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Remote Embedded Machine Learning Jobs in North Carolina

IQVIA

AI Solutions Delivery 3 (Remote)

Durham, NC · Remote

Our team offerings leverage advanced analytics, machine learning algorithms, and technology platforms for a variety of healthcare applications including finding undiagnosed patients with rare ...

IQVIA

AI Solutions Delivery 3 (Remote)

Durham, NC · Remote

Our team offerings leverage advanced analytics, machine learning algorithms, and technology platforms for a variety of healthcare applications including finding undiagnosed patients with rare ...

Booz Allen Hamilton, Inc.

Data Scientist

Fayetteville, NC · On-site +1

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

You Have: * 5+ years of experience in data science or machine learning engineer roles * Experience ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Dlapiper

Data Scientist

Raleigh, NC · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

A specialization in machine-learning, artificial intelligence, cognitive science or data science is ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

New

Berriehill Research

Senior AI Systems Engineer

Raleigh, NC · On-site +1

$92K - $126K/yr

Operationalize machine learning workflows and support AI-enabled applications from development ... This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be ...

Limble

Product Manager

Charlotte, NC · Remote

$130K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We're exploring how AI and machine learning can help maintenance teams predict equipment failures ... Comfortable working in a fully remote environment and collaborating with teammates across multiple ...

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All JobsEmbedded Machine Learning JobsRemote Embedded Machine Learning JobsRemote Embedded Machine Learning Jobs in North Carolina

Remote Embedded Machine Learning information

What is a remote embedded machine learning engineer?

A Remote Embedded Machine Learning Engineer is a professional who develops and deploys machine learning models on embedded systems like microcontrollers, IoT devices, and edge hardware, all while working remotely. Their work involves optimizing algorithms to run efficiently on devices with limited computing power, memory, and battery life. These engineers typically use frameworks such as TensorFlow Lite or TinyML to design intelligent features that operate directly on hardware, enabling real-time decision-making without relying heavily on cloud connectivity. They collaborate with cross-functional teams and often troubleshoot both software and hardware issues from a remote location.

What are the key skills and qualifications needed to thrive as a remote embedded machine learning engineer?

To thrive as a Remote 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 science, electrical engineering, or related fields. Familiarity with microcontrollers, edge AI frameworks (such as TensorFlow Lite or Edge Impulse), and version control systems is typically required. Strong problem-solving skills, effective communication, and self-motivation are essential soft skills for collaborating remotely and troubleshooting complex issues. These skills ensure successful deployment of intelligent solutions on resource-constrained devices and effective teamwork in distributed environments.

What are some common challenges faced by remote embedded machine learning engineers, and how can they be addressed?

Remote Embedded Machine Learning Engineers often encounter challenges related to hardware access, debugging embedded devices remotely, and collaborating with cross-functional teams across time zones. To address these, it's important to set up robust remote development environments, use simulation tools when physical hardware isn't available, and establish clear communication channels for effective teamwork. Regular virtual meetings and detailed documentation also help ensure alignment and smooth progress, despite the remote nature of the work.

What is the difference between Remote Embedded Machine Learning vs Remote Data Scientist?

AspectRemote Embedded Machine LearningRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; experience with embedded systems and ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis and ML algorithms
Work EnvironmentEmbedded hardware devices, IoT systems, real-time processing environmentsCloud platforms, data analysis labs, remote offices
Employer & Industry UsageTech companies, IoT device manufacturers, automotive, roboticsFinance, healthcare, marketing, tech firms

Remote Embedded Machine Learning specialists focus on integrating ML models into embedded hardware for real-time applications, often working with IoT and robotics. In contrast, Remote Data Scientists analyze large datasets to extract insights, primarily working in cloud or office environments. Both roles require strong analytical skills but differ in technical focus and work settings.

What are the most commonly searched types of Embedded Machine Learning jobs in North Carolina?

The most popular types of Embedded Machine Learning jobs in North Carolina are:

What are popular job titles related to Remote Embedded Machine Learning jobs in North Carolina?

For Remote Embedded Machine Learning jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Remote Embedded Machine Learning jobs in North Carolina look for?

The top searched job categories for Remote Embedded Machine Learning jobs in North Carolina are:

What cities in North Carolina are hiring for Remote Embedded Machine Learning jobs?

