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Remote Embedded Machine Learning Jobs in Indianapolis, IN

Embedded Software Engineer

Greenwood, IN · On-site +1

$124K - $164K/yr

Do you like to work with cross-functional and remote teams in Research & Development consisting of ... Lifelong learning encouraged by versatile training, tuition reimbursement, success coaching, and ...

... 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 ...

... 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 ...

Senior AI Engineer

Indianapolis, IN · On-site +1

$99K - $137K/yr

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... The Senior AI Engineer 1 (Senior Staff) leads the development of advanced AI and machine learning ...

Topo provides scalable, embedded accounting and finance support to high-growth venture-backed ... be learning machines that will result in strategic insight to the companies we support. Topo ...

Topo provides fractional embedded accounting and finance support to venture-backed companies. Topo ... be learning machines that will result in strategic insight to the companies we support. Topo ...

Senior IT Systems Engineer

Indianapolis, IN · Remote

$99K - $136K/yr

Our Deep Learning technology captures user behavior and utilizes machine learning to connect people ... This is a fully remote individual contributor role within the Technology organization, working with ...

Remote Embedded Machine Learning information

See Indianapolis, IN salary details

$66.9K

$146.6K

$166.3K

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

As of Jul 28, 2026, the average yearly pay for remote embedded machine learning in Indianapolis, IN is $146,614.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,700.00 and $165,400.00 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 the most commonly searched types of Embedded Machine Learning jobs in Indianapolis, IN? The most popular types of Embedded Machine Learning jobs in Indianapolis, IN are:
What are popular job titles related to Remote Embedded Machine Learning jobs in Indianapolis, IN? For Remote Embedded Machine Learning jobs in Indianapolis, IN, the most frequently searched job titles are:
What cities near Indianapolis, IN are hiring for Remote Embedded Machine Learning jobs? Cities near Indianapolis, IN with the most Remote Embedded Machine Learning job openings:
Infographic showing various Remote Embedded Machine Learning job openings in Indianapolis, IN as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $146,614 per year, or $70.5 per hour.
Artificial Intelligence/Machine Learning Engineer

Artificial Intelligence/Machine Learning Engineer

Wabash Valley Power

Indianapolis, IN • On-site, Remote

$109K - $131K/yr

Full-time

Medical, Retirement, PTO

Posted 28 days ago


Job description

Company Description

About Us
Headquartered in Indianapolis, Indiana, Wabash Valley Power is a not-for-profit electric cooperative and wholesale provider of reliable, affordable electricity to our 21 electric distribution member cooperatives. These cooperatives in turn serve more than 280,000 homes, businesses, and farms in Indiana and Illinois. 
As a not-for-profit co-op, we do things a bit differently-and that's the point. Because we aren't influenced by shareholders, we make our decisions with our members in mind. That means we value things like teamwork, and putting families first. It also means a business model that's designed for stability and growth. It's a Deliberately Different approach to the energy industry, and that's great news for the people who count on us.

What You'll Get
We believe what benefits our employees benefits our company. That's why we put employees first-your health, your family, and your development. These aren't just slogans: We offer continuing education, flex time, health benefits, a 401(k) match and pension plan, and much more. Here are just a few of the things that make our company culture unique:

  No Sweat  - We offer a wellness program that includes a payroll credit for medical insurance, an on-site fitness center for your convenience and extra vacation days for participating. We'll even throw in a fitness device reimbursement to keep you on track!
  Flex Time  - Our flexible schedule means you can work in your appointments or family events and maintain a comfortable work-life balance.
  Stay in School  - We value employees who have a desire to learn, so we provide funds for continuing education. We also offer in-house training and ongoing development through our internal GROW program.
  Keep it Casual  - When you work for us, you work in comfort.  Blue jeans are the norm in our office, and we make them look good!
  Work Hard, Play Hard  - We reward our employees with generous vacation time, to the tune of up to five weeks off a year. Even our new employees receive credit for prior work experience.

Job Description

This position will design, implement, and support artificial intelligence (AI)/machine learning (ML) systems as the subject matter expert for Wabash Valley Power Alliance. This position will work with all business units, member cooperatives, and business partners to automate and optimize workflows and processes while limiting business risks. Success requires a desire to work with a broad range of technologies, systems, and databases to benefit Wabash Valley Power and our Member Cooperatives.  This position will also identify and develop AI/ML education for Wabash Valley Power and member cooperative staff. 

This role is hybrid in nature, with a combination of on-site workdays and remote workdays. 

Essential Duties and Responsibilities: 

  • Maintain compliance with all company policies and procedures
  • Present artificial intelligence and data finding to technical and non-technical stakeholders
  • Design, implement, administer, monitor, and maintain artificial intelligence/machine learning systems
  • Design, analyze, and maintain system algorithms including data models, natural language models, and machine learning models
  • Train and evaluate artificial intelligence system to ensure systems remain accurate with limited hallucinations
  • Perform complex analysis on large data sets and communicate meaningful intelligence to Technical Service Leadership
  • Research, prototype, and recommend new technology platforms or systems to improve business workflows and reduce risks
  • Maintain a constant level of expertise in all artificial intelligence technologies including but not limited to generative AI, machine learning, natural language processing, and deep learning
  • Develop and maintain computer code need for artificial intelligence system and business automation systems
  • Develop and implement AI models for tasks such as:
    • Predictive maintenance: Analyze sensor data to predict equipment failures and optimize maintenance scheduling
    • Load forecasting: Improve the accuracy of electricity demand forecasts to ensure reliable and cost-effective power generation
  • Develop and present reports on systems and business workflows
  • Develop and foster relationships with universities AI/ML programs
  • Education end-users on AI/ML tools and how they can be used within the organization and member cooperatives
  • Perform additional activities needed to demonstrate regulatory compliance with NERC CIP security standards.
Qualifications
  • Bachelor's Degree in quantitative science, engineering, or other STEM field
  • Three to five years prior artificial intelligence/machine learning or data analysis experience
  • Excellent verbal and written communication skills, including ability to effectively communicate with internal and external customers
  • Excellent technology proficiency with a strong commitment to continuous learning
  • Must be able to work under pressure and meet deadlines, while maintaining a positive attitude and providing exemplary customer service
  • Ability to work independently and to carry out assignments to completion within parameters of instructions given, prescribed routines, and standard accepted practices

Preferred Experience: 

  • Any system, network, or cybersecurity related experience or certifications are a plus
  • Experience working with data rich problems in research or professional projects is a plus
  • Graduate degree in data science, computational science, or artificial intelligence is a plus
  • Experience with data analysis tools such as R and Python
Additional Information

All your information will be kept confidential according to EEO guidelines.