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Embedded Machine Learning Internship Jobs in Brunswick, OH

IC Automation

Mechanical Engineer

Solon, OH · On-site

... machine design experience (entry-level candidates with strong internships considered ... Adaptability * Continuous learning Performance Expectations * Deliver high-quality mechanical ...

IC Automation

Mechanical Engineer

Solon, OH

... machine design experience (entry-level candidates with strong internships considered ... Adaptability * Continuous learning Performance Expectations * Deliver high-quality mechanical ...

IC Automation

Mechanical Engineer

Solon, OH · On-site

... machine design experience (entry-level candidates with strong internships considered ... Adaptability * Continuous learning Performance Expectations * Deliver high-quality mechanical ...

Knorr-Bremse

Buyer 1-3, Machining & Forging

Avon, OH · On-site

Skills: * High learning agility with a strong interest in procurement, supplier management ... Co-op, internship, or academic project experience in Purchasing, Supply Chain, Manufacturing ...

OGS Industries

Estimating Engineer Co-Op

Akron, OH · On-site

Gather and analyze process steps, labor content, machine cycle times, setup times, and material ... Prior internship, co-op, shop, or manufacturing experience is a plus. Learning Opportunities * Gain ...

BWXT

(DOD Skillbridge) Quality Intern

Euclid, OH · On-site

Internship will be 4 - 20 weeks long and can only commence within 180 days before leaving active ... Familiarity with manufacturing processes such as machining - milling, turning, grinding, and ...

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All JobsEmbedded Machine Learning JobsEmbedded Machine Learning Internship JobsEmbedded Machine Learning Internship Jobs in Brunswick, OH

Embedded Machine Learning Internship information

See Brunswick, OH salary details

$22.5K

$37.6K

$77.8K

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

As of Aug 6, 2026, the average yearly pay for embedded machine learning internship in Brunswick, OH is $37,626.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,700.00 and $40,600.00 per year, depending on experience, location, and employer.

What is an embedded machine learning internship?

An Embedded Machine Learning Internship is a temporary position designed for students or recent graduates to gain hands-on experience in developing and deploying machine learning algorithms on embedded systems. These internships typically involve working with hardware such as microcontrollers, sensors, or edge devices, and using specialized tools to optimize machine learning models for low-power and resource-constrained environments. Interns collaborate with engineers and data scientists to create efficient, real-world AI solutions that run directly on devices rather than relying on cloud computing. This role helps bridge the gap between theoretical machine learning concepts and practical implementation on embedded platforms.

What are some typical projects or tasks I might work on during an embedded machine learning internship?

During an Embedded Machine Learning Internship, you can expect to work on projects such as optimizing machine learning models to run efficiently on hardware with limited resources, integrating AI algorithms into embedded systems (like microcontrollers or IoT devices), and performing real-time data processing. You'll likely collaborate closely with software engineers and hardware designers to test models on physical devices, debug performance issues, and contribute to documentation. These experiences provide practical exposure to the challenges of deploying AI in real-world, resource-constrained environments and help build skills valuable for a future career in embedded AI.

What are the key skills and qualifications needed to thrive as an embedded machine learning intern, and why are they important?

To thrive as an Embedded Machine Learning Intern, you need a background in computer science, electrical engineering, or a related field with strong programming skills in C/C++ and Python, as well as foundational knowledge of machine learning algorithms. Experience with embedded systems development tools (such as ARM Cortex, Raspberry Pi, or Arduino), version control systems, and familiarity with ML frameworks like TensorFlow Lite or Edge Impulse is often required. Analytical thinking, problem-solving ability, and effective teamwork are vital soft skills for success in this role. These skills and qualities are crucial for efficiently developing, optimizing, and deploying machine learning solutions on resource-constrained embedded platforms.
What cities near Brunswick, OH are hiring for Embedded Machine Learning Internship jobs? Cities near Brunswick, OH with the most Embedded Machine Learning Internship job openings:
Embedded Machine Learning Internship jobs near you
Infographic showing various Embedded Machine Learning Internship job openings in Brunswick, OH as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $37,626 per year, or $18.1 per hour.

AI Solutions Engineer - ERP Systems

Federal Reserve Bank of Richmond

Cleveland, OH • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 22 days ago

Job description

CompanyFederal Reserve Bank of RichmondWhen you join the Federal Reserve-the nation's central bank-you'll play a key role, collaborating with a dynamic and diverse team of mission-driven professionals to strengthen and protect our economy and our communities.
Bring your passion and expertise, and we'll provide the opportunities that will challenge you and propel your growth-along with a wide range of benefits and perks that support your health, wealth, and life. In addition to competitive compensation, we offer a comprehensive benefits package that includes tuition assistance, generous paid time off, top-notch health care benefits, child and family care leave, professional development opportunities, a 401(k) match, pension, and more. All brought together in a flexible work environment where you can truly find balance.
Onsite presence is required.

About the Opportunity

The Enterprise Resources Planning department has an immediate opening for an AI Solutions Engineer, reporting to Senior Manager - Product Manager.

