstrated track record in one or more machine learning subfield relevant to financial modeling, such as time series analysis, quantitative modeling, optimization, anomaly detection, or predictive analytics.

  • You have experience solving "full stack" machine learning problems, from data collection and ETL development to model training and deployment, and experience using machine learning to solve real business problems in finance or investment management.

  • You are strong communicator with the ability to establish and maintain a close working relationship with distributed team members and business partners.

  • You possess strong computer science fundamentals including data structures, algorithms, and complexity analysis.

  • You have knowledge of software engineering best practices (e.g. Agile software development, test-driven development, unit testing, code reviews, design documentation).

  • You have a track record of successfully delivering enterprise-grade models into production.

  • You have experience with AWS services (S3, containers - ECS & EKS, Lambda) preferred.

"I can apply in less than 4 minutes."

You've reviewed this job posting and you're ready to start the candidate journey with us. Apply now to move to the next step in our recruiting process. If this role isn't what you're looking for, check out our other opportunities and join our talent community.

"I can learn more about Capital Group."

At Capital Group, the success of the people who invest with us depends on the people in whom we invest. That's why we offer a culture, compensation and opportunities that empower our associates to build successful and prosperous careers. Through nine decades, our goal has been to improve people's lives through successful investing. We know that our history is a testament to the strength of the people we hire. More than 9,000 associates in 30+ offices around the world help our clients and each other grow and thrive every day. Find us on LinkedIn, Instagram, YouTube and Glassdoor.

Southern California Base Salary Range: $159,354-$254,966Seattle Base Salary Range: $159,354-$254,966

In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital's annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings.

You can learn more about our compensation and benefits here.

* Temporary positions in the United States are excluded from the above mentioned compensation and benefit plans.


We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law.