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Machine Learning Engineer Quantization Jobs in West Henrietta, NY

Senior FPGA Engineer

Rochester, NY ยท On-site

$128K - $164K/yr

Mixed signal requirements including quantization bits, dynamic range (SFDR), power consumption and ... We offer competitive compensation, benefits and learning and development opportunities. Our broad ...

What your day-to-day as a Cryogenic Engineer at Fermilab will look like: * Operating Helium ... Knowledge of Artificial Intelligence and Machine Learning tools, preferred Physical Activity and ...

Data Science Tutor

Rochester, NY ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Senior Agentic AI Engineer

Rochester, NY ยท On-site

$103K - $141K/yr

AI & MACHINE LEARNING PLATFORMS * Large language model (LLM) platforms: OpenAI / Azure OpenAI ... SOFTWARE ENGINEERING & DEVOPS * Source control and collaboration: Git, GitHub, or GitLab, including ...

Senior Agentic AI Engineer

Rochester, NY ยท On-site

$103K - $141K/yr

AI & MACHINE LEARNING PLATFORMS * Large language model (LLM) platforms: OpenAI / Azure OpenAI ... SOFTWARE ENGINEERING & DEVOPS * Source control and collaboration: Git, GitHub, or GitLab, including ...

Team Environment and Fit Our software engineering team is small, and engineers in this role are ... machine-learning-based approaches * Database design and querying, including SQL schema design ...

Carrier Voice Engineer

Victor, NY ยท On-site

$75K - $95K/yr

We are seeking an experienced Carrier Voice Engineer to secure, support, and optimize carrier-grade ... Apply AI, machine learning, automation, and advanced analytics to improve fraud detection, threat ...

Showing results 41-60

Machine Learning Engineer Quantization information

See West Henrietta, NY salary details

$30.2K

$123.5K

$185.7K

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

As of Aug 13, 2026, the average yearly pay for machine learning engineer quantization in West Henrietta, NY is $123,546.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,400.00 and $148,700.00 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 job categories do people searching Machine Learning Engineer Quantization jobs in West Henrietta, NY look for? The top searched job categories for Machine Learning Engineer Quantization jobs in West Henrietta, NY are:
What cities near West Henrietta, NY are hiring for Machine Learning Engineer Quantization jobs? Cities near West Henrietta, NY with the most Machine Learning Engineer Quantization job openings:

Principal Reliability Engineer

MKS Instruments, Inc.

Rochester, NY โ€ข On-site

$109K - $182K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago


Job description

A Day in Your Life at MKS:

MKS is committed to being the highest quality and reliability provider of advanced RF and DC power generators enabling capabilities for advanced plasma processing used at Scientific & Industrial customers. As part of the mission, the Principal Reliability Engineer will be responsible for supporting Power Solutions reliability and test programs including product development, design for reliability, design for manufacturability, as well as advanced reliability testing. This position will include the improvement and/or development of new design processes which enhance reliability and will also interface internally with the design engineering/manufacturing groups and externally with the customer on key reliability programs and issues.

You Make an Impact By:

  • Develop and implement reliability plans including design, validation, qualification and assessment methods to support successful new Power Solutions product introductions

  • Provide technical support throughout the product life cycle on-going sustaining activities

  • Interface with design engineering and marketing organizations to establish internal reliability testing conditions representative of customer applications

  • Perform various DfR techniques: lead the product qualification-testing, including functional testing, reliability and durability testing (HALT, HASS, ALT, etc.), in addition to ownership of reliability test equipment (reliability labs), reliability predictions (modeled and field - MTBF), reliability allocation, Design FME(C)A, Weibull Analysis, warranty collation and reporting to achieve company and customer reliability objectives

  • Support and drive Power Solutions reliability improvement activities including best practice adoption, custom hardware development, and tool automation

  • Perform root cause analysis for failures that occurred in reliability testing and/or in the field

  • Participate in cross functional team efforts during product design reviews focused on reliability concerns, critical components, and potential wear out failure modes

  • Generate reliability analysis reports for internal and external customers according to industry standards and best practices

  • Collaborate with peer engineering experts in other MKS business units

  • Identify improved instrumentation (e.g., data collection) supporting the reliability assessment of subassemblies and components, quantifying characteristics critical to overall system reliability

Skills You Bring:

  • B.S. (M.S. is a plus), Electrical Engineering, Semiconductor Material sciences or related field

  • ASQ CRE preferred

  • 8+ years reliability engineering experience in electronic systems and/or component failure analysis

  • Experienced in thermal measurement and device characterization techniques

  • Can interpret results from failure analysis tools including: X-ray, Acoustic Microscopy, Material Cross Sectional analysis, SEM/EDX, Emission Microscopy, etc.

