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Machine Learning Engineer Quantization Jobs in Schaumburg, IL

IMC

Machine Learning Researcher

Chicago, IL · On-site

... machine learning & deep learning to solve challenging trading problems. This role is part of a ... The ideal candidate will have experience working with other researchers and engineers to build and ...

Meta

Software Engineer, Machine Learning

Chicago, IL · On-site +1

$183K/yr

Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences * Implement ...

Varsity Tutors

Machine Learning Tutor

Highland Park, IL · 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

Evanston, IL · 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

Oak Lawn, IL · 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

Chicago, IL · 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

Des Plaines, IL · 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

Schaumburg, IL · 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

Skokie, IL · 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

Wheaton, IL · 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

Naperville, IL · 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 ...

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All JobsMachine Learning Engineer Quantization JobsMachine Learning Engineer Quantization Jobs in Schaumburg, IL

Machine Learning Engineer Quantization information

See Schaumburg, IL salary details

$30.9K

$126.4K

$190K

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

As of Jul 19, 2026, the average yearly pay for machine learning engineer quantization in Schaumburg, IL is $126,447.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,700.00 and $152,200.00 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 Schaumburg, IL? For Machine Learning Engineer Quantization jobs in Schaumburg, IL, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Quantization jobs in Schaumburg, IL look for? The top searched job categories for Machine Learning Engineer Quantization jobs in Schaumburg, IL are:
What cities near Schaumburg, IL are hiring for Machine Learning Engineer Quantization jobs? Cities near Schaumburg, IL with the most Machine Learning Engineer Quantization job openings:
Machine Learning Engineer Quantization jobs near you
Senior Software Engineer - Machine Learning

Senior Software Engineer - Machine Learning

Uber Freight

Chicago, IL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 12 days ago

Uber Freight rating

7.3

Company rating: 7.3 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

163rd of 356 rated logistics

Job description

Schedule: Full Time Employment
Job Type: Hybrid
Salary Type: Salary
Req #: 2536
No immigration sponsorship or transfer available for this role.
About the Team
The Uber Freight team is building a better future for shipping. We believe that when shippers and carriers have the freedom to move together, the entire industry moves ahead. Our teams design and build innovative applications, infrastructure, and models to power Uber Freight. Utilizing Uber's foundational elements, these include the mobile app for Carriers, the portals and integrations that give Shipper's access to the platform, tools for our Operations teams, and all the underlying pricing, matching, and forecasting algorithms that evolve the freight industry forward.
What the candidate will do
As a Senior Engineer you will drive the development of high-impact solutions for Uber Freight's marketplace and operations by leveraging a deep foundation in traditional machine learning alongside emerging Generative AI applications. You will spearhead the end-to-end lifecycle of predictive models-from identifying step-change opportunities and researching advanced techniques to overseeing rapid prototyping and robust production monitoring at scale. While your primary focus will be on optimizing logistics operations and network effects through core ML, you will also guide the team in integrating GenAI and Agentic systems where they drive the most business value, collaborating with cross-functional stakeholders to deliver scalable, production-ready models that redefine efficiency.
Basic Qualifications
  • At least 5+ years of Machine Learning engineering experience
  • Experience deploying ML models at scale using frameworks like PyTorch, TensorFlow, Scikit-Learn, or Spark MLlib
  • Experience in one or more programming languages including Python, Go or Java
  • Proven experience with designing and implementing machine learning models in production environments with large data sets
  • Deep understanding of ML theory and a broad toolkit of algorithms, including deep learning, instance-based learning, and traditional statistical models

Preferred Qualifications
  • BS, MS or PhD degree in computer science, Data Science, ML or equivalent practical experience
  • Experience with designing and implementing machine learning models in production environments applied to generative AI, applications of large language models
  • Experience in stream processing--Storm, Spark, Flink etc.-- and graph processing technologies.
  • Explain & communicate Algorithm choices, ML system design & concepts to leadership, technical peers & industry experts
  • Strong adherence to metrics driven development, with a disciplined and analytical approach to product development.

Benefits & Compensation for U.S. Employees
Employees working more than 30 hours in the US at Uber Freight are eligible for benefits like a company sponsored health plan, dental and vision benefits, 401k match, financial and mental wellness benefits, parental leave, short- and long-term disability coverage, life insurance and more. US based employees may also be eligible for a performance or sales incentive bonus program, participation in Uber Freight equity awards, and other types of compensation depending upon the role.
About Uber Freight
Uber Freight helps companies move goods more reliably and efficiently. We bring together the technology, people, and transportation capacity they need, using real-time data from millions of shipments to guide smarter decisions. That helps customers spot issues early, avoid costly surprises, and deliver on time. Uber Freight works with 1 in 3 Fortune 500 shippers across North America and manages over $17B in freight. Learn more at www.uberfreight.com.
Candidate Privacy Notice
Uber Freight is committed to protecting the privacy of our candidates. We collect and process personal data in accordance with applicable data protection laws. For detailed information on how we handle candidate data, please review our Candidate Privacy Notice.
EEOC
Uber Freight is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regards to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
For Chicago-based roles: The salary range for this role is $152,000.00 - $186,000.00 per year

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