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Machine Learning Engineer Quantization Jobs in Bronx, NY

PROPRIUS

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

Sr. Machine Learning Engineer Location: New York, NY Sponsorship: Yes Relocation: Yes Industry ... model quantization, fixed point neural networks (CNN and RNN) * Excellent research and problem ...

HeyMilo AI

Machine Learning Engineer

Manhattan, NY

Machine Learning Engineer Company: HeyMilo AI Location: New York, NY, USA Contract Details: Full-time HeyMilo AI is a fast-growing startup based in New York City that specializes in developing ...

Forhyre

Machine Learning Engineer

New York, NY

We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...

Purple Drive

Machine Learning Engineer

Newark, NJ

Machine Learning Engineer As a Machine Learning Engineer , you will play a critical role in designing, developing, and deploying advanced machine learning solutions that drive innovation and create ...

Spotify

Machine Learning Engineer

Manhattan, NY · On-site +1

$170K - $212K/yr

Machine Learning Engineer The Music Promotion team is building products that allow creators to promote their work to reach new audiences and create lasting connections with their fans. We're looking ...

Hang

Machine Learning Engineer

New York, NY · On-site +1

About the Role We are seeking a skilled and innovative Machine Learning Engineer to join our team. This person will implement and develop machine learning models to enhance our platform ...

Associated Press

Machine Learning Engineer

New York, NY · Hybrid

$145K - $180K/yr

... for our machine learning capabilities. The ML Engineer has hands-on experience building and ... Demonstrated ownership of deep-learning inference optimization in production (quantization ...

Quanta Search

Machine Learning Engineer

Manhattan, NY · On-site

Machine Learning Engineers build production grade machine learning algorithms that operate in real time or at scale. They have a very deep understanding of machine learning algorithms and cloud ...

Associated Press

Machine Learning Engineer

Manhattan, NY · On-site

$145K - $180K/yr

... for our machine learning capabilities. The ML Engineer has hands-on experience building and ... Demonstrated ownership of deep-learning inference optimization in production (quantization ...

Associated Press

Machine Learning Engineer

Manhattan, NY · Hybrid

$145K - $180K/yr

... for our machine learning capabilities. The ML Engineer has hands-on experience building and ... Demonstrated ownership of deep-learning inference optimization in production (quantization ...

Associated Press

Machine Learning Engineer

Manhattan, NY · Hybrid

$145K - $180K/yr

... for our machine learning capabilities. The ML Engineer has hands-on experience building and ... Demonstrated ownership of deep-learning inference optimization in production (quantization ...

ClifyX

Machine Learning Engineer

Manhattan, NY

Machine Learning Engineer The Viacom Data Platform is looking for an awesome Machine Learning Engineer with hands-on experience in developing and maintaining scalable machine learning applications ...

Point72

Machine Learning Engineer

New York, NY · On-site

We are seeking a Machine Learning Engineer to join the High Frequency Trading Technology team. This role will apply the latest AI technologies to solve various real-world problems and streamline day ...

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All JobsMachine Learning Engineer Quantization JobsMachine Learning Engineer Quantization Jobs in Bronx, NY

Machine Learning Engineer Quantization information

See Bronx, NY salary details

$32.8K

$134.1K

$201.6K

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

As of Jun 15, 2026, the average yearly pay for machine learning engineer quantization in Bronx, NY is $134,147.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,700.00 and $161,500.00 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 Bronx, NY? For Machine Learning Engineer Quantization jobs in Bronx, NY, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Quantization jobs in Bronx, NY look for? The top searched job categories for Machine Learning Engineer Quantization jobs in Bronx, NY are:
What cities near Bronx, NY are hiring for Machine Learning Engineer Quantization jobs? Cities near Bronx, NY with the most Machine Learning Engineer Quantization job openings:
Machine Learning Engineer Quantization jobs near you

Senior Machine Learning Engineer

PROPRIUS

New York, NY • On-site

$114K - $157K/yr

Full-time

Posted 19 days ago

Job description

Sr. Machine Learning Engineer

Location: New York, NY

Sponsorship: Yes

Relocation: Yes

Industry: Machine Learning

A leading provider of AI is looking for a Sr. ML Engineer. Our client is an industry leader in many different facets, such as: apps, games, devices, applications and digital experiences across; online education, healthcare, gaming, robotics, experiential design, market research, automotive, retail, human resources, training and coaching, media and advertising, video communication, and in wearables and devices.

Originally a facial recognition company, this organization is constantly innovating and now looking for a Lead Machine Learning Engineer to expand their capacity to next generation vehicles which can act on both visual and audio cues.

When successful, your research will be deployed into millions of vehicles worldwide.

This is an opportunity to join a well-funded, highly regarded team who are partnered with and backed by world-leading tech giants. This company already has many existing clients, patented technology, and rapid growth plans.

For this role you will need;

  • PhD or MS in Computer Science and Electrical Engineering
  • Expert level coding skills (Python, C++ at minimum)
  • 3+ years’ experience working with machine learning in embedded applications: model quantization, fixed point neural networks (CNN and RNN)
  • Excellent research and problem-solving skills along with communication and the ability to flourish in a fast-paced environment.

PROPRIUS is an AI Industry recruiting firm. We’re lucky enough to recruit the best candidates into the most exciting companies all over the United States. We deliver performance.