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Hourly Embedded Machine Learning Jobs in Buffalo, NY

Moog, Inc.

Machinist III- 2nd Shift

Buffalo, NY · On-site

$32 - $37/hr

If you're motivated by meaningful work, continuous learning, and the opportunity to see your ... Buffalo, NY $32.00-$37.00 Hourly Salary Range Disclaimer The base salary range represents the low ...

Moog, Inc.

Machinist III - 3rd Shift

Buffalo, NY

$32 - $37/hr

If you're motivated by meaningful work, continuous learning, and the opportunity to see your ... Buffalo, NY $32.00-$37.00 Hourly Salary Range Disclaimer The base salary range represents the low ...

Moog, Inc.

Machinist III - 3rd Shift

Buffalo, NY · On-site

$32 - $37/hr

If you're motivated by meaningful work, continuous learning, and the opportunity to see your ... Buffalo, NY $32.00-$37.00 Hourly Salary Range Disclaimer The base salary range represents the low ...

Moog, Inc.

Machinist III- 2nd Shift

Buffalo, NY · On-site

$32 - $37/hr

If you're motivated by meaningful work, continuous learning, and the opportunity to see your ... Buffalo, NY $32.00-$37.00 Hourly Salary Range Disclaimer The base salary range represents the low ...

Moog, Inc.

Machinist III - 3rd Shift

Buffalo, NY · On-site

$32 - $37/hr

If you're motivated by meaningful work, continuous learning, and the opportunity to see your ... Buffalo, NY $32.00-$37.00 Hourly Salary Range Disclaimer The base salary range represents the low ...

Moog, Inc.

Machinist III- 2nd Shift

Buffalo, NY

$32 - $37/hr

If you're motivated by meaningful work, continuous learning, and the opportunity to see your ... Buffalo, NY $32.00-$37.00 Hourly Salary Range Disclaimer The base salary range represents the low ...

Moog

Lathe Machinist II - 2nd Shift

Buffalo, NY

$28 - $32/hr

If you're motivated by meaningful work, continuous learning, and the opportunity to see your ... Buffalo, NY $28.00-$32.00 Hourly Salary Range Disclaimer The base salary range represents the low ...

Moog

Machinist III- 2nd Shift

Buffalo, NY

$32 - $37/hr

If you're motivated by meaningful work, continuous learning, and the opportunity to see your ... Buffalo, NY $32.00-$37.00 Hourly Salary Range Disclaimer The base salary range represents the low ...

Moog, Inc.

Lathe Machinist II - 2nd Shift

Buffalo, NY · On-site

$28 - $32/hr

If you're motivated by meaningful work, continuous learning, and the opportunity to see your ... Buffalo, NY $28.00-$32.00 Hourly Salary Range Disclaimer The base salary range represents the low ...

Moog

Machinist III - 3rd Shift

Buffalo, NY

$32 - $37/hr

If you're motivated by meaningful work, continuous learning, and the opportunity to see your ... Buffalo, NY $32.00-$37.00 Hourly Salary Range Disclaimer The base salary range represents the low ...

Moog, Inc.

Mill Machinist III - 3rd Shift

Buffalo, NY · On-site

$32 - $37/hr

If you're motivated by meaningful work, continuous learning, and the opportunity to see your ... Buffalo, NY $32.00-$37.00 Hourly Salary Range Disclaimer The base salary range represents the low ...

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All JobsHourly Embedded Machine Learning JobsHourly Embedded Machine Learning Jobs in Buffalo, NY

Hourly Embedded Machine Learning information

See Buffalo, NY salary details

$67.8K

$148.6K

$168.5K

How much do hourly embedded machine learning jobs pay per year?

As of Aug 4, 2026, the average yearly pay for hourly embedded machine learning in Buffalo, NY is $148,577.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,400.00 and $167,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an hourly embedded machine learning engineer, and why are they important?

To thrive as an Hourly Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer engineering or a related field. Familiarity with tools such as TensorFlow Lite, embedded Linux, microcontroller development environments, and model optimization frameworks is typically required. Strong problem-solving skills, adaptability, and effective communication help you address complex technical challenges and collaborate with cross-functional teams. These skills are crucial for designing efficient, real-time ML solutions that operate reliably on resource-constrained embedded devices.

How does an hourly embedded machine learning professional typically collaborate with hardware and software teams during a project?

As an Hourly Embedded Machine Learning professional, you will often work closely with both hardware and software engineering teams to ensure that machine learning models are efficiently integrated into embedded systems. This typically involves frequent communication to align on hardware constraints, such as memory and processing power, and to optimize algorithms for real-time performance. You may also participate in joint debugging sessions and code reviews to address integration issues and streamline deployment. Collaboration is key, as successful projects depend on the seamless interaction between machine learning solutions and the embedded hardware platform.

