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Machine Learning Engineer Quantization Jobs in Chester, NJ

We are looking for a talented AI Solution Engineer to join our innovative team. This role involves ... Machine Learning: Proficiency in machine learning algorithms and techniques. Experience with ...

Machine Learning Tutor

Summit, NJ · 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 ...

Machine Learning Tutor

Clifton, NJ · 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 ...

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

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

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

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

... machine learning models and large language models. • Conduct research to provide technical ... & DevOps teams, Data scientists, Machine Learning & GenAI Engineers, and Business teams to pilot ...

AI Solutions Architect

Morristown, NJ

$64.75 - $85.50/hr

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

Machine Learning Ops Engineer to build & support scalable, highly available and robust Machine Learning (Client) /Deep Learning (DL) platform using Client/DL frameworks, High-Performance Computing ...

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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 Jun 24, 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 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 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 ML Engineer

Argyle Infotech

Passaic, NJ • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Machine Learning ML Engineer

Client Location: Princeton, NJ Duration: 6 MONTHS plus Type: Hybrid

Job Description: We need an ML Engineer, who should work from their Princeton office 2-3 days a week in-person starting ASAP. Here is the high level skillset.

  • Design and Manage production pipelines for enterprise scale projects by running necessary ML tests and benchmarks for model validation
  • Fine-tune, retrain and scale existing model deployments
  • Experience with SOTA models related to NLP like Classification, Summarization, Phrase extraction, Table Extraction and OCR
  • Proficiency in Python (Numpy, Pandas, Spacy, Sklearn), AWS (Terraform, CFT, Lambda, Fargate, ECS), SQL, Docker and Django