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Hourly Embedded Machine Learning Jobs in Hempstead, NY

Ramp

Senior Applied Scientist, Credit Risk

New York, NY · On-site

$165K - $228K/yr

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction ... You'll work at the intersection of machine learning, statistics, economics, and product strategy.

New York University

Post Doctoral Associate

New York, NY · On-site

$60K - $80K/yr

... machine learning, Computer vision, Swarms, Autonomous Robots, hardware security, and Embedded systems development is desired. The successful applicant will work on various projects on robotics and ...

New York University

Post Doctoral Associate

New York, NY · On-site

$62K - $80K/yr

... adversarial machine learning, computer vision, swarms, autonomous robots, hardware security, and embedded systems development is desired. New York University (NYU) is one of the top private ...

Artefact

Director, AI & Data Science

Manhattan, NY · On-site

What you will be doing You will lead a team of AI & machine learning engineers and managers ... embedded into every solution, while reporting into senior AI/technology leadership on strategy and ...

Artefact

Director, AI & Data Science

Manhattan, NY · On-site

What you will be doing You will lead a team of AI & machine learning engineers and managers ... embedded into every solution, while reporting into senior AI/technology leadership on strategy and ...

Deloitte

Cyber - SecOps - Consultant

New York, NY

... machine learning to address cyber-specific challenges. Cyber Detect & Respond practitioners work with clients to modernize large-scale cyber data and analytics programs, support embedded and as-a ...

Deloitte

Cyber - SecOps - Consultant

Jericho, NY

... machine learning to address cyber-specific challenges. Cyber Detect & Respond practitioners work with clients to modernize large-scale cyber data and analytics programs, support embedded and as-a ...

Deloitte

Cyber - SecOps - Consultant

Jersey City, NJ

... machine learning to address cyber-specific challenges. Cyber Detect & Respond practitioners work with clients to modernize large-scale cyber data and analytics programs, support embedded and as-a ...

Deloitte

Cyber - SecOps - Consultant

Stamford, CT

... machine learning to address cyber-specific challenges. Cyber Detect & Respond practitioners work with clients to modernize large-scale cyber data and analytics programs, support embedded and as-a ...

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Showing results 41-60

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

Hourly Embedded Machine Learning information

See Hempstead, NY salary details

$72.8K

$159.5K

$180.9K

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

As of Aug 6, 2026, the average yearly pay for hourly embedded machine learning in Hempstead, NY is $159,507.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,800.00 and $179,900.00 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 Hempstead, NY? For Hourly Embedded Machine Learning jobs in Hempstead, NY, the most frequently searched job titles are:
What job categories do people searching Hourly Embedded Machine Learning jobs in Hempstead, NY look for? The top searched job categories for Hourly Embedded Machine Learning jobs in Hempstead, NY are:
What cities near Hempstead, NY are hiring for Hourly Embedded Machine Learning jobs? Cities near Hempstead, 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 Hempstead, NY as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $159,507 per year, or $76.7 per hour.

Full Time - Principal Software Engineer - Norwalk, CT onsite

Kanak Elite Services Inc

Norwalk, CT • On-site

$135K - $181K/yr

Contractor

Re-posted 19 days ago

Job description

Hello There,

My name is Himanshu Sharma, and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of Principal Software Engineer with our esteemed client. If you are interested then please share your updated resume at Himanshu01@kanakits.com .

Job Description

Position               : Principal Software Engineer (Embedded Systems) 

Location               : Norwalk, CT onsite – relocation is offered  

Duration              : Full-Time

Required

  • C:
  • C++:
  • RTOS:
  • Embedded Software:
  • Device Driver Software Development:

Job Details

As a software engineer, you'll tackle challenges that blend hardware and software—working on things like machine learning for organizing and categorizing algorithms, real-time system monitoring, and high-performance automation tools. The problems are complex, the scale is global, and your work directly impacts how businesses operate.

It's an environment where innovation is constant, your contributions are visible, and your growth is taken seriously.

If you're looking to write software that drives real machines, solves physical problems, and delivers impact you can see—not just in code, but in motion—this is the kind of place that will keep you engaged and growing every day. 10 years of experience with C++, Embedded Development, RTOS, and Control systems are needed for this role. Bachelor’s degree as a minimum is also needed for this role.