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Machine Learning Engineer Quantization Jobs in Mount Royal, NJ

Elsevier

Senior ML Ops Engineer

Philadelphia, PA · On-site

$112K - $179K/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

$112K - $179K/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

$112K - $179K/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 Group plc

Senior ML Ops Engineer

Philadelphia, PA · On-site

$112K - $179K/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

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 ...

Deloitte

AI Engineer - SFL Scientific

Philadelphia, PA · On-site

Work You'll Do As an AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

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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 Jun 28, 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 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 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
Machine Learning Researcher - PhD: 2026

Machine Learning Researcher - PhD: 2026

Susquehanna International Group, LLP

Philadelphia, PA • On-site

Full-time

Posted 27 days ago

Job description

Overview
Susquehanna is expanding the Machine Learning group and seeking exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis, natural language understanding, and more. Your work will directly influence our trading strategies and decision-making processes.
This is a unique opportunity to work at the intersection of cutting-edge research and real-world impact, leveraging one of the highest-quality financial datasets in the industry.
We're looking for research scientists with a proven track record of applying deep learning to solve complex, high-impact problems. The ideal candidate will have a strong grasp of diverse machine learning techniques and a passion for experimenting with model architectures, feature engineering, and hyperparameter tuning to produce resilient and high-performing models.
What you'll do
  • Research and develop deep learning models to generate and enhance systematic trading signals and strategies across asset classes.
  • Collaborate closely with researchers, traders, and developers to improve alpha generation and identify new algorithmic trading strategies.
  • Design and conduct rigorous experiments using modern machine learning frameworks to improve predictive signals and overall trading performance.
  • Apply scientific methods to extract actionable signals from complex datasets, deepening the understanding of market behavior.
  • Translate research insights into production-ready models that can be implemented, tested, and validated in live trading environments.
  • Partner with engineering and trading teams to deploy, monitor, and iterate on models that drive trading decisions and execution outcomes.

What we're looking for
  • PhD in computer science, machine learning, mathematics, physics, statistics, or a related field
  • Strong track record of applying ML in academic or industry settings, with 5+ years of experience building impactful deep learning systems
  • A strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR
  • Strong programming skills in Python and/or C++
  • Practical knowledge of ML libraries and frameworks, such as PyTorch or TensorFlow, especially in production environments
  • Hands-on experience applying deep learning on time series data
  • Strong foundation in mathematics, statistics, and algorithm design
  • Excellent problem-solving skills with a creative, research-driven mindset
  • Demonstrated ability to work collaboratively in team-oriented environments
  • A passion for solving complex problems and a drive to innovate in a fast-paced, competitive environment

What we offer
  • Collaborate with a world-class team of researchers, engineers, and traders
  • Gain access to best-in-class financial data and high-performance computing resources
  • Directly impact real-time trading performance through your work
  • Thrive in a collaborative, intellectually rigorous environment with a global footprint

About Susquehanna
Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.
If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
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