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Machine Learning Engineer Quantization Jobs in Philadelphia, PA

AKUVO LLC

Senior Data & Machine Learning Engineer

Malvern, PA · On-site

$112K - $134K/yr

THE OPPORTUNITY AKUVO is seeking a hands-on Senior Data & Machine Learning Engineer to build and own the production lifecycle of our proprietary predictive models and scores. This is a depth role ...

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All JobsMachine Learning Engineer Quantization JobsMachine Learning Engineer Quantization Jobs in Philadelphia, PA

Machine Learning Engineer Quantization information

See Philadelphia, PA salary details

$31.8K

$129.9K

$195.3K

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

As of Jul 24, 2026, the average yearly pay for machine learning engineer quantization in Philadelphia, PA is $129,939.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,400.00 and $156,400.00 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 Philadelphia, PA? For Machine Learning Engineer Quantization jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Quantization jobs in Philadelphia, PA look for? The top searched job categories for Machine Learning Engineer Quantization jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Machine Learning Engineer Quantization jobs? Cities near Philadelphia, PA with the most Machine Learning Engineer Quantization job openings:
Machine Learning Engineer Quantization jobs near you
Infographic showing various Machine Learning Engineer Quantization job openings in Philadelphia, PA as of July 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $129,939 per year, or $62.5 per hour.
Principal Machine Learning Engineer

Principal Machine Learning Engineer

Beacon Hill

Philadelphia, PA • On-site

Other

Medical, Dental, Vision

Posted yesterday

Job description


Location: Hybrid Philadelphia, PA (2 days on site required)



Our client is seeking a hands-on Principal Machine Learning Engineer to lead the design, development, and deployment of predictive models. This is a highly technical role focused on building and improving scoring models, decision-support systems, and machine learning solutions that drive business outcomes.


The ideal candidate is an experienced machine learning practitioner who enjoys working directly with data, feature engineering, model development, validation, production scoring, and continuous model improvement. In addition to hands-on technical contributions, this individual will provide leadership to a small team, mentor engineers, and help shape technical direction across ML initiatives.


This is a hands-on role, with approximately 70% focused on model development and technical execution and 30% dedicated to stakeholder collaboration, team leadership, and production support.



Required



  • 5+ years of experience in machine learning, data science, predictive analytics, or related fields.

  • Prior experience managing or leading technical teams; people management experience is required.

  • Strong hands-on expertise with Python and SQL.

  • Experience building and deploying predictive models into production environments.

  • Deep understanding of feature engineering, model training, validation techniques, model calibration, threshold optimization, and performance monitoring.

  • Experience developing decision-support systems, predictive scoring models, scorecards, or recommendation/prioritization solutions.

  • Experience working with large-scale datasets and modern machine learning frameworks.

  • Strong understanding of model deployment, production workflows, and MLOps concepts.

  • Ability to balance hands-on technical work with leadership responsibilities.

  • Excellent communication and stakeholder management skills.




Beacon Hill is an equal opportunity employer and individuals with disabilities and/or protected veterans are encouraged to apply.


California residents: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.


If you would like to complete our voluntary self-identification form, please or copy and paste the following link into an open window in your browser: ;/p>

Completion of this form is voluntary and will not affect your opportunity for employment, or the terms or conditions of your employment. This form will be used for reporting purposes only and will be kept separate from all other records.


Company Profile:
Beacon Hill Technologies, a premier National Information Technology Staffing Group, provides world class technology talent across all industries utilizing a complete suite of staffing services. Beacon Hill Technologies' dedicated team of recruiting and staffing experts consistently delivers quality IT professionals to solve our customers' technical and business needs.
Beacon Hill Technologies covers a broad spectrum of IT positions, including Project Management and Business Analysis, Programming/Development, Database, Infrastructure, Quality Assurance, Production/Support and ERP roles.


Learn more about Beacon Hill and our specialty divisions, Beacon Hill Associates, Beacon Hill Financial, Beacon Hill HR, Beacon Hill Legal, Beacon Hill Life Sciences and Beacon Hill Technologies by visiting .


Benefits Information:


Beacon Hill offers a robust benefit package including, but not limited to, medical, dental, vision, and federal and state leave programs as required by applicable agency regulations to those that meet eligibility. Upon successfully being hired, details will be provided related to our benefit offerings.



We look forward to working with you.
Beacon Hill. Employing the Future

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