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Machine Learning Engineer Quantization Jobs in Pennsylvania

LHi Group Ltd

Machine Learning Engineer

Calumet, PA · On-site

Machine Learning Engineer Remote (US, Canada & Europe) We're partnering with one of the world's fastest-growing gaming technology companies, building machine learning systems that power some of the ...

Apple

Machine Learning Engineer

Pittsburgh, PA · On-site

As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you'll have the opportunity to be part of a leading ML innovation organization that develops a wide range of ...

LHi Group Ltd

Staff Machine Learning Engineer

Calumet, PA · On-site

$280K/yr

* Staff Applied Machine Learning Engineer * Remote (must be based in USA) * Work Authorization: ship or required due to government contract requirements * $230-280,000 base + Equity + Benefits About ...

BE Group

Senior Machine Learning Engineer

Malvern, PA · On-site

$120K - $158K/yr

We are assisting our client in hiring for a Senior Machine Learning Engineer. Our client is an established SaaS company serving banks, credit unions, and fintechs. Their cloud-based platform helps ...

Vanguard Group

Senior Machine Learning Engineer

Malvern, PA · On-site

$102K - $140K/yr

Design, build, and maintain end-to-end machine learning pipelines from research through production deployment. * Engineer scalable training, inference, and retraining workflows using AWS SageMaker.

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Machine Learning Engineer Quantization information

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.

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What job categories do people searching Machine Learning Engineer Quantization jobs in Pennsylvania look for?

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What cities in Pennsylvania are hiring for Machine Learning Engineer Quantization jobs?

Cities in Pennsylvania 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 Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Machine Learning Engineer

LHi Group Ltd

Calumet, PA • On-site

Other

Medical, Dental, Vision, Retirement

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Machine Learning Engineer
Remote (US, Canada & Europe)
We're partnering with one of the world's fastest-growing gaming technology companies, building machine learning systems that power some of the largest live gaming experiences anywhere.
This is an opportunity to join a highly entrepreneurial engineering team where you'll become the Machine Learning expert, developing production ML systems that drive business decisions, optimize player experiences, and influence games enjoyed by millions of users every month.
Rather than working on isolated proof-of-concepts, you'll own models from concept through deployment, helping shape the future of Machine Learning within a rapidly scaling technology business.
The Opportunity
As the company's dedicated Machine Learning Engineer, you'll work closely with engineering leadership to build scalable predictive models and production ML infrastructure that supports analytics, forecasting, and business intelligence across the organization.
You'll have significant ownership from day one, with the opportunity to grow into a technical leadership position as the ML function expands.
What You'll Be Doing
  • Design, build and deploy production Machine Learning models
  • Develop predictive models around player behaviour, engagement and game performance
  • Own the full ML lifecycle, including feature engineering, training, tuning, deployment and retraining
  • Build scalable ML pipelines using Python and AWS
  • Work closely with engineers to improve existing ML infrastructure
  • Research and evaluate new modelling approaches to improve prediction accuracy
  • Help shape the long-term Machine Learning strategy for the business

We're Looking For
  • 3+ years building and deploying production Machine Learning models
  • Strong Python experience
  • Experience with supervised learning models
  • Hands-on experience with XGBoost and/or LightGBM
  • Strong SQL and statistical analysis skills
  • Experience deploying ML workloads in AWS
  • Docker and containerized development experience
  • Ability to operate independently in a fast-moving engineering environment

Nice to Have
  • Gaming or consumer analytics experience
  • ClickHouse or other OLAP databases
  • TypeScript
  • Optuna or other hyperparameter optimization frameworks
  • Experience working with large-scale behavioural or product datasets

Why Join?
  • Join one of the fastest-growing technology businesses in gaming
  • Become the company's Machine Learning subject matter expert
  • Work on products used by millions of players worldwide
  • High ownership and direct impact on business decisions
  • Fully remote working
  • Clear pathway into future technical leadership
  • Competitive compensation package

If you're passionate about applying Machine Learning at scale and want to build systems that influence products used by millions of users, I'd love to hear from you.
Featured Benefits
Medical Insurance
Vision Insurance
Dental Insurance
401(k)

Apply