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Hourly Embedded Machine Learning Jobs in Syracuse, NY

Howard

Assistant Professor

Locke, NY · On-site

... Initiative and is embedded within the interdisciplinary cluster "Advancing Health through ... Conduct high-quality, externally visible research in applied mathematics, machine learning, and ...

Walmart

Stocking Team Associate

Central Square, NY · On-site

$16.50 - $29.50/hr

Hourly Wage: $16.5 - $29.5 per/hour *The actual hourly rate will equal or exceed the required ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Walmart

Stocking Team Associate

East Syracuse, NY · On-site

$16 - $29/hr

The actual hourly rate will equal or exceed the required minimum wage applicable to the job ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Walmart

Stocking Team Associate

Oneida, NY · On-site

$16 - $29/hr

The actual hourly rate will equal or exceed the required minimum wage applicable to the job ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Walmart

Stocking Team Associate

Auburn, NY · On-site

$16 - $29/hr

The actual hourly rate will equal or exceed the required minimum wage applicable to the job ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Walmart

Stocking Team Associate

Cicero, NY · On-site

$16 - $29/hr

The actual hourly rate will equal or exceed the required minimum wage applicable to the job ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Walmart

Stocking Team Associate

Liverpool, NY · On-site

$16 - $29/hr

The actual hourly rate will equal or exceed the required minimum wage applicable to the job ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Walmart

Stocking Team Associate

Fulton, NY · On-site

$16.50 - $29.50/hr

Hourly Wage: $16.5 - $29.5 per/hour *The actual hourly rate will equal or exceed the required ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Alera Group

Part-Time, Temporary Receptionist

Syracuse, NY · On-site

$20 - $25/hr

Growth & Learning: Opportunities to deepen your expertise and gain exposure to a variety of clients ... Maintain and service postage machines and copier equipment * Submit and track service calls for ...

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

Hourly Embedded Machine Learning information

See Syracuse, NY salary details

$69.2K

$151.5K

$171.9K

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 Syracuse, NY is $151,547.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,900.00 and $170,900.00 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 the most commonly searched types of Embedded Machine Learning jobs in Syracuse, NY? The most popular types of Embedded Machine Learning jobs in Syracuse, NY are:
What are popular job titles related to Hourly Embedded Machine Learning jobs in Syracuse, NY? For Hourly Embedded Machine Learning jobs in Syracuse, NY, the most frequently searched job titles are:
What job categories do people searching Hourly Embedded Machine Learning jobs in Syracuse, NY look for? The top searched job categories for Hourly Embedded Machine Learning jobs in Syracuse, NY are:
What cities near Syracuse, NY are hiring for Hourly Embedded Machine Learning jobs? Cities near Syracuse, 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 Syracuse, NY 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 $151,547 per year, or $72.9 per hour.

Assistant Professor

Howard

Locke, NY • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 17 days ago

Job description

The Talent Acquisition department hires qualified candidates to fill positions which contribute to the overall strategic success of Howard University. Hiring staff "for fit" makes significant contributions to Howard University's overall mission.

At Howard University, we prioritize well-being and professional growth.

Here is what we offer:

  • Health & Wellness: Comprehensive medical, dental, and vision insurance, plus mental health support
  • Work-Life Balance: PTO, paid holidays, flexible work arrangements
  • Financial Wellness: Competitive salary, 403(b) with company match
  • Professional Development: Ongoing training, tuition reimbursement, and career advancement paths
  • Additional Perks: Wellness programs, commuter benefits, and a vibrant company culture

Join Howard University and thrive with us!

https://hr.howard.edu/benefits-wellness

The Department of Mathematics in the College of Arts and Sciences at Howard University invites applications for a full-time, tenure-track Assistant or Associate Professor position. The department seeks candidates with research expertise and teaching interests in mathematics enhanced artificial intelligence (AI), with applications to radiology, endocrinology, and related biomedical domains. The anticipated start date is August 2026.
This position is part of the Provost's Artificial Intelligence Cluster Hire Initiative and is embedded within the interdisciplinary cluster "Advancing Health through Mathematics-Enhanced AI for Radiology and Endocrinology", jointly led by the College of Arts and Sciences and the College of Medicine. The cluster aims to strengthen university-wide research capacity by recruiting faculty whose scholarship advances mathematical foundations, modeling, and computational methodologies that support AI-driven biomedical discovery, while fostering
collaboration across disciplines.


SUPERVISORY AUTHORITY: The successful candidate is expected to demonstrate a strong commitment to excellence in teaching, mentoring, and service. The faculty member will contribute to the growth of the Department of Mathematics' research and academic programs in data science, applied mathematics, and AI, and will actively participate in interdisciplinary initiatives across the university.


NATURE AND SCOPE:
From a mathematics-centered perspective, this position emphasizes the development and application of mathematical theory, statistical modeling, and computational methods that underpin modern AI and machine learning approaches in biomedical sciences. The cluster seeks to advance quantitative frameworks for imaging, inference, prediction, and decision-making in complex biological and clinical systems. The successful candidate will contribute to an interdisciplinary academic environment through research, teaching, mentorship, and collaboration. Responsibilities include leading independent and collaborative research programs at the interface of mathematics, AI, and biomedical
imaging; contributing to undergraduate and graduate curriculum development; mentoring students; and conducting research that addresses health disparities and promotes inclusive excellence.

PRINCIPAL ACCOUNTABILITIES:
Conduct high-quality, externally visible research in applied mathematics, machine learning, and artificial intelligence, with relevance to biology and medicine.
Develop and sustain an externally funded research program, including collaborative interdisciplinary projects.
Teach undergraduate and graduate courses in mathematics, data science, machine learning, and artificial intelligence.
Supervise and mentor undergraduate and graduate students, postdoctoral scholars, and junior researchers.
Collaborate with faculty across mathematics, medicine, and related disciplines to advance AI-enabled quantitative methods for biomedical applications.

CORE COMPETENCIES:
The Department of Mathematics particularly encourages applicants with expertise in one or more of the following areas:
Mathematical Foundations of AI and Machine Learning:
Optimization, statistical learning theory, inverse problems, uncertainty quantification, dynamical systems, or computational mathematics relevant to AI.
AI and Data-Driven Modeling in Biomedicine:
Development of mathematical and computational methods for imaging, neuroscience, endocrinology, diabetes, or other data-intensive biomedical domains.
Interdisciplinary Research and Collaboration:
Demonstrated ability to collaborate with clinicians, biologists, or engineers to develop mathematically grounded AI/ML approaches for complex biological and medical datasets.

MINIMUM REQUIREMENTS:
Ph.D. in Mathematics, Applied Mathematics, Computer Science, Data Science, Artificial Intelligence, or a closely related field.
Strong research record in mathematics-driven AI or ML, with applications to biology or medicine, evidenced by peer-reviewed publications.
Demonstrated ability or clear potential to secure external research funding.
Evidence of excellence or strong potential in undergraduate and graduate teaching.
Commitment to interdisciplinary collaboration, student mentorship, and advancing diversity, equity, and inclusion in teaching and research.

Compliance Salary Range Disclosure

Compensation Range: $135,000 - $150,000

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