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Machine Learning Engineer Quantization Jobs in Nebraska

penlink

AI Engineer

Lincoln, NE · On-site

You'll partner closely with product, design, and engineering to turn business needs into reliable ... Research, fine-tune, and deploy machine learning and large language models to support business and ...

penlink

AI Engineer

Lincoln, NE · On-site +1

You'll partner closely with product, design, and engineering to turn business needs into reliable ... Research, fine-tune, and deploy machine learning and large language models to support business and ...

ultimus

Senior AI Engineer

Omaha, NE

$100K - $137K/yr

Architect and scale machine learning pipelines to support automated workflows across Fund ... Mentor junior engineering staff and advise the Managing Director on technical priorities and secure ...

Meta

NE

$193K/yr

Meta is building the next generation of AI infrastructure to power large-scale machine learning ... Network Engineer, AI Infrastructure Repair Responsibilities: * Define and drive the long-term ...

Warnerbros

Principal Data Scientist

Bellevue, NE · On-site

  • Medical

  • Life

  • Retirement

  • PTO

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.

New

Agile Defense

Data Scientist

Omaha, NE

This role is part of a multidisciplinary team integrating advanced analytics, machine learning, and engineering practices into mission-critical environments at Combatant Commands. You will help shape ...

Webforge

Associate Machine Design Engineer

Omaha, NE · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Associate Machine Design Engineer supports the design and development of proprietary ... This position emphasizes hands-on learning, technical growth, and exposure to the full equipment ...

Webforge

Associate Machine Design Engineer

Valley, NE · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Associate Machine Design Engineer supports the design and development of proprietary ... This position emphasizes hands-on learning, technical growth, and exposure to the full equipment ...

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All JobsMachine Learning Engineer Quantization JobsMachine Learning Engineer Quantization Jobs in Nebraska

Machine Learning Engineer Quantization information

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 are popular job titles related to Machine Learning Engineer Quantization jobs in Nebraska?

For Machine Learning Engineer Quantization jobs in Nebraska, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Quantization jobs in Nebraska look for?

The top searched job categories for Machine Learning Engineer Quantization jobs in Nebraska are:

What cities in Nebraska are hiring for Machine Learning Engineer Quantization jobs?

Cities in Nebraska 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 Nebraska as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

AI Engineer

penlink

Lincoln, NE • On-site

Full-time

Re-posted yesterday

Job description

Penlink is a technology company bringing clarity to complex data for people who need it now. We partner with law enforcement agencies across the United States, offering a software solution to manage data and aid investigators solving crimes. It sounds like a lot of data and analytics, but really, it’s about improving the world and keeping safe the places we call home.

We focus on creating products that positively impact our communities and being "in the mission" and less about the laidback culture and amazing benefits – even though we offer those too. With our get it done attitude and focused mission we are growing at an unprecedented rate and are therefore seeking an AI Engineer to design, build, and ship AI-powered features in production. You’ll work across the stack from prompt design and model integration to evaluation, deployment, and optimization. You’ll partner closely with product, design, and engineering to turn business needs into reliable AI systems.

This role is a great fit if you enjoy working at the intersection of applied machine learning and product engineering, and you’re comfortable iterating in a space where the tools and best practices are still evolving quickly.

YOUR RESPONSIBILITIES

  • Design, develop, and implement AI-powered features and applications
  • Research, fine-tune, and deploy machine learning and large language models to support business and product initiatives
  • Integrate AI models into existing applications and backend systems through APIs and scalable architectures
  • Build and maintain data pipelines, including collecting, cleaning, preparing, and validating datasets for model training and evaluation
  • Monitor, evaluate, and maintain model performance through testing, benchmarking, and performance metrics
  • Optimize AI systems for scalability, latency, reliability, and cost efficiency
  • Collaborate cross-functionally with Product, Design, and Engineering teams to translate business needs into practical AI-driven solutions
  • Contribute to continuous improvement efforts surrounding AI development processes, tooling, and best practices
  • Communicate AI capabilities, limitations, and recommendations clearly to both technical and non-technical stakeholders
  • Promote responsible AI practices by considering model bias, ethical implications, and system transparency throughout development

Requirements:

YOUR COMPETENCIES & EXPERIENCE

  • 5+ years of professional software engineering experience, including hands-on experience building and deploying production AI or machine learning systems
  • Demonstrated experience delivering at least one AI-powered product or feature to end users in a production environment
  • Strong programming skills, particularly in Python
  • Experience with machine learning and deep learning frameworks such as PyTorch, TensorFlow, or JAX
  • Familiarity with large language model ecosystems and tools including prompt engineering, embeddings, vector databases, and Retrieval-Augmented Generation (RAG) pipelines
  • Experience fine-tuning and evaluating machine learning or large language models
  • Knowledge of cloud platforms and deploying AI/ML solutions within scalable environments
  • Strong analytical and problem-solving skills with the ability to navigate ambiguity and rapidly evolving technologies
  • Excellent written and verbal communication skills, including the ability to explain AI concepts and model behavior to non-technical audiences
  • Understanding of AI limitations, bias mitigation, and ethical considerations related to machine learning systems
  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or equivalent practical experience

This position currently follows a hybrid schedule requiring two days per week in our Lincoln, Nebraska office. Onsite requirements may be adjusted based on business needs and company or departmental policy.