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Hourly Embedded Machine Learning Jobs in Buffalo, NY

acv

Embedded Systems Engineer IV, R&D

Austin, TX · On-site

As an Engineer IV, Embedded Systems within the R&D team, you will serve as a technical anchor for ... Experience deploying or optimizing machine learning models at the edge. #LI-AM3

acv

Embedded Systems Engineer IV, R&D

Buffalo, NY · On-site

As an Engineer IV, Embedded Systems within the R&D team, you will serve as a technical anchor for ... Experience deploying or optimizing machine learning models at the edge. #LI-AM3

University at Buffalo

Postdoctoral Associate

Buffalo, NY · On-site

$60K/yr

... Develop embedded control systems and software for robotic devices and supporting hardware. • ... machine learning methods for research applications. • Proficiency in programming languages ...

Moog, Inc.

Machinist IV -2nd Shift

Buffalo, NY · On-site

$37 - $41/hr

If you're motivated by meaningful work, continuous learning, and the opportunity to see your ... Buffalo, NY $37.00-$41.00 Hourly Salary Range Disclaimer The base salary range represents the low ...

Moog, Inc.

Machinist IV - 3rd Shift

Buffalo, NY · On-site

$37 - $41/hr

If you're motivated by meaningful work, continuous learning, and the opportunity to see your ... Buffalo, NY $37.00-$41.00 Hourly Salary Range Disclaimer The base salary range represents the low ...

Moog, Inc.

Machinist IV - 3rd Shift

Buffalo, NY · On-site

$37 - $41/hr

If you're motivated by meaningful work, continuous learning, and the opportunity to see your ... Buffalo, NY $37.00-$41.00 Hourly Salary Range Disclaimer The base salary range represents the low ...

Moog

Machinist IV -2nd Shift

Buffalo, NY · On-site

$37 - $41/hr

If you're motivated by meaningful work, continuous learning, and the opportunity to see your ... Buffalo, NY $37.00-$41.00 Hourly Salary Range Disclaimer The base salary range represents the low ...

Moog, Inc.

Machinist IV -2nd Shift

Buffalo, NY · On-site

$37 - $41/hr

If you're motivated by meaningful work, continuous learning, and the opportunity to see your ... Buffalo, NY $37.00-$41.00 Hourly Salary Range Disclaimer The base salary range represents the low ...

Moog

Machinist IV - 3rd Shift

Buffalo, NY · On-site

$37 - $41/hr

If you're motivated by meaningful work, continuous learning, and the opportunity to see your ... Buffalo, NY $37.00-$41.00 Hourly Salary Range Disclaimer The base salary range represents the low ...

Moog, Inc.

Machinist IV - 3rd Shift

Buffalo, NY · On-site

$37 - $41/hr

If you're motivated by meaningful work, continuous learning, and the opportunity to see your ... Buffalo, NY $37.00-$41.00 Hourly Salary Range Disclaimer The base salary range represents the low ...

Moog, Inc.

Machinist IV -2nd Shift

Buffalo, NY · On-site

$37 - $41/hr

If you're motivated by meaningful work, continuous learning, and the opportunity to see your ... Buffalo, NY $37.00-$41.00 Hourly Salary Range Disclaimer The base salary range represents the low ...

Moog, Inc.

Machinist I - 2nd Shift

Buffalo, NY · On-site

$22 - $27/hr

If you're motivated by meaningful work, continuous learning, and the opportunity to see your ... Buffalo, NY $22.00-$27.00 Hourly Salary Range Disclaimer The base salary range represents the low ...

Moog

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 ...

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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 26, 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 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.

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 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.

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 August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $148,577 per year, or $71.4 per hour.

Embedded Systems Engineer IV, R&D

Austin, TX • On-site

acv
51 - 200 employees
Learn more about acvexternal

Full-time

Re-posted 21 days ago

Job description

Who we are looking for:

As an Engineer IV, Embedded Systems within the R&D team, you will serve as a technical anchor for our next-generation hardware platforms. You will design, develop, and optimize high-performance software running on a variety of embedded systems—ranging from single-board computers and edge AI compute modules to custom ARM architecture.

This role requires a unique blend of scrappy, proof-of-concept rapid prototyping and disciplined, production-grade software engineering. You will own the software lifecycle for new devices, ensuring seamless integration between low-level hardware, sensors, edge computing frameworks, and our enterprise cloud infrastructure.

What you will do:

  • End-to-End Development: Architect, implement, and maintain embedded software from initial conceptual prototypes to ruggedized, scalable, enterprise-level production code.
  • Platform Ownership: Develop and optimize firmware and middleware on platforms including Raspberry Pi, NVIDIA Jetson, and ARM-based System-on-Modules (SOMs).
  • Sensor & Peripheral Integration: Write and debug low-level drivers and interfaces for a diverse ecosystem of peripherals, cameras, and environmental sensors via protocols such as I2C, SPI, UART, USB, and PCIe.
  • Edge Intelligence & Compute: Optimize software on compute-constrained edge devices, including leveraging hardware acceleration (e.g., CUDA, TensorRT on Jetson platforms) for real-time data processing and computer vision pipelines.
  • System Stability & Lifecycle: Design robust fault-detection, automated recovery mechanisms, and secure over-the-air (OTA) firmware update systems to ensure maximum field stability.
  • Cross-Functional Collaboration: Partner closely with hardware/electrical engineers, mechanical designers, and cloud backend teams to define system architectures and interfaces.
  • Mentorship & Standards: Drive code quality through rigorous code reviews, automated testing, and comprehensive documentation. Mentor junior and mid-level engineers on the team.
  • Perform additional duties as assigned.

What you will need:

  • Ability to read, write, speak and understand English.
  • BS degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field (or equivalent practical experience).
  • 6+ years’ Professional experience in embedded software development, with a proven track record of shipping commercial or industrial hardware products
  • Expert-level proficiency in C and C++; strong scripting skills in Python or Bash for testing and automation.
  • OS Expertise: Deep experience developing within Embedded Linux environments (including kernel configuration, device tree modification, and custom driver development).
  • Hands-on experience building applications on Raspberry Pi (Linux/Debian) and NVIDIA Jetson (JetPack ecosystem).
  • Solid understanding of hardware communication protocols: SPI, I2C, UART, CAN bus, USB.
  • Experience interfacing with high-resolution image sensors, cameras, or specialized sensors.
  • Proficiency with modern software engineering tools: Git, CMake, Docker, and CI/CD pipelines tailored for embedded targets.
  • Familiarity with networking stacks and IoT communication protocols (TCP/IP, UDP, MQTT, gRPC).
  • Comfortable utilizing lab equipment like oscilloscopes, logic analyzers, and multimeters to debug hardware/software boundary issues.
  • Expert in version control systems including trunk-based development, multiple release planning, cherry picking, and rebase.

Nice to Have Technical Competencies

  • Experience with custom Linux distribution builders like Yocto Project or Buildroot.
  • Familiarity with real-time operating systems (RTOS) or bare-metal ARM development.
  • Experience deploying or optimizing machine learning models at the edge.

#LI-AM3

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