The Enterprise Resource Planning (ERP) Support Office seeks an AI Solutions Engineer with Cloud experience to bring AI innovation across our enterprise while building the Platform-as-a-Service (PaaS) foundation that enables it. This is a ground-floor opportunity to be a part of driving how AI transforms HR, finance, and procurement-while establishing the cloud platform capabilities needed to scale those solutions.

You'll begin by deploying and configuring native AI features within ERP vendor platforms (intelligent agents, assistants, automation), then progressively build the platform capabilities needed for custom AI applications, advanced integrations, and end-to-end automation solutions that connect across the enterprise. Your cloud engineering experience will be instrumental in developing deployment pipelines and engineering processes as we mature our PaaS capabilities.

This is a fully onsite position located in Richmond, Boston and Kansas District location.

What You Will Do:

  • Translate business and operational challenges into practical AI opportunities and technical solutions

  • Deploy and configure AI capabilities in ERP platforms and products such as Workday and SAP Ariba (AI agents, assistants, automation features)

  • Build custom AI solutions including intelligent agents, chatbots and automation leveraging Gen AI and LLMs as platform maturity increases

  • Define and document technical specifications for deploying ERP and AI solutions and capabilities.

  • Lead AI projects from concept to production, ensuring business alignment and measurable ROI

  • Enable PaaS environments within Workday and SAP to support AI deployments and future custom development

  • Help develop deployment pipelines and engineering processes as we establish PaaS services, bringing your cloud engineering expertise

  • Configure and integrate platform services, security, and governance with corporate cloud computing services and other business systems

  • Assess emerging technologies and recommend adoption approaches, contributing to the ERP technology roadmap

  • Evaluate vendor AI capabilities versus custom solutions based on requirements and total cost of ownership

  • Champion AI literacy through training, demonstrations, and knowledge sharing across the organization

  • Provide production support and knowledge training for solutions you deploy

Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or related field

  • 10+ years in IT/software engineering with hands-on experience in corporate/industry environments

  • Proven track record deploying AI solutions to production in corporate settings (traditional AI, Gen AI, or agentic AI)

  • 3+ years with enterprise cloud platforms (Workday, SAP, Oracle, Salesforce, or similar) in technical or configuration capacity

  • Strong communication skills to explain complex or technical concepts to non-technical stakeholders, especially with regards to AI solutions

  • Experience with deployment pipelines, CI/CD, or DevOps practices

  • Hands-on experience deploying AI/ML solutions including Machine Learning, Gen AI, LLMs, AI agents, or chatbots to production

  • Platform configuration expertise with enterprise SaaS/PaaS systems or experience with IaaS environments

  • Integration skills: RESTful APIs, webhooks, data flows, authentication (OAuth, SAML)

  • Data management: SQL, data pipelines, data quality assessment

  • Programming proficiency in Python

Preferred Qualifications

  • Hands-on experience with Workday AI, SAP AI capabilities, or similar vendor-embedded AI

  • Knowledge or experience with Workday Extend, SAP BTP, or similar platforms for custom development

  • Process workflow automation knowledge/experience

  • DevOps/MLOps experience building CI/CD pipelines and automation frameworks

  • Cloud platform experience (AWS, Azure, GCP) and AI/ML services and frameworks

  • Domain knowledge in HR, finance, or procurement

  • AI/ML or cloud certifications

Discover the Reason Why So Many People Love It Here!

When you join the Richmond Fed, not only will you find a challenging and purposeful career, you'll also have access to a wide range of benefits and perks that support your health and wealth, including:

  • Great medical benefits

  • Pension and 401(k) with employer match

  • Paid time off

  • Tuition reimbursement

  • Paid volunteer leave

  • Onsite amenities that make working here fun!

Other Requirements and Considerations:

  • Candidates should review the Bank's Employee Code of Conduct to ensure compliance with conflict of interest rules and personal investment restrictions.

  • If you need assistance or an accommodation due to a disability, please notify rich.recruit@rich.frb.org.

  • Sponsorship is not available for this role. The selected candidate will be subject to a government security investigation and must meet eligibility requirements for access to classified information. Eligibility for this specific position requires U.S. Citizenship.

  • The hiring salary range is $133,000 - $183,000 annually.

  • For candidates located outside of Richmond, VA, the listed hiring and salary ranges may be adjusted based on your geographic location.

  • Salary offered will be based on the job responsibilities and the individual's knowledge, skills, and experience as defined in the job qualifications.

  • Applications are reviewed on a rolling basis.

  • Always verify and apply to jobs on Federal Reserve System Careers or through verified Federal Reserve Bank social media channels.

Full Time / Part TimeFull timeRegular / TemporaryRegularJob Exempt (Yes / No)YesJob CategoryInformation Technology Family GroupWork ShiftFirst (United States of America)

The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.

Always verify and apply to jobs on Federal Reserve System Careers (https://rb.wd5.myworkdayjobs.com/FRS) or through verified Federal Reserve Bank social media channels.

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