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Hourly Embedded Machine Learning Jobs in New Jersey

Judge Group, Inc.

AI/ML Engineer

Jersey City, NJ

$70 - $80/hr

Jersey City, NJ Salary: $70.00 USD Hourly - $80.00 USD Hourly Description: Senior Machine Learning Engineer / AI Engineer About the Role We are seeking a Senior Machine Learning Engineer to lead the ...

Burlington

Software Engineer

Beverly, NJ · On-site +1

... machine learning outputs (predictions, scores, embeddings) within Power BI for business consumption. * Implement natural language query (NLQ) and conversational analytics experiences embedded within ...

Catalyst Labs, LLC

Applied AI / ML Engineer

Passaic, NJ · On-site

$118.60K - $142.40K/yr

Applied AI / ML Engineer Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency that's deeply embedded in ...

Latent AI

ML/AI Developer (US Citizen)

Princeton, NJ · On-site

Closely collaborate with machine learning scientists, compilers and embedded developers across the company. You will use Latent AI products and services to help customers solve business challenges ...

Burlington Stores

Software Engineer

Beverly, NJ · On-site

... machine learning outputs (predictions, scores, embeddings) within Power BI for business consumption. * Implement natural language query (NLQ) and conversational analytics experiences embedded within ...

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Hourly Embedded Machine Learning information

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 the most commonly searched types of Embedded Machine Learning jobs in New Jersey? The most popular types of Embedded Machine Learning jobs in New Jersey are:
What are popular job titles related to Hourly Embedded Machine Learning jobs in New Jersey? For Hourly Embedded Machine Learning jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Hourly Embedded Machine Learning jobs in New Jersey look for? The top searched job categories for Hourly Embedded Machine Learning jobs in New Jersey are:
What cities in New Jersey are hiring for Hourly Embedded Machine Learning jobs? Cities in New Jersey 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 New Jersey as of May 2026, with employment types broken down into 75% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 75% Physical, 4% Hybrid, and 21% Remote job distribution.
Hourly Data Analyst

Hourly Data Analyst

New Jersey Institute of Technology

Newark, NJ

$35 - $50/hr

Other

Posted 19 days ago

Job description

Title:
Hourly Data Analyst
Department:
Center for Natural Resources
Reports To:
Director, Center for Natural Resources
Position Type:
Staff
Position Summary:
The Hourly Data Analyst (part-time) will play a key role in REACH project at the Center for Natural Resources (CNR). This position will evaluate machine learning approaches and implement techniques for deep learning as applied to various storms over different watersheds.
Essential Functions:
-Evaluate various machine learning approaches.
-Implement various techniques for deep learning as applied to various storms over different watersheds.
-Forecast based on easily measurable quantities the water level and streamflows at various locations.
-Provide progress reports to Dr. Boufadel.
-Performs other related duties as assigned or requested by the Center Director

Prerequisite Qualifications:
-PhD in Computer Science, Data Science or equivalent or related disciplines.
-Experience working with research centers, government-funded environmental projects (e.g., NJDEP, EPA, NOAA).
-Experience with application of machine learning in Environmental projects.
-Experience collaborating with scientists, engineers, and community partners on outreach initiatives.
-At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position.
Preferred Qualifications:
-Ability to work independently from the Center Director, and to communicate effectively using emails.
-Effective communication and writing skills.

Salary Information:
In compliance with the NJ Pay Transparency Law, the hourly rate/range for this position is $35.00-$50.00 (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items.
FLSA:
Non-Exempt
Part-Time

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