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Remote Embedded Machine Learning Jobs in Carteret, NJ

Mercor

ML Engineer - Coding Agent Expert

New York, NY · Remote

$85/hr

Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex machine learning and AI engineering tasks. * Review model-generated implementations involving model ...

C the Signs

AI Data Engineer

New York, NY · Remote

$117K - $140K/yr

Collaborate with data scientists and machine learning engineers to understand data requirements for ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

C the Signs

AI Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

Collaborate with data scientists and machine learning engineers to understand data requirements for ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Ramp

Software Engineer, Data Platform

New York, NY · Remote

$168K - $324K/yr

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction ... Build and integrate the components of Ramp's Analytics Platform and Machine Learning Platform.

Moody's Analytics

Senior DevOps Engineer (Remote)

New York, NY · Remote

$142K - $182K/yr

Deployment and productionisation or machine learning model applications in production. * Design and develop reusable Terraform and Ansible modules. * Lead the team in various aspects around stability ...

Mercor

Network Specialist - Fully Remote

New York, NY · Remote

$50 - $70/hr

Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from deployed ... Curiosity about how raw infrastructure data becomes machine learning input. Application Process ...

TSMG

AI/ML Data Contributor

New York, NY · Remote

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

TSMG

AI/ML Data Contributor

New York, NY · Remote

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

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All JobsRemote Embedded Machine Learning JobsRemote Embedded Machine Learning Jobs in Carteret, NJ

Remote Embedded Machine Learning information

See Carteret, NJ salary details

$71K

$155.6K

$176.5K

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

As of Jun 29, 2026, the average yearly pay for remote embedded machine learning in Carteret, NJ is $155,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,400.00 and $175,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Embedded Machine Learning Engineer, and why are they important?

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 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 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 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 job categories do people searching Remote Embedded Machine Learning jobs in Carteret, NJ look for? The top searched job categories for Remote Embedded Machine Learning jobs in Carteret, NJ are:
What cities near Carteret, NJ are hiring for Remote Embedded Machine Learning jobs? Cities near Carteret, NJ with the most Remote Embedded Machine Learning job openings:
Remote Embedded Machine Learning jobs near you
Lead AI Engineer/Remote

Lead AI Engineer/Remote

Apetan Consulting llc

Jersey City, NJ • Remote

$80 - $150/hr

Contractor

Posted 5 days ago

Key responsibilities

  • Lead the design, development, and deployment of AI and machine learning solutions across business functions.

  • Define AI architecture, technical standards, and best practices.

  • Build scalable AI pipelines for data preparation, model training, evaluation, and deployment.

Job description

Job Description- Lead AI EngineerPosition Summary

We are seeking a Lead AI Engineer to design, develop, and deploy AI and Machine Learning solutions that drive business value. The ideal candidate will provide technical leadership, guide AI strategy, mentor engineering teams, and build scalable AI systems using modern machine learning, generative AI, and cloud technologies.

Key Responsibilities
  • Lead the design, development, and deployment of AI/ML solutions across business functions.
  • Define AI architecture, technical standards, and best practices.
  • Develop and optimize machine learning, deep learning, and generative AI models.
  • Build scalable AI pipelines for data preparation, model training, evaluation, and deployment.
  • Collaborate with product, engineering, data, and business stakeholders to identify AI opportunities.
  • Implement MLOps practices for model monitoring, governance, and lifecycle management.
  • Evaluate emerging AI technologies and recommend adoption strategies.
  • Ensure AI solutions meet security, privacy, compliance, and ethical AI standards.
  • Lead technical design reviews and provide mentorship to AI/ML engineers and data scientists.
  • Drive innovation and contribute to the organization's AI roadmap.
Required Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
  • 8+ years of experience in software engineering, data science, or AI/ML development.
  • 3+ years of experience leading AI initiatives or engineering teams.
  • Strong programming skills in Python.
  • Hands-on experience with machine learning and deep learning frameworks such as:
    • TensorFlow
    • PyTorch
  • Experience with Generative AI, Large Language Models (LLMs), prompt engineering, and Retrieval-Augmented Generation (RAG).
  • Strong understanding of data structures, algorithms, and software engineering principles.
  • Experience with cloud platforms such as:
    • Microsoft Azure
    • Amazon Web Services
    • Google Cloud
  • Experience deploying AI models in production environments.
Preferred Qualifications
  • Experience with MLOps tools and model lifecycle management.
  • Knowledge of vector databases and semantic search technologies.
  • Experience building AI agents, copilots, or conversational AI applications.
  • Familiarity with containerization and orchestration technologies.
  • Cloud AI certifications and relevant industry certifications.