What is an hourly embedded machine learning engineer?

An Hourly Embedded Machine Learning engineer is a professional who specializes in developing and deploying machine learning models on embedded systems, such as microcontrollers, IoT devices, or edge devices, and is compensated on an hourly basis rather than a salaried or project-based arrangement. These engineers work to optimize algorithms so they can run efficiently on devices with limited computing power, memory, and energy resources. Their responsibilities often include model selection, quantization, optimization, and integration of machine learning pipelines into hardware. Hiring on an hourly basis allows for flexibility in project scope and duration, making it ideal for companies with specific, time-limited needs. They often collaborate with hardware engineers, data scientists, and software developers to create intelligent embedded solutions.

What is the difference between Hourly Embedded Machine Learning vs Hourly Data Scientist?

AspectHourly Embedded Machine LearningHourly Data Scientist
CredentialsKnowledge of embedded systems, programming, ML algorithmsDegree in Data Science, Statistics, or related field
Work EnvironmentEmbedded hardware, IoT devices, real-time systemsData analysis, modeling, visualization in office or cloud
Industry UsageConsumer electronics, automotive, IoT devicesFinance, healthcare, marketing, research

Hourly Embedded Machine Learning specialists focus on integrating ML models into embedded systems and hardware, often working with IoT devices and real-time constraints. In contrast, Hourly Data Scientists analyze large datasets to develop predictive models primarily in cloud or office environments. While both roles require programming skills, embedded ML emphasizes hardware integration, whereas data science centers on data analysis and visualization.

What are popular job titles related to Hourly Embedded Machine Learning jobs in Buffalo, NY? For Hourly Embedded Machine Learning jobs in Buffalo, NY, the most frequently searched job titles are:
What job categories do people searching Hourly Embedded Machine Learning jobs in Buffalo, NY look for? The top searched job categories for Hourly Embedded Machine Learning jobs in Buffalo, NY are:
What cities near Buffalo, NY are hiring for Hourly Embedded Machine Learning jobs? Cities near Buffalo, NY with the most Hourly Embedded Machine Learning job openings:
Hourly Embedded Machine Learning jobs near you
Infographic showing various Hourly Embedded Machine Learning job openings in Buffalo, NY as of July 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $148,577 per year, or $71.4 per hour.

Machine Learning Intern/Co-op (Fall 2026)

PathAI

Boston, NY • On-site, Remote

Internship

Re-posted 28 days ago

Job description

Who We Are
PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning and artificial intelligence. We have a track record of success in deploying AI algorithms for histopathology in translational research, pathology labs and clinical trials. Rigorous science and careful analysis is critical to the success of everything we do. Our team, composed of diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact on patient outcomes.
Where You Fit
Our Intern/Co-op program is designed to give you a real-world view of what it's like to be a Machine Learning Engineer at PathAI. You will be embedded directly into our AI product and ML Core teams, working on active projects that have a direct impact on our technical roadmap and business goals.
You will collaborate with a cross-functional team of scientists, engineers, and product managers to translate clinical needs into scalable ML solutions. This is your chance to contribute to meaningful work that directly relates to patient outcomes.
Timeline: This opportunity is for Fall 2026. We are looking for interns/co-ops who can commit to 3-6 months at PathAI (4-6 months preferred).
Location: We have offices in Boston, MA and New York, NY and would prefer interns/co-ops who can work from one of those locations-however, we will also consider remote candidates (US based only).
What You'll Do
  • Contribute to the design, development, and evaluation of machine learning models for our AI products, AI services and core ML models.
  • Work on subprojects derived from our ongoing ML product roadmap, focusing on areas like model improvements with novel techniques.
  • Partner with our MLOps and platform teams to help build and improve our ML pipelines.
  • Participate in experimental design, analysis, and team knowledge-sharing initiatives like design reviews, technical forums and journal clubs.
What You Bring
  • Currently pursuing a M.S., or Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering with a focus on Computer Vision and Machine Learning.
  • Strong programming skills in Python and hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow).
  • A solid grasp of the fundamentals of machine learning and/or computer vision.
  • Excellent communication skills and a desire to work in a highly collaborative, cross-functional environment.
  • A passion for our mission to improve patient outcomes.
  • [Nice-to-have] Any high impact contributions through any AI/ML publications, open-source projects and any AI based products.

We are looking for team players who are passionate about what they do and are willing to tackle any task to contribute to our goals. You could be exactly who we are looking for!
We Want To Hear From You
At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.
PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications - that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.

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