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Machine Learning Engineer Quantization Jobs in Parkville, MD

Senior Software Engineer

Columbia, MD ยท On-site

$190K - $240K/yr

This position is ideal for an engineer who enjoys combining data science, machine learning, and software engineering to create mission impact. Responsibilities: * Design and develop AI-enabled ...

Position Overview The Software Engineer will develop, enhance, and prototype compliance and ... Experience building and monitoring Machine Learning models * Experience developing in a Linux ...

Markon is seeking an AI/ML Engineer 2 to support the Fort Meade Customer through the design ... This role applies machine learning techniques, deep learning models, and data science methodologies ...

AI/ML Engineer Level 2

Fort George G Meade, MD ยท On-site

$190K - $205K/yr

Description Markon is seeking an AI/ML Engineer 2 to support the Fort Meade Customer through the ... This role applies machine learning techniques, deep learning models, and data science methodologies ...

AI/ML Engineer Level 2

Fort George G Meade, MD ยท On-site

$190K - $205K/yr

Description Markon is seeking an AI/ML Engineer 2 to support the Fort Meade Customer through the ... This role applies machine learning techniques, deep learning models, and data science methodologies ...

AI Solutions Engineering Delivery Lead

Baltimore, MD ยท On-site

$101K - $134K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Showing results 41-60

Machine Learning Engineer Quantization information

See Parkville, MD salary details

$29.9K

$122.1K

$183.5K

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

As of Aug 23, 2026, the average yearly pay for machine learning engineer quantization in Parkville, MD is $122,130.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,300.00 and $147,000.00 per year, depending on experience, location, and employer.

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 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 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 Parkville, MD are hiring for Machine Learning Engineer Quantization jobs?

Cities near Parkville, MD with the most Machine Learning Engineer Quantization job openings:

Principal Engineering AI Solution Architect

Sbdinc

Towson, MD โ€ข Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago


Job description

Engineering AI Solution Architect - Hybrid

This is a Hybrid position based in Towson, MD and requires onsite work in Towson three days a week.

Towson, MD, United States

Come build something that matters.

It takes great people to achieve greatness. People with a sense of purpose and integrity. People with a relentless pursuit of excellence. People who care about making things better For Those Who MakeTheWorld.Soundlikeyou?Join our top-notch team of approximately 43,500 diverse and high-performing professionals globally who are making their mark on some of the world's most beloved brands, including DEWALT, BLACK+DECKER, CRAFTSMAN, STANLEY, CUB CADET, and HUSTLER.

The Role

Stanley Black & Decker (NYSE: SWK) is seeking a Principal Engineering AI Solution Architect. In this pivotal role, you will serve as a strategic individual contributor, responsible for shaping the vision, development, and implementation of AI initiatives across the engineering organization. This position demands thought leadership in AI, with a focus onleveragingadvanced technologies to drive transformative change within our engineering teams.

As aEngineering AI Solution Architect,you'llbe part of ourTools & Outdoor teamworking as a hybrid employee.You'llget to:

The Job:

  • Architect AI-driven solutions for complex engineering problems, ensuring scalability, reliability, and security.

  • Collaborate with cross-functional teams (engineering, product management, data science, and IT) to define solution requirements and technical specifications.

  • Coordinate and overseethe end-to-end implementation of AI projects, from ideation and prototyping to deployment and monitoring.

  • Evaluate and selectappropriate AItechnologies, frameworks, and tools based on project needs.

  • Guide and mentor engineering teams on AI/ML model integration, data pipelines, and cloud deployment strategies.

  • Develop andmaintainAI roadmaps for engineering.

  • Ensure compliance with data privacy, security, and regulatory requirements in all AI solutions.

  • Stay updated with the latest AI trends, research, and technologies to drive innovation within the organization.

  • Participate in client meetings, presentations, and technical workshops as a subject matter expert.

The Person:

You love to learn and grow and be acknowledged for your valuable contributions.You'renot intimidated by innovation. Wouldn't it be great if you could do your job and do a world of good? In fact, you embrace it. You also have:

  • Bachelor's orMaster's degree in Computer Science, Engineering, Data Science, ora relatedfield.

  • 10+ years of experience with integrated HW-SW product development, with5+years focused on AI/ML projectswith engineering design applications.

  • Proventrack recordapplying AI/ML methods to drive transformational change in engineering.

  • Proventrack recordof designing and deploying AI/ML solutions in production environments.

  • Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).

  • Strong understanding of machine learning algorithms, data engineering, andMLOpspractices.

Skills

  • Proficiencyin programming languages such as Python, Java, or C++.

  • Expertisein AI/ML frameworks (e.g., TensorFlow,PyTorch, Scikit-learn).

  • Excellent problem-solving and analytical skills.

  • Strong communicationand presentation skills, with the ability to explain complex technical concepts to non-technical stakeholders.

