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Hourly Embedded Machine Learning Jobs in New York

Synaptrix Labs

Internship Program

New York, NY

$18.25 - $23.75/hr

Build and prototype non-invasive EEG-based BCI hardware, from electrode arrays to embedded microcontroller systems. * Design, train, and evaluate machine learning models for EEG/EMG decoding ...

Synaptrix Labs

Internship Program

New York, NY · On-site

$18.25 - $23.75/hr

Build and prototype non-invasive EEG-based BCI hardware, from electrode arrays to embedded microcontroller systems. * Design, train, and evaluate machine learning models for EEG/EMG decoding ...

Synaptrix Labs

Internship Program

New York, NY

$18.25 - $23.75/hr

Build and prototype non-invasive EEG-based BCI hardware, from electrode arrays to embedded microcontroller systems. * Design, train, and evaluate machine learning models for EEG/EMG decoding ...

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.

Ramp

Senior Applied Scientist, Credit Risk

New York, NY · Remote

$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

$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 ...

1-800-Flowers

Intern, Artificial Intelligence

Jericho, NY · On-site

$19/hr

Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) is a plus ... hourly rate for this position is $19.00. The actual compensation will be determined by experience ...

AllSTEM Connections

Data Scientist I (Assistant)

Rahway, NJ · On-site

$104K - $114K/yr

... machine learning workflows and rigorous statistical analyses to help accelerate the discovery of next-generation medicines. As an embedded member of a cross-functional scientific computing group, you ...

Curinos Inc

Senior Data Scientist

Manhattan, NY · On-site

$110K - $124K/yr

... Machine Learning Team focused on the application of data science, machine learning and AI to ... Collaborate with business partners to translate business context into technical solutions embedded ...

New York University

RESEARCH SCHOLAR

New York, NY · On-site

$27/hr

Develop and evaluate models in machine learning and reinforcement learning * Publish papers in top ... Salary In compliance with NYC's Pay Transparency Act, the hourly rate for this position is $27.00 ...

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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 York? The most popular types of Embedded Machine Learning jobs in New York are:
What are popular job titles related to Hourly Embedded Machine Learning jobs in New York? For Hourly Embedded Machine Learning jobs in New York, the most frequently searched job titles are:
What job categories do people searching Hourly Embedded Machine Learning jobs in New York look for? The top searched job categories for Hourly Embedded Machine Learning jobs in New York are:
What cities in New York are hiring for Hourly Embedded Machine Learning jobs? Cities in New York with the most Hourly Embedded Machine Learning job openings:
Hourly Embedded Machine Learning jobs near you

Internship Program

Synaptrix Labs

New York, NY

$18.25 - $23.75/hr

Full-time, Internship

Posted 17 days ago

Job description

About Synaptrix Labs Inc.

Synaptrix is on a mission to revolutionize brain-computer interfaces through non-invasive approaches. We believe that the power to diagnose and treat neurological conditions safely, and to expand human potential, will become a reality with the right fusion of deep learning, signal processing, and computational neuroscience.

We're seeking passionate, creative, and technically driven interns to join our team across multiple disciplines: Software Engineering, Hardware Engineering, Machine Learning Research, Industrial Design, and UI/UX Design. If you're excited about building the future of brain-computer interfaces and want to work at the intersection of neuroscience, AI, and human experience, we want to hear from you.

Responsibilities:

Depending on your background and interests, you may:

  • Contribute to development of real-time software systems for neural signal processing and data visualization.
  • Build and prototype non-invasive EEG-based BCI hardware, from electrode arrays to embedded microcontroller systems.
  • Design, train, and evaluate machine learning models for EEG/EMG decoding, denoising, and signal enhancement.
  • Develop intuitive interfaces and user experiences for individuals with mobility or communication impairments.
  • Collaborate with the design team to prototype wearable and ergonomic form factors for next-generation neurotech devices.
  • Support data collection and analysis in research sessions, assisting with experimental setup and instrumentation.
  • Participate in cross-functional design reviews and brainstorming sessions that bring together neuroscience, AI, and engineering.
  • Contribute to internal documentation, test plans, and experimental logs for ongoing R&D projects.

Minimum Qualifications:

  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Electrical Engineering, Biomedical Engineering, Neuroscience, Mechanical/Industrial Design, or a related field.
  • Demonstrated experience with one or more of the following:
    • Software: Python, C++, or JavaScript
    • Machine Learning: PyTorch, TensorFlow, or JAX
    • Hardware: Arduino, PCB design, or embedded systems
    • Design: Figma, Fusion 360, SolidWorks, or similar tools
  • Strong problem-solving ability and curiosity about neuroscience, AI, or human-machine interfaces.
  • Excellent communication and teamwork skills; thrives in a fast-paced, interdisciplinary environment.
  • Availability for an internship in New York City.

Preferred Qualifications:

  • Prior experience with EEG/EMG systems, biosignal acquisition, or data analysis.
  • Familiarity with deep learning for time-series or multimodal data.
  • Experience designing assistive devices, wearables, or medical technology.
  • Portfolio, GitHub, or research projects demonstrating creative technical work.
  • Interest in startups, prototyping, and early-stage innovation.

About our Culture:

At Synaptrix Labs, we celebrate curiosity, open collaboration, and scientific rigor. Our interdisciplinary team spans neuroscience, AI, and clinical research, and we are united by the belief that non-invasive BCI is the key to unlocking a new era in healthcare, accessibility, and human augmentation.
As an intern, you'll work directly alongside engineers, researchers, and designers who are defining the next generation of brain-computer interfaces. You'll be encouraged to explore bold ideas, experiment freely, and take ownership of meaningful projects from day one.

What We Offer:

  • Hands-on experience in one of the world's most exciting emerging fields: brain-computer interfaces
  • Opportunity to contribute to technology that directly improves lives
  • Mentorship from scientists, engineers, and founders building real neurotechnology products
  • Dynamic NYC workspace blending lab, workshop, and creative studio environments
  • Potential for full-time conversion after graduation