Cities in North Carolina with the most Remote Embedded Machine Learning job openings:

Remote Embedded Machine Learning jobs near you
Infographic showing various Remote Embedded Machine Learning job openings in North Carolina as of July 2026, with employment types broken down into 32% Full Time, 35% Part Time, and 33% Contract. Highlights an 100% Remote job distribution.

Lead Product Manager - Marketing Platform (Remote - United States)

Yelp, Inc

Raleigh, NC • On-site, Remote

$104K - $269K/yr

Full-time

Re-posted 27 days ago

Yelp rating

7.8

Company rating: 7.8 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

137th of 245 rated software companies

Job description

Summary
Yelp is looking for a collaborative and innovative Lead Product Manager to develop and drive the strategy for our Marketing Platform. Your work will enable our marketing teams to reach and engage communities everywhere, using technology, data, and creative solutions. You'll play a central role connecting product, marketing, engineering, and data teams so that we deliver real value to Yelp's consumers and Local Businesses.
You'll have the opportunity to lead the creation and execution of a product roadmap that aligns directly with Yelp's marketing strategy and company goals. Your expertise will help Yelp maximize the impact of industry-leading marketing automation platforms and develop custom solutions that streamline workflows across teams.
This role is ideal for a creative leader who thrives in cross-functional environments, loves solving complex problems, values diverse perspectives, and enjoys transforming innovative ideas into real-world impact.
This opportunity is fully remote and does not require you to be located in any particular state within the US. We welcome applicants from throughout the US. We'd love to have you apply, even if you don't feel you meet every single requirement in this posting. At Yelp, we're looking for great people, not just those who simply check off all the boxes.
What you'll do:
  • Partner with marketing leaders to build and lead a product roadmap that supports Yelp's marketing strategy and company goals.
  • Use your experience with leading third-party marketing automation platforms (such as Salesforce Marketing Cloud or Braze) to maximize their value for our teams and customers.
  • Research and implement emerging technologies including machine learning and artificial intelligence, ensuring our marketing tools benefit from the latest advances.
  • Connect with specialist groups such as data analytics and machine learning/artificial intelligence teams to bring new solutions to market and support their successful adoption.
  • Stay informed about trends and best practices in marketing technology to keep Yelp at the forefront of innovation.
  • Listen closely to marketing team members, learn from a variety of experiences, and support others to succeed through empathy and clear communication.

What it takes to succeed:
  • Expertise in product management, with work in marketing technology or marketing operations.
  • You have hands-on experience with at least one marketing automation platform (e.g., Salesforce Marketing Cloud, Braze, or similar).
  • You are comfortable working together with engineers and can communicate technical requirements even if you don't code yourself.
  • You're curious about how machine learning and artificial intelligence can shape the future of marketing and enjoy working with teams exploring these areas.
  • You use data to guide decisions and value privacy, inclusivity, and transparency in data practices.
  • You have partnered with marketing teams or worked in a marketing-related role and appreciate different marketing approaches and perspectives.
  • A Bachelor's Degree or an equivalent work experience is required.

What you'll get:
  • Compensation range is $104,000 - $269,000 annually. Depending on your role and level, you may also be offered a bonus, restricted stock units, and benefits.
  • This opportunity has the option to be fully remote in all locations across the US.
  • You can find more information about Yelp's five star benefits here!

Closing
At Yelp, we believe that diversity is an expression of all the unique characteristics that make us human: race, age, sexual orientation, gender identity, religion, disability, and education - and those are just a few. We recognize that diverse backgrounds and perspectives strengthen our teams and our product. The foundation of our diversity efforts are closely tied to our core values, which include "Playing Well With Others" and "Authenticity."
We're proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition or disability.
Actual salary offered may vary based on multiple factors, including but not limited to, an individual's location and experience.
We will consider for employment qualified candidates with arrest and conviction records, consistent with applicable law (including, for example, the San Francisco Fair Chance Ordinance for roles based in San Francisco, the Los Angeles County Fair Chance Ordinance for roles based in the unincorporated areas of Los Angeles County, and the California Fair Chance Act for roles based in California).
Where required by law, a criminal background check will not be conducted until after a conditional offer of employment is made, and any evaluation of a candidate's criminal background check will be subject to an individualized assessment that takes into account the candidate's specific criminal records and the responsibilities and requirements of the particular role.
We are committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-recruiting@yelp.com or 415-969-8488.
Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes.
US Recruiting and Applicant Privacy Notice
Notice to Washington Applicants - Washington State Fair Chance Act
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