  • Experience with data modeling, ETL pipelines, and API design.

  • Knowledge of DevOps practices and CI/CD pipelines.

  • Ability to work independently and as part of a collaborative team.

Preferred Qualifications

  • Certifications in cloud architecture or AI/ML (e.g., AWS Certified Machine Learning, Google Professional Machine Learning Engineer).

  • Experience in industries such as manufacturing, automotive, or healthcare.

  • Familiarity with edge computing and IoT integration.

The Details:

You'llreceive a competitive salary and a great benefits plan, including:

  • Medical, dental, life, vision, disability, 401(k), Employee Stock Purchase Plan, paid time off, and tuition reimbursementin addition to programs & benefits in support of your well-being.
  • Discounts on Stanley Black & Decker tools and other partner programs.

And More:

We want our company to bea placeyou'llwant to be - and stay. Being part of our team meansyou'llget to:

  • Grow:Be part of our global company with 20+ brands to grow and develop your skills along multiple career paths.
  • Learn:Have access to a wealth of learning resources, including our digital learning portal.
  • Belong:Experience an awesome place to work, where we have mutual respect anda greatappreciation for a wide range of perspectives and experiences.
  • Give Back:Help us continue to make positive changes locally and globally through volunteerism, giving back, and sustainable business practices.

What'smore,you'llget that pride that comes from empowering makers, doers, protectors, and everyday heroes all over the world.We'remore than the #1 tools company. More than a driving force in outdoor power equipment. More than a global leader inindustrial.We'revisionaries and innovators. As successful aswe'vebeen in the past, we have so much further to go.That'swhere you come in. Join us!

#LI-Hybrid
#LI-MB1

The Salary range for this position is $110,600.00 - $178,000.00
  • This is the lowest to highest annual full-time salary range we would pay for this role at the time of this posting. The salary offered within the range may vary depending on multiple factors including job level, geographic location, job-related knowledge, skills, qualifications, experience and in compliance with local wage requirements. Please note that salary is only one component of total rewards at Stanley Black & Decker.

  • The salary range listed in this job posting reflects the range for the primary location specified. The salary range may vary for other locations.

  • The successful candidate may be eligible for annual merit increases.

  • Medical, dental, life, vision, disability,401(k), Employee Stock Purchase Plan, paid time off, and tuition reimbursement in addition to programs & benefits in support of your well-being.

  • Discounts on Stanley Black & Decker tool sand other partner programs.

We Don't Just Build The World, We Build Innovative Technology Too.

Joining the Stanley Black & Decker team means working in an innovative, tech-driven and highly collaborative team environment supported by over 43,500 professionals in 60 countries across the globe. Here, you'll get the unique chance to impact some of the world's most iconic brands including STANLEY TOOLS, DEWALT, CRAFTSMAN, MAC TOOLS and Black + Decker. Your ideas and solutions have the potential to reach millions of customers as we work together to write the next chapter in our history. Come build with us and take your career to new heights.

Who We Are

We're the World's largest tool company. We're industry visionaries. We're solving problems and advancing the manufacturing trade through innovative technology and our Industry 4.0 Initiative. We are committed to ensuring our state-of-the-art "smart factory" products and services provide greater quality to our customers & greater environmental and social value to our planet. We are unique in that we have a rich and storied history dating back to 1843, but that hasn't stopped us from evolving into a vibrant, diverse, global growth company.

What You'll Also Get

Career Opportunity: Career paths aren't linear here. Being part of our global company with 60+ brands gives you the chance to grow and develop your skills along multiple career paths.

Benefits & Perks

You'll get a competitive salary and a comprehensive benefits plan that includes medical, dental, life, vision, wellness program, disability, retirement benefits, Employee Stock Purchase Plan, Paid Time Off, including paid vacation, holidays & personal days, and tuition reimbursement. And, of course, discounts on Stanley Black & Decker tools and products and well as discount programs for many other vendors and partners.

Learning & Development:
Our lifelong learning philosophy means you'll have access to a wealth of state-of-the-art learning resources, including our Lean Academy and online university (where you can get certificates and specializations from renowned colleges and universities).

Diverse & Inclusive Culture:
We pride ourselves on being an awesome place to work. We respect and embrace differences because that's how the best work gets done. You'll find we like to have fun here, too.

Purpose-Driven Company:
You'll help us continue to make positive changes in the local communities where we work and live as well as in the broader world through volunteerism, giving back and sustainable business practices.

EEO Statement:
All qualified applicants to Stanley Black & Decker are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran's status or any other protected characteristic.

If you require reasonable accommodation to complete an application or access our website, please contact us at (860) 827-3923 or at accommodations@sbdinc.com. Due to volume, we cannot respond to unrelated inquiries about the status of a completed application or resetting an account password.

Know Your Rights: Workplace discrimination is illegal (eeoc.gov)