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Machine Learning Engineer Quantization Jobs in West Henrietta, NY

Pwc

AI & GenAI Data Scientist - Manager

Rochester, NY

$99K - $232K/yr

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based ...

AMD

2027 PhD Research Engineering Intern/Co-op

Rochester, NY · On-site

$16.50 - $21.50/hr

... machine learning) * FPGA or ASIC-based RTL design and verification, FPGA deployment and programming ... FPGA based acceleration of cloud applications, programmable data plane, machine learning training ...

Stellantis

Technology Manager

Hopewell, NY · On-site

This role requires hands-on expertise in programming, systems integration, analytics, and the implementation of cutting-edge technologies such as artificial intelligence, machine learning, and ...

Socket.dev

AI Solutions Engineer

Rochester, NY · On-site

$120 - $150/hr

Solutions Architect Associate/Professional, Machine Learning Specialty, or Developer Associate (preferred) * Background in healthcare, financial services, or regulated industries with understanding ...

D3 Engineering

Engineering Program Manager

Rochester, NY · On-site

$101.10 - $146.70/hr

Master of Science or PhD in Computer Vision, Machine/Deep Learning, Computer Science, Computer/Electrical/Software Engineering, or a related field. * Experience with autonomous/industrial robotic ...

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All JobsMachine Learning Engineer Quantization JobsMachine Learning Engineer Quantization Jobs in West Henrietta, NY

Machine Learning Engineer Quantization information

See West Henrietta, NY salary details

$30.2K

$123.5K

$185.7K

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

As of Sep 4, 2026, the average yearly pay for machine learning engineer quantization in West Henrietta, NY is $123,546.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,400.00 and $148,700.00 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.

What job categories do people searching Machine Learning Engineer Quantization jobs in West Henrietta, NY look for?

The top searched job categories for Machine Learning Engineer Quantization jobs in West Henrietta, NY are:

What cities near West Henrietta, NY are hiring for Machine Learning Engineer Quantization jobs?

Cities near West Henrietta, NY with the most Machine Learning Engineer Quantization job openings:

Machine Learning Engineer Quantization jobs near you

Software Engineer - University Graduate (US)

Citadel LLC

Rochester, NY • On-site

$235 - $300/hr

Other

Medical, Life, Retirement

Posted 29 days ago

Job description

At Citadel, our Software Engineers work in small teams to turn the best ideas into high-performing and resilient technology. With short development cycles, work rapidly goes into production. As an engineer, you can create systems architectures, develop platforms and build web frameworks. You’ll have access to state-of-the-art tools and apply innovative techniques including distributed computing, natural language processing, machine learning and more.

Your Objectives
  • Create technological tools that bring trading strategies to life
  • Develop high-performance, large data research platforms
  • Work in small teams to build the future of finance
Your Skills & Talents
  • Bachelor's or master's in computer science, engineering or related fields
  • Exceptional programming (C++, Python preferred) and design skills
  • Strong analytical skills and familiarity with probability and statistics
  • Ability to communicate effectively in a collaborative, complex and highly technical team environment
  • Intellectual curiosity and passion for solving challenging problems using technology

Opportunities available in New York, Miami, Greenwich, and Houston.

In accordance with applicable law, the base salary range for this role is $235,000 to $300,000.

In addition, the employee who fills this role will be eligible to participate in a discretionary incentive compensation program, as well as a wide array of benefit programs, such as medical and life insurance, retirement and tax‑free savings plans, and access to other healthcare programs.

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