  • Understands PCBA and electronic component failure mechanisms and physics of failure

  • Experienced in Design for Reliability techniques, approaches and methods

  • Experienced in applying reliability modeling techniques and tools to identify potential wear out modes (e.g., Telcordia Prediction, Weibull)

  • Experienced in HALT testing approaches, HASS profile design and ALT test methods

  • Experienced in data collection techniques and statistical analysis; experience in applied machine learning is a plus

  • Excellent communication skills. Can communicate work plans, schedules, resource needs as well present analysis and results, and drive key decisions to cross functional audiences

  • Potential travel time (5%)

Physical Demands & Working Conditions:

  • Perform activities such as sitting, standing, or typing for extended periods of time

  • Must be able to lift up to 50 lbs.

  • Regularly requires good manual dexterity and coordination

  • Occasionally moves/positions objects up to 50 lbs.

  • Frequently positions self to perform tasks and positions objects below, at, and above shoulder level

  • Regularly requires manual dexterity and coordination of objects below, at and above shoulder level

  • Must be able to communicate information and ideas so others will understand

  • Must be able to exchange accurate information

  • Operates in a professional office, laboratory and manufacturing environment

  • Constantly operates a computer and other office productivity machinery

  • Ability to observe documents and details at close range (within a few feet of the observer)

  • Dedication to safety to mitigate hazards including handling mechanical and electrical hardware, high voltage, gas, water, and heat

  • Noise level in the work environment is usually average

Compensation and Benefits:
Salary Pay Range:$109,750 - $182,900.00per year. This range is a good faith estimate of the expected salary range for this position, based on a wide range of factors including qualifications, experience and training, operational and business needs and other considerations permitted by law.At MKS, it is not typical for an individual to be hired at or near the top of the range for the role.

Bonus: This position is eligible for a discretionary annual bonus, in an amount to be determined by MKS [or as applicable].

Benefits: MKS offers a comprehensive benefits package, including health insurance coverage (medical, dental and vision), 401(k) with company match, life and disability insurance, 12 paid holidays, sick time, 15 paid vacation days, [6 weeks fully paid] parental leave, adoption assistance and tuition reimbursement [and for participation in any stock programs, signing bonus, etc.].

We are interested in a qualified candidate who is eligible to work in the United States. However, we will not be sponsoring work visas for this position, at this time.

MKS is an equal opportunity employer, including disability, veteran status and all categories protected by law. Please review our EOE statements for additional details. MKS is generally only hiring candidates who reside in states where we are registered to do business.

#LI-RS1

Globally, our policy is to recruit individuals from wide and diverse backgrounds. However, certain positions require access to controlled goods and technologies subject to the International Traffic in Arms Regulations (ITAR) or Export Administration Regulations (EAR). Applicants for these positions may need to be "U.S. persons." "U.S. persons" are generally defined as U.S. citizens, noncitizen nationals, lawful permanent residents (or, green card holders), individuals granted asylum, and individuals admitted as refugees.

MKS Inc. and its affiliates and subsidiaries ("MKS") is an affirmative action and equal opportunity employer: diverse candidates are encouraged to apply. We win as a team and are committed to recruiting and hiring qualified applicants regardless of race, color, national origin, sex (including pregnancy and pregnancy-related conditions), religion, age, ancestry, physical or mental disability or handicap, marital status, membership in the uniformed services, veteran status, sexual orientation, gender identity or expression, genetic information, or any other category protected by applicable law. Hiring decisions are based on merit, qualifications and business needs. We conduct background checks and drug screens, in accordance with applicable law and company policies. MKS is generally only hiring candidates who reside in states where we are registered to do business.

MKS is committed to working with and providing reasonable accommodations to qualified individuals with disabilities. If you need a reasonable accommodation during the application or interview process due to a disability, please contact us at:accommodationsatMKS@mksinst.com.

If applying for a specific job, please include the requisition number (ex: RXXXX), the title and location of the role