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Remote Embedded Machine Learning Jobs in Indianapolis, IN

Topo Advisors

Assistant Controller

Indianapolis, IN · On-site +1

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 ...

Crowe LLP

Cyber AI Security Manager

Indianapolis, IN · On-site +1

$106K - $143K/yr

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... Act as the security expert in designing, developing, and deploying secure AI and machine learning ...

Topo Advisors

Controller

Indianapolis, IN · On-site +1

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 Advisors

Senior Financial Analyst

Indianapolis, IN · On-site +1

$81K - $101K/yr

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 ...

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All JobsEmbedded Machine Learning JobsRemote Embedded Machine Learning JobsRemote Embedded Machine Learning Jobs in Indianapolis, IN

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 Sep 10, 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 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 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 job categories do people searching Remote Embedded Machine Learning jobs in Indianapolis, IN look for?

The top searched job categories for Remote Embedded Machine Learning jobs in Indianapolis, IN 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:

Remote Embedded Machine Learning jobs near you
Infographic showing various Remote Embedded Machine Learning job openings in Indianapolis, IN as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $146,614 per year, or $70.5 per hour.

Assistant Controller

Indianapolis, IN • On-site, Remote

Topo Advisors
See more jobs at Topo Advisorsexternal

Full-time

Re-posted 23 days ago

Job description

Topo is hiring key team members for its accounting team. If you've ever been interested in working at a startup as a member of the initial team, this is it!

Topo provides fractional embedded accounting and finance support to venture-backed companies. Topo's customers look to us as early-stage company experts focused on helping their companies succeed.

We are looking for a strong Assistant Controller to provide world-class accounting support to high-growth venture-backed companies. You'll be a hands-on thought partner to CEOs and leadership team members at dynamic software and services companies.

This position can be remote based in the states in which the company operates. For a full list of states, please see below. The company is headquartered and based in Indianapolis, Indiana.

About this role: This role will support Topo's team members in delivering high quality accounting support to Topo's customers. In this role, we're looking for a high agency person with a strong understanding of and an interest in startups. This role will become increasingly strategic as the individual grows within Topo.

What You'll Do:

  • Manage monthly financial close and general accounting activities for clients.
  • Manage relationships with external auditors and tax advisors ensuring timely and accurate completion of deliverables.
  • Manage activities of Topo team members to support execution of engagements.
  • Provide support for the budgeting and planning process; work with team on monthly forecast against budget including cash flow projections.
  • Research and provide leadership both internally and to clients regarding all technical accounting questions and updates.

What You'll Need:

  • You're organized and demonstrate a high attention to detail and accuracy.
  • You're a self-starter who can put ideas into action.
  • You love working with numbers and helping people.
  • You have the ability to quickly shift from high-level strategic thinking to tactical execution.
  • 4+ years in public accounting, corporate accounting or finance, or similar experience.
  • Excellent quantitative skills with strong experience in spreadsheet software and familiarity with Quickbooks.
  • Ability to embrace ambiguity, uncertainty, and changing business landscapes.
  • CPA strongly preferred.
What We Value:TRUST

Our team members operate in a high-trust role with customers. Trustworthy team members exhibit: uncompromising integrity, empathy, attention to detail, and the ability to exceed expectations.

OWNERSHIP

Our customers love working with us because we care about the success of their companies as much as they do. Our team members take ownership of the relationship with customers through consistency, responsiveness, and thought partnership.

INTELLECTUAL CURIOSITY

Our customers look to us for guidance on industry standards, recommendations on best practices, and thought leadership. Team members should combine personal experience as well as internal and external resources to be learning machines that will result in strategic insight to the companies we support.

Topo Advisors is an equal-opportunity employer, and we value diversity at our company. We don't discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Candidates must be authorized to work in the United States without the need for sponsorship now or in the future.

Employment Type: FULL_TIME

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