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Machine Learning Engineer Quantization Jobs in Chester, NJ

Highbrow LLC

Sr. Python AI/ML Engineer

Morris Plains, NJ · On-site

$100 - $140/hr

Job Title: Sr. Python AI/ML Engineer Job ID: 2024-13143 Job Location: Morris Plains, NJ - hybrid ... Open AI, Machine Learning, Natural language libraries, Python Job Responsibilities: * Work on ...

SynergisticIT

Backend Developer - Remote

Piscataway, NJ · On-site

$50.50 - $65.50/hr

Java and Python can support software roles, while SQL, analytics, and machine learning can open ... We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts ...

Amazon

Senior Software Development Engineer, AI

Newark, NJ · On-site

$128K - $168K/yr

ABOUT THE TEAM Our AI/ML Engineering team is at the forefront of transformative technological ... We are a dynamic, collaborative group of technologists who push the boundaries of machine learning ...

Amazon

Senior Software Development Engineer, AI

Newark, NJ · On-site

$128K - $168K/yr

ABOUT THE TEAM Our AI/ML Engineering team is at the forefront of transformative technological ... We are a dynamic, collaborative group of technologists who push the boundaries of machine learning ...

Pwc

AI Solutions Engineering Delivery Lead

Florham Park, NJ

$107K - $141K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Monitise

AI Engineer

Berkeley Heights, NJ

As an AI Engineer you will apply advanced machine learning and statistical techniques to detect, prevent, and respond to cyber threats. You will work closely with cybersecurity engineers, threat ...

Verizon

Senior AI Engineer

Basking Ridge, NJ · On-site

$107K - $147K/yr

In this role, you will be providing advanced machine learning modeling support that empowers our ... Partnering with technology and data engineering teams to scale machine learning workflows and ...

DPR Construction

MLOps Engineer

East Brunswick, NJ · On-site

We are looking for aMLOps Engineerto join our team and contribute to developing robust data solutionsto support our Machine Learning,Data Science, Data Engineering and Software Engineering. Position ...

Amazon

Senior Software Development Engineer, AI

Newark, NJ · On-site

$128K - $168K/yr

ABOUT THE TEAM Our AI/ML Engineering team is at the forefront of transformative technological ... We are a dynamic, collaborative group of technologists who push the boundaries of machine learning ...

Deloitte

Lead Forward Deployed Engineer - AWS

Morristown, NJ

$105K - $138K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Edgestream

Quantitative Software Engineer

Princeton, NJ · On-site

Together with the researchers and our engineering team, you will maintain and build novel machine learning tools and research infrastructure, and support researchers in running large-scale scientific ...

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All JobsMachine Learning Engineer Quantization JobsMachine Learning Engineer Quantization Jobs in Chester, NJ

Machine Learning Engineer Quantization information

See Chester, NJ salary details

$33.4K

$136.4K

$204.9K

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

As of Aug 23, 2026, the average yearly pay for machine learning engineer quantization in Chester, NJ is $136,385.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $164,200.00 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 cities near Chester, NJ are hiring for Machine Learning Engineer Quantization jobs?

Cities near Chester, NJ with the most Machine Learning Engineer Quantization job openings:

Machine Learning Engineer Quantization jobs near you

Quantitative Software Engineer

Edgestream Partners, L.P.

Princeton, NJ • On-site

Full-time

Re-posted 10 days ago

Job description

Job Summary:
Edgestream Partners is a team of scientists, engineers, and investment professionals dedicated to developing quantitative models of financial markets. They are seeking a Quantitative Software Engineer to maintain and build machine learning tools and research infrastructure, supporting researchers in large-scale scientific experiments with market data.
Responsibilities:
• Maintain and build novel machine learning tools and research infrastructure.
• Support researchers in running large-scale scientific experiments with market data and alternative data sources.
Qualifications:
Required:
• A Bachelor's or Master's degree in Computer Science, Engineering, or a closely related field.
• Exceptional proficiency in programming (Python preferred) and software design.
• Strong analytical foundation, including familiarity with probability, statistics, and machine learning.
• Demonstrated experience utilizing quantitative software libraries such as numpy/pandas, scikit-learn, or equivalent packages.
• The ability to communicate effectively within a complex, highly technical, and collaborative team environment.
• A genuine intellectual curiosity and a passion for using technology to solve challenging problems.
Preferred:
• Deep familiarity with financial market data structures, including equities, futures, and FX datasets.
• Familiarity with numerical optimization techniques.
• Experience building resilient, parallelized data transformation architectures for machine learning and statistical analysis and reporting.
Company:
Edgestream Partners, L.P. ("Edgestream"​) is devoted to institutional investment management in an ever-changing world. Founded in 2003, the company is headquartered in Princeton, USA, with a team of 11-50 employees. The company is currently Early Stage.

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