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Machine Learning Engineer Quantization Jobs in Los Angeles, CA

Amgen, Inc.

Sr Machine Learning Engineer

Thousand Oaks, CA · On-site +1

$109K - $150K/yr

Senior Machine Learning Engineer What you will do Let's do this. Let's change the world. In this vital role you will play a pivotal role in building and scaling our machine learning models from ...

Amgen

Sr Machine Learning Engineer

Thousand Oaks, CA · On-site +1

$128K - $169K/yr

Senior Machine Learning Engineer What you will do Let's do this. Let's change the world. In this vital role you will play a pivotal role in building and scaling our machine learning models from ...

Paramount

Machine Learning Engineer

Burbank, CA · On-site

$109K - $143K/yr

Overview We are seeking a Senior Lead / Lead ML Platform Engineer to architect and own the ... learning. * High-Performance Inference: Design and maintain K8s-based inference servers (e.g ...

Paramount

Machine Learning Engineer

Burbank, CA · On-site

$109K - $143K/yr

Overview We are seeking a Senior Lead / Lead ML Platform Engineer to architect and own the ... learning. * High-Performance Inference: Design and maintain K8s-based inference servers (e.g ...

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All JobsMachine Learning Engineer Quantization JobsMachine Learning Engineer Quantization Jobs in Los Angeles, CA

Machine Learning Engineer Quantization information

See Los Angeles, CA salary details

$33.9K

$138.8K

$208.5K

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 Los Angeles, CA is $138,750.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,400.00 and $167,000.00 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 Los Angeles, CA? For Machine Learning Engineer Quantization jobs in Los Angeles, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Quantization jobs in Los Angeles, CA look for? The top searched job categories for Machine Learning Engineer Quantization jobs in Los Angeles, CA are:
What cities near Los Angeles, CA are hiring for Machine Learning Engineer Quantization jobs? Cities near Los Angeles, CA with the most Machine Learning Engineer Quantization job openings:
Machine Learning Engineer Quantization jobs near you
Lead Machine Learning Engineer - News

Lead Machine Learning Engineer - News

The Walt Disney Company

Glendale, CA

$108K - $143K/yr

Full-time

Posted 21 days ago

Walt Disney Company rating

7.7

Company rating: 7.7 out of 10

Based on 128 frontline employees who took The Breakroom Quiz

5th of 50 rated entertainment

Job description

Job Posting Title:

Lead Machine Learning Engineer - News

Req ID:

10150521

Job Description:

Disney Entertainment & ESPN Technology

On any given day at Disney Entertainment & ESPN Technology, we're reimagining ways to create magical viewing experiences for the world's most beloved stories while also transforming Disney's media business for the future. Whether that's evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney's unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world.

A few reasons why we think you'd love working for Disney Entertainment & ESPN Technology

  • Building the future of Disney's media business: DE&E Technologists are designing and building the infrastructure that will power Disney's media, advertising, and distribution businesses for years to come.
  • Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day - from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more.
  • Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news.

Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity.

Job Summary:

The News ML team is responsible for building robust data pipelines and advanced machine learning platforms that deliver personalized experiences to users across ABC News, Good Morning America, and local news stations. Our services leverage machine learning models to enable real-time content personalization and targeted distribution across web, mobile, and connected TV platforms, ensuring that users receive the most relevant and engaging news content tailored to their interests. Our mission is to drive seamless, resilient, and low-latency personalized content delivery at scale, while continuously advancing our ML infrastructure and recommendation algorithms.

As a Lead Machine Learning Engineer, you will play a leading role in shaping the technical direction of the News ML Platform. You will drive infrastructure for scalable learning, inference, and monitoring, conduct in-depth data exploration and analysis, and collaborate across product, data, and engineering teams to power exceptional, personalized guest experiences. Your work will directly support strategic initiatives to help shape the roadmap for algorithmic innovation while ensuring that solutions are scalable, impactful, and aligned with stakeholder needs.

Responsibilities and Duties of the Role:

  • Own complex technical initiatives end-to-end, from technical design through production deployment and operational excellence
  • Design and develop infrastructure supporting the full cycle of machine learning, including data pipelines and workflow orchestration, data discovery and quality tools, and feature libraries
  • Drive data and ML-driven solutions for diverse engineering use cases such as recommendation systems, object detection, autogenerated tagging solutions, RAGs
  • Partner with product, editorial, and engineering stakeholders to translate business requirements into robust technical solutions
  • Strategically prioritize initiatives and technical workstreams to deliver the highest-impact and most time-sensitive outcomes, while proactively identifying, communicating, and mitigating risks to ensure successful execution
  • Champion engineering best practices across code quality, testing, CI/CD, observability, and incident response
  • Mentor and coach engineers, fostering a culture of ownership, collaboration, and continuous improvement
  • Contribute to technical documentation and promote knowledge sharing across teams

Required Education, Experience/Skills/Training:

Minimum and Preferred. Inclusive of Licenses/Certs (include functional experience as well as behavioral attributes and/or leadership capabilities)

Basic Qualifications

  • Bachelor's degree in computer science, Information Systems, Statistics, Math, or comparable field of study, and/or equivalent work experience
  • 7+ years of software engineering experience
  • 5+ years of hands-on experience developing and deploying machine learning systems in production
  • Expertise in data science, deep learning algorithms, or statistical methods to solve real-world engineering problems
  • Comfortable operating at all levels of the predictive stack, including data collection, data analysis, feature engineering, batch training and low-latency online serving
  • Experience designing and developing backend microservices for large-scale distributed systems using REST
  • Experience with cloud infrastructure, preferably AWS (Step Functions, Lambda, Glue, SQS, SNS, Personalize)
  • Familiarity with developing and deploying Spark and ML pipelines
  • Hands-on experience with big data technologies such as Databricks, Kinesis, Kafka
  • Proven leadership, coaching, and mentoring skills, with the ability to inspire and empower a team towards achieving business goals
  • Experience with observability tools for metrics, logging, and monitoring such as Datadog
  • Experience working in Agile/Scrum development environments
  • Excellent communication skills and a commitment to collaboration in a fast-paced, guest-focused environment
The hiring range for this position in New York, NY is $148,700 - $199,400 per year and in Glendale, CA is $141,900 - $190,300. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Job Posting Segment:

Commerce, Data & Identity

Job Posting Primary Business:

PE - Sports, News & Entertainment, Enablement

Primary Job Posting Category:

Machine Learning

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Glendale, CA, USA

Alternate City, State, Region, Postal Code:

USA - NY - 7 Hudson Square

Date Posted:

2026-06-23

What Walt Disney Company employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Walt Disney logo

About Walt Disney

Sourced by ZipRecruiter

At Disney, we're storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. "We create happiness." That's our motto at Walt Disney Parks and Resorts. And it permeates everything we do. At Disney, you'll help inspire that magic by enabling our teams to push the limits of entertainment and create the never-before-seen!

Industry

Amusement, gambling, and recreation

Company size

10,000+ Employees

Headquarters location

Burbank, CA, US

Social media

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