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Remote Embedded Machine Learning Jobs in New Jersey

Adidev Technologies

AI/ML

Hoboken, NJ · Remote

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

Databricks

$105K - $145K/yr

This role can be remote. The impact you will have: * Develop cutting-edge GenAI solutions ... Experience building production-grade machine learning deployments on AWS, Azure, or GCP * Graduate ...

UVeye

Technical Customer Support Engineer, Tier 2

Teaneck, NJ · On-site +1

$36 - $43/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... vision, machine learning, and generative AI within the automotive sector. With over $380M in ... Ideally Wed-Fri in-office in Teaneck, NJ and Sat-Sun remote with flexibility. A day in the life and ...

micro1 AI

AI Trainer - Microbiology Expert

Newark, NJ · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

micro1 AI

AI Trainer - Microbiology Expert

Elizabeth, NJ · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

micro1 AI

AI Trainer - Microbiology Expert

Paterson, NJ · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

QCi

... affordable quantum machines to the world today. QCi products are designed to operate at room ... supporting embedded software or internal tools. * Understanding of resource access, system ...

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Showing results 21-40

All JobsEmbedded Machine Learning JobsRemote Embedded Machine Learning JobsRemote Embedded Machine Learning Jobs in New Jersey

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 New Jersey?

The most popular types of Embedded Machine Learning jobs in New Jersey are:

What are popular job titles related to Remote Embedded Machine Learning jobs in New Jersey?

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

What job categories do people searching Remote Embedded Machine Learning jobs in New Jersey look for?

The top searched job categories for Remote Embedded Machine Learning jobs in New Jersey are:

What cities in New Jersey are hiring for Remote Embedded Machine Learning jobs?

Cities in New Jersey with the most Remote Embedded Machine Learning job openings:

Remote Embedded Machine Learning jobs near you

AI & Automation Strategy Lead

Willis Towers Watson (WTW)

Mount Laurel, NJ • Remote

Full-time

Re-posted 23 days ago

Willis Towers Watson rating

8.3

Company rating: 8.3 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

37th of 150 rated financial services

Job description

The Role 

Strategic Partnership & Collaboration

  • Act as the primary liaison between GCO, the WE DO Corp IT Platforms team, and the Automation and AI COEs, fostering a collaborative and transparent working relationship.
  • Partner with crossfunctional stakeholders to understand business needs and build technology solutions that support operational goals.

Technology Strategy & Roadmap Development

  • Maintain currentstate assessments of GCO tools, systems, and processes, documenting strengths, gaps, and opportunities.
  • Establish and maintain a comprehensive technology and automation roadmap that aligns with organizational priorities and futurestate vision.

Process Optimization & Automation

  • Identify opportunities to streamline workflows, reduce manual effort, and improve operational efficiency through automation and process redesign.
  • Recommend and shape automation solutions that deliver measurable impact on efficiency and cost reduction.

Technology Implementation

  • Partner closely with IT teams to design, evaluate, and implement technology solutions - including RPA, AI, machine learning, and other emerging capabilities.
  • Support project planning, requirements gathering, and development to ensure successful implementation of new tools and features.

Vendor Partnership

  • Collaborate with Vendor Management to evaluate external technology partners and provide feedback on vendor performance, capabilities, and future enhancements.

Change Adoption

  • Promote continuous learning and encourage team proficiency in emerging technologies, automation and AI.

Work Environment

  • Operate effectively in a fully remote role, demonstrating accountability, communication, and selfmanagement.
  • Contribute to a collaborative and highperforming team culture.

  • This role will require working US hours.

The Requirements 

Core Competencies

  • Strong communication and relationshipbuilding skills, with the ability to collaborate across IT, business operations, and vendor teams.
  • Strategic mindset with the ability to translate business needs into practical technology solutions.
  • Demonstrated capability in process analysis, workflow optimization, and the application of automation tools.
  • Proven ability to lead crossfunctional initiatives and influence without formal authority.

Technical Skills

  • Experience with automation platforms, RPA tools, and emerging technologies such as AI and machine learning.
  • Ability to evaluate technology capabilities and document requirements for both business and technical audiences.

Additional Preferred Skills

  • Background in technology planning, operational workflow design, or digital transformation.
  • Experience assessing vendor tools and collaborating with thirdparty providers.
  • Strong facilitation skills to support user adoption.

WTW is an Equal Opportunity Employer 

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What Willis Towers Watson employees say

Pay

Benefits

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