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Hourly Embedded Machine Learning Jobs in Cliffside Park, NJ

Meta

Software Engineer, Machine Learning

New York, NY · On-site +1

$183K/yr

Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams ... Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual ...

Jobzhr

Software Engineer, Machine Learning

Manhattan, NY · On-site

$184 - $257/hr

Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams ... Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual ...

New

Carlyle

AlpInvest Embedded Data Scientist

New York, NY · On-site

$190K - $220K/yr

Join our dynamic Investment Data Science Team as an Embedded Data Scientist to partner directly ... The ideal candidate can move seamlessly between developing machine learning models and engaging ...

Carlyle

AlpInvest Embedded Data Scientist

New York, NY · On-site

$190K - $220K/yr

Join our dynamic Investment Data Science Team as an Embedded Data Scientist to partner directly ... The ideal candidate can move seamlessly between developing machine learning models and engaging ...

Geico

Director, Machine Learning Engineering

New York, NY · On-site

$150K - $300K/yr

Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and ...

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All JobsHourly Embedded Machine Learning JobsHourly Embedded Machine Learning Jobs in Cliffside Park, NJ

Hourly Embedded Machine Learning information

See Cliffside Park, NJ salary details

$73.4K

$160.8K

$182.4K

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

As of Aug 21, 2026, the average yearly pay for hourly embedded machine learning in Cliffside Park, NJ is $160,798.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,900.00 and $181,400.00 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 cities near Cliffside Park, NJ are hiring for Hourly Embedded Machine Learning jobs?

Cities near Cliffside Park, NJ 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 Cliffside Park, NJ as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $160,798 per year, or $77.3 per hour.

Adjunct Instructor: GPH-GU 2338/3338 Machine Learning in Public Health

New York University

New York, NY • On-site

$222.27/hr

Full-time

Re-posted 10 days ago

New York University rating

8.5

Company rating: 8.5 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

81st of 620 rated colleges and universities

Job description

Description
Position: Adjunct Instructor
Course: GPH-GU 2338/3338 Machine Learning in Public Health (Syllabus)
Department: NYU School of Global Public Health - Biostatistics
Supervisor: Dr. Rebecca Betensky
Employment Dates: Spring 2026
This course will provide students with a comprehensive understanding of machine learning and its applications in public health and biomedicine. Topics covered include the data generating process, model selection and evaluation, generalized linear models, various supervised and unsupervised machine learning algorithms (such as support vector machines, decision trees, random forests, neural networks, and k-means), and ethical considerations in machine learning.
Students will learn how to implement machine learning methods effectively, including the assessment of assumptions about the data-generating process, the creation of relevant features, the handling of missing data, and the reduction of bias. In addition to gaining familiarity with the potential power of machine learning in public health, students will also explore the specific challenges and limitations inherent to these applications. By the end of the course, students will have a solid foundation in machine learning and its potential for advancing public health research and practice.
Qualifications
Qualified applicants will have an advanced degree in statistics or a related field (PhD preferred). Previous experience teaching introductory statistics is preferred.
Application Instructions
If interested, please upload a CV and cover letter via Interfolio.
In compliance with NYC's Pay Transparency Act, the hourly rate for this position is $222.27. New York University 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.

What New York University employees say

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About New York University

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Since its founding in 1831, NYU has been an innovator in higher education, reaching out to an emerging middle class, embracing an urban identity and professional focus, and promoting a global vision that informs its 20 schools and colleges. Today, that trailblazing spirit makes NYU one of the most prominent and respected research universities in the world, featuring top-ranked academic programs and accepting fewer than one in eight undergraduates. Anchored in New York City and with degree-granting campuses in Abu Dhabi and Shanghai as well as 12 study away sites throughout the world, NYU is a leader in global education, with more international students and more students studying abroad than any other US university.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1831

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