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Remote Embedded Machine Learning Jobs in Milwaukee, WI

Enova International

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Call Center Sales Representative (Remote)

Milwaukee, WI · Remote

$17/hr

This role is entirely remote; however, candidates must reside within 100 miles of either Chicago ... our AI and machine learning-powered ColossusTM platform. We serve non-prime consumers and ...

New

TSMG

AI/ML Data Contributor

Milwaukee, WI · 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

Milwaukee, WI · 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 ...

SmartIPlace

DevOps Engineer[remote]

Milwaukee, WI · Remote

$54 - $74/hr

Remote in the US Start Date: 5/4 Duration: 4 months Location: Milwaukee, WI Visa: USC, GC, GC-EAD ... SQL Server, Azure SQL DB, HDInsight/Hadoop, Machine Learning, Cosmos DB * Experience with ...

micro1 AI

Engineering AI Evaluator (PhD)

Milwaukee, WI · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

micro1 AI

Domain Expert - (STEM PhD)

Milwaukee, WI · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

UVeye

Implementation Manager

Milwaukee, WI · On-site +1

$80K - $90K/yr

... vision, machine learning, and generative AI within the automotive sector. With over $380M in ... This is a remote role, based on CT or ET. The ideal candidate should be located within an hour of a ...

UVeye

Implementation Manager

Milwaukee, WI · Remote

... vision, machine learning, and generative AI within the automotive sector. With over $380M in ... This is a remote role, based on CT or ET. The ideal candidate should be located within an hour of a ...

DataAnnotation

SDLC Engineer - AI Trainer

Milwaukee, WI · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

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All JobsRemote Embedded Machine Learning JobsRemote Embedded Machine Learning Jobs in Milwaukee, WI

Remote Embedded Machine Learning information

See Milwaukee, WI salary details

$69K

$151.1K

$171.4K

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

As of Jun 26, 2026, the average yearly pay for remote embedded machine learning in Milwaukee, WI is $151,120.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,600.00 and $170,400.00 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 are popular job titles related to Remote Embedded Machine Learning jobs in Milwaukee, WI? For Remote Embedded Machine Learning jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Remote Embedded Machine Learning jobs in Milwaukee, WI look for? The top searched job categories for Remote Embedded Machine Learning jobs in Milwaukee, WI are:
Remote Embedded Machine Learning jobs near you
Call Center Sales Representative (Remote)

Call Center Sales Representative (Remote)

Enova International

Milwaukee, WI • Remote

$17/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Enova International rating

6.8

Company rating: 6.8 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

Job description

Enova International is hiring! We provide a pay rate of $17.00/hr, coupled with a quarterly performance bonus and various other incentive programs. This role is entirely remote; however, candidates must reside within 100 miles of either Chicago, IL or South Jordan, UT.


About Enova:

Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered ColossusTM platform. We serve non-prime consumers and businesses alike, while offering world-class technology and services to traditional banks—in order to create accessible credit for millions.


About the role:

Enova operates multiple consumer lending brands, each featuring distinct offerings and customer criteria. In the role of an Application Support Representative, you will undergo a comprehensive three-week training program to specialize in a specific brand. Following the completion of training, you will handle a significant volume of inbound calls, engaging with potential customers to aid them in their loan application process.


Responsibilities:

  • Effectively manage incoming calls, adeptly assisting customers in navigating the loan application process
  • Educate customers by explaining the distinctive features and advantages of Enova's products and services
  • Initiate proactive outreach to customers as needed, encouraging them to finalize their loan application
  • Uphold exceptional customer service standards through articulate and effective verbal and written communication
  • Keep customer accounts meticulously updated with accurate information


Requirements:

  • Experience in a call center setting is preferred
  • Proficient in phone communication and verbal skills, with a keen ability to actively listen
  • Familiarity with CRM systems and their practices
  • Customer-centric approach with adaptability to various personality types
  • Strong multitasking abilities, adept at setting priorities and managing time effectively


Benefits:

  • Health, dental, and vision insurance including mental health benefits
  • 401(k) matching plus a roth option
  • PTO & paid holidays off
  • Paid parental leave
  • DEI groups (B.L.A.C.K. @ Enova, HOLA @ Enova, Women @ Enova, Pride @ Enova, South Asians @ Enova, APEX @ Enova, and Parents @ Enova)
  • Employee recognition and rewards program
  • Plus so much more!


Shifts available (Central Time):

  • Must be available to work an 8-hour shift between 8:00 AM and 8:00 PM Central Time. Some schedules may require working one weekend day.


Start Date:

  • 7/27/2026

Company Description

Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered ColossusTMplatform. We serve non-prime consumers and businesses alike, while offering world-class technology and services to traditional banks—in order to create accessible credit for millions.