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Machine Learning Engineer Quantization Jobs in Louisville, NE

GE HealthCare

AI Engineer

Bellevue, NE · On-site

$108K - $130K/yr

Summary The AI Scientist will work in teams addressing statistical, machine learning and data ... Optimize foundation models through prompt engineering, fine-tuning, distillation, quantization, and ...

Varsity Tutors

Machine Learning Tutor

Omaha, NE · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Lincoln, NE · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

GE HealthCare

AI Scientist

Bellevue, NE · On-site

... quantization, etc. Additionally, you will be responsible for: * Developing and implementing novel machine learning algorithms particularly in the area of LLM to provide automation of clinical tasks ...

Mutual of Omaha

AI Engineer - Remote

Omaha, NE · Remote

This role calls for a multifaceted expert with deep knowledge of Machine Learning, Generative AI, and DevOps who can seamlessly align technical solutions with business needs. You will champion ...

Warnerbros

Principal Data Scientist

Bellevue, NE

Partner with ML engineering leadership to design and develop scalable machine learning systems to accelerate the learning cycle. * Identify data science opportunities that deliver business value.

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All JobsMachine Learning Engineer Quantization JobsMachine Learning Engineer Quantization Jobs in Louisville, NE

Machine Learning Engineer Quantization information

See Louisville, NE salary details

$29.8K

$121.9K

$183.1K

How much do machine learning engineer quantization jobs pay per year?

As of Sep 8, 2026, the average yearly pay for machine learning engineer quantization in Louisville, NE is $121,872.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,100.00 and $146,700.00 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.

Machine Learning Engineer Quantization jobs near you
Infographic showing various Machine Learning Engineer Quantization job openings in Louisville, NE as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $121,872 per year, or $58.6 per hour.

Senior Machine Learning Engineer Video AI (Vision & Creative Systems)

Warnerbros

Bellevue, NE • On-site

$99K - $135K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 17 days ago

Key responsibilities

  • Design, build, and deploy machine learning models for video understanding and multimodal systems

  • Develop capabilities for creative workflows, including VFX, storyboarding, and color grading

  • Work across the full ML lifecycle: data processing, model development, evaluation, and production deployment

Job description

Welcome to Warner Bros. Discovery... the stuff dreams are made of.

Who We Are...

When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what's next...

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

At HBO Max, storytelling takes center stage. We're one of the world's most iconic entertainment brands - home to bold originals and unforgettable characters. While audiences binge award-winning content, breaking news, and sports around the clock, our teams stay busy at work creating what's next in streaming. From Succession, Euphoria, and The Sopranos to global franchises like Game of Thrones and Harry Potter, our content sparks conversation and shapes culture.

HBO Max delivers boundary-pushing stories across genres and platforms, connecting millions of viewers across 90 countries globally- and we're just getting started. We're home to the most talked about shows and movies, granting audiences access to the worlds of HBO, Harry Potter, DC, Warner Bros., ID, Adult Swim, A24, and more. Turn your streaming obsession into a career- we're hiring!

Senior Machine Learning Engineer Video AI (Vision & Creative Systems)

Job Description

What We Do

We build next-generation AI systems for video, spanning both large-scale video understanding and creative studio workflows. Our work combines computer vision, multimodal learning, and machine learning to enable capabilities such as scene understanding, metadata generation, visual effects, storyboarding, and color enhancement across media content.

We focus on taking ML from research to production, integrating models into real-world systems used by engineering, product, and creative teams. Our goal is to build scalable, high-quality solutions that power both content intelligence and creative workflows.

What You'll Do

  • Design, build, and deploy machine learning models for video understanding and multimodal systems
  • Develop capabilities for creative workflows, including VFX, storyboarding, and color grading
  • Work across the full ML lifecycle: data processing, model development, evaluation, and production deployment
  • Improve model quality using fine-tuning, prompt-based methods, and modern vision/language models
  • Collaborate with engineering, product, and creative partners to integrate ML into production pipelines and user workflows
  • Contribute to scalable systems for processing and understanding large volumes of video content
  • Prototype quickly while also building robust, production-ready systems

Qualifications & Experience

  • 4+ years of experience in machine learning, with a focus on computer vision or video
  • Master's or PhD in Computer Science, Machine Learning, or a related field
  • Strong experience with deep learning frameworks (PyTorch and/or TensorFlow)
  • Strong programming skills (Python) and solid computer science fundamentals
  • Experience with video models (e.g., segmentation, tracking, scene understanding, temporal modeling)
  • Familiarity with multimodal systems (vision + language, embeddings, retrieval)
  • Familiarity with state-of-the-art image, video, and language models and their application to multimodal tasks
  • Ability to implement and adapt algorithms from recent research in computer vision (especially video)
  • Exposure to generative or enhancement techniques (e.g., diffusion, inpainting, color/style transfer)
  • Experience building end-to-end ML pipelines (data, training, evaluation, deployment)
  • Experience working with large-scale datasets and distributed systems
  • Ability to translate ambiguous problems into clear technical solutions
  • Strong collaboration and communication skills across technical and non-technical teams

How We Get Things Done...

This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.

Championing Inclusion at WBD

Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.

If you're a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery's total compensation package for employees. Pay Range: $150,640.00 - $279,760.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.If you're a qualified candidate with an arrest or conviction record, please know that your application will be considered in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

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