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Hourly Embedded Machine Learning Jobs in New York

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 ...

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 ...

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All JobsHourly Embedded Machine Learning JobsHourly Embedded Machine Learning Jobs in New York

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

Offensive Security Researcher, Kernel & Embedded Security

Apple

New York, NY

$150K - $277K/yr

Full-time

Medical, Dental, Retirement

Re-posted 23 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Apple's Security Engineering & Architecture organization is responsible for the security of all Apple products. Passionate about safeguarding our users, we take an offensive approach to defense - finding and fixing vulnerabilities before they can be exploited. When it comes to securing more than a billion devices running the world's most sophisticated operating systems, that means finding vulnerabilities first.
Can you make a difference on this scale? Join our extraordinary team of security researchers and help protect all Apple users.
Description
We engage in various activities, including vulnerability research, binary exploitation, security tooling development, fuzzing, machine learning, and many more. By developing and harnessing state-of-the-art technologies, we amplify our impact on Apple's product security.
In this role, your primary focus will be on the kernel and embedded layers of Apple platforms. You will conduct offensive security research across operating system kernels, boot ROMs, firmware, secure enclaves, and other low-level components that form the foundation of our security architecture. You will work in cross-functional teams alongside other researchers and engineering teams to evaluate and strengthen the most privileged layers of our products.
This job is for individuals with outstanding technical skills, grit, and a genuine passion for breaking systems - so we can build them stronger.
If this is you, we'd love to hear from you.
Preferred Qualifications
Deep knowledge of kernel internals, including virtual memory management, system call interfaces, and driver frameworks
Experience with firmware and boot ROM security analysis, including secure boot chains and hardware trust anchors
Familiarity with embedded processors and coprocessors security (e.g., Secure Enclave, DMA-capable peripherals, baseband)
Fluency with tool development, using programming languages such as C, C++, Python, Swift, or Objective-C
Experience with reverse-engineering techniques and tools like IDA or Ghidra
Knowledge of Apple operating systems like iOS or macOS is nice-to-have, but not required
Minimum Qualifications
Proven experience in vulnerability research targeting operating system kernels, firmware, or embedded components
Strong understanding of low-level vulnerability classes and exploitation techniques, such as memory corruption, race conditions, and use-after-free
Ability to apply AI techniques and tools, such as LLMs or Machine Learning, for security research
Outstanding collaboration skills
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

What Apple employees say

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Benefits

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Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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