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Machine Learning Engineer Quantization Jobs in Mount Royal, NJ

Burro

Senior Robotics AI Engineer

Philadelphia, PA · On-site

$99.90K - $137.10K/yr

... machine learning systems. Responsibilities : • Own the development and productionization of ML ... with quantization, pruning and other model compression techniques. • Strong problem solving ...

Vangard, Inc.

Senior AI/ML Engineer

Malvern, PA · On-site

$102.50K - $140.80K/yr

Develop and optimize complex data pipelines, applying machine learning engineering principles to enhance efficiency and scalability. * Integrate and optimize data and model pipelines within ...

Vangard, Inc.

Senior AI/ML Engineer

Philadelphia, PA · On-site

$105.40K - $144.80K/yr

Develop and optimize complex data pipelines, applying machine learning engineering principles to enhance efficiency and scalability. * Integrate and optimize data and model pipelines within ...

Deloitte

AI Data Engineer Manager

Philadelphia, PA · On-site

... 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 ...

RELX Group plc

Senior ML Ops Engineer

Philadelphia, PA · On-site

$107.65K - $171.95K/yr

Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global organization? Are you looking to drive cutting edge products that have a true societal impact? About ...

Elsevier

Senior ML Ops Engineer

Philadelphia, PA

$107.65K - $171.95K/yr

Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global organization? Are you looking to drive cutting edge products that have a true societal impact? About ...

RELX

Senior ML Ops Engineer

Philadelphia, PA

$107.65K - $171.95K/yr

Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global organization? Are you looking to drive cutting edge products that have a true societal impact? About ...

Elsevier

Senior ML Ops Engineer

Philadelphia, PA · On-site

$107.65K - $171.95K/yr

Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global organization? Are you looking to drive cutting edge products that have a true societal impact? About ...

Vangard, Inc.

Principal AI/ML Engineer

Malvern, PA · On-site

Serves as a thought partner for Machine Learning Operations team. * Leads engineering design for complex data pipeline designs. Proficient in developing highly efficient designs and strategy for both ...

Vanguard Group

Principal AI/ML Engineer

Malvern, PA · On-site

Serves as a thought partner for Machine Learning Operations team. * Leads engineering design for complex data pipeline designs. Proficient in developing highly efficient designs and strategy for both ...

Deloitte

AI Solutions Architect

Philadelphia, PA

$63.50 - $83.75/hr

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

Burro

Senior Robotics AI Engineer

Philadelphia, PA

$160K - $180K/yr

We are seeking a Senior Robotics AI Enginee r with strong applied machine learning and robotics ... quantization, pruning and other model compression techniques. * Strong problem solving mindset and ...

Burro

Senior Robotics AI Engineer

Philadelphia, PA · On-site

$160K - $180K/yr

We are seeking a Senior Robotics AI Enginee r with strong applied machine learning and robotics ... quantization, pruning and other model compression techniques. * Strong problem solving mindset and ...

Vangard, Inc.

AI/ML Product Manager

Malvern, PA · On-site

Certifications are valued but not required; examples include Certified Scrum Product Owner (CSPO), AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, or ...

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All JobsMachine Learning Engineer Quantization JobsMachine Learning Engineer Quantization Jobs in Mount Royal, NJ

Machine Learning Engineer Quantization information

See Mount Royal, NJ salary details

$30K

$122.8K

$184.5K

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

As of May 31, 2026, the average yearly pay for machine learning engineer quantization in Mount Royal, NJ is $122,775.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,800.00 and $147,800.00 per year, depending on experience, location, and employer.

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 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 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 Mount Royal, NJ are hiring for Machine Learning Engineer Quantization jobs? Cities near Mount Royal, NJ with the most Machine Learning Engineer Quantization job openings:
Machine Learning Engineer Quantization jobs near you
Senior Robotics AI Engineer

Senior Robotics AI Engineer

Burro

Philadelphia, PA • On-site

$99.90K - $137.10K/yr

Full-time

Posted 2 days ago

Job description

Job Summary:
Burro is the leading robotics company in the world by number of robots working outdoors in the field with real customers. They are seeking a Senior Robotics AI Engineer to own and evolve the intelligence behind robot perception and navigation, focusing on the development and productionization of machine learning systems.
Responsibilities:
• Own the development and productionization of ML systems, including model design, training, fine tuning, optimization, deployment and continuous improvement.
• Develop and adapt models across multimodal inputs (e.g., camera, LiDAR) and other AI domains as product needs evolve.
• Integrate ML outputs into the robotics stack, ensuring reliable performance under real-time and hardware constraints.
• Investigate customer reported issues and drive root-cause analysis to improve system robustness.
• Build and improve infrastructure for rapid experimentation, model iteration, evaluation and deployment.
• Improve and scale data collection, labeling, preprocessing and validation pipelines to ensure high-quality training datasets.
• Implement robust simulation and field testing workflows, along with production monitoring to detect drift and performance degradation.
• Collaborate cross-functionally with Product and Engineering to translate requirements into scalable AI solutions.
Qualifications:
Required:
• Master’s degree or PhD in Robotics, Computer Science or a related technical field.
• 4+ years of professional experience in developing software for robotics and machine learning.
• Strong proficiency in Python and C++.
• Experience using ML frameworks like TensorFlow, PyTorch, or similar.
• Proven experience building, deploying and maintaining ML models in production, ideally on edge systems.
• Hands-on experience working with camera and LiDAR data for perception and navigation tasks.
• Experience with ML optimization and acceleration tools (e.g., TensorRT), including familiarity with quantization, pruning and other model compression techniques.
• Strong problem solving mindset and comfort working across system boundaries.
• Ability to clearly communicate complex advanced concepts to both technical and non-technical stakeholders.
• Continual learning mindset and staying updated with the latest ML research and methodologies.
Preferred:
• MLOps Experience (experiment tracking, dataset versioning)
• Proficiency in ROS
• Familiarity with Docker, Linux and production infrastructure environments
Company:
Burros are the category-defining autonomous mobile robot for outdoor automation alongside people in agricultural and industrial settings Founded in 2017, the company is headquartered in Philadelphia, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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