Machine Learning Engineer Intern Jobs in Waterloo, ON

We get up every day, roll up our sleeves and build a better world -- together. At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves?

Ford of Canada's operations include a national headquarters, three vehicle assembly and engine manufacturing plants, three parts distribution centres, and three Connectivity and Innovation centres. Ford employs approximately 7,000 people in Canada, while an additional 18,000 people are employees in the more than 400 Ford and Ford-Lincoln dealerships across the country. For more information, please visit www.careers.ford.com 

Ford's Electric Vehicles, Digital and Design (EVDD) team is charged with delivering the company's vision of a fully electric transportation future. EVDD is customer-obsessed, entrepreneurial, and data-driven and is dedicated to delivering industry-leading customer experience for electric vehicle buyers and owners. You'll join an agile team of doers pioneering our EV future by working collaboratively, staying focused on only what matters, and delivering excellence day in and day out. Join us to make positive change by helping build a better world where every person is free to move and pursue their dreams.
 

You'll have... 

Education: Bachelor's degree in Computer Science, Engineering, or a related technical field.(Successful candidates will be required to provide proof of completion for the highest level of education attained. If the diploma/degree was obtained from a school outside of Canada, an Education Credential Assessment report showing Canadian equivalency is also required).

Experience:

• 5+ years' experience in Android development experience with Kotlin and modern Android frameworks.
• 2+ years' experience understanding of the Android audio subsystem, including audio focus, capture, routing, media/session behavior, and troubleshooting.
• Proven experience with modern application development practices: clean architecture, modularization, testing, observability, CI/CD, and performance optimization.
• Understanding of embedded AI, on-device inference, Small Language Models, or edge Machine Learning deployments.

Even better, you may have...

• Proven communication skills and comfort working in cross-functional product and platform teams.
• Ability to work across software layers and debug issues in complex integrated systems.
• Experience building voice applications, conversational interfaces, or speech-enabled products.
• Experience with Android Automotive OS, embedded Android, or infotainment systems.
• Background in wake word, ASR, TTS, dialog systems, or multimodal assistant experiences.
• Experience optimizing models or inference pipelines for constrained hardware environments.
• Familiarity with automotive, real-time, or safety-conscious product development.
• Experience shipping consumer-facing products at scale.

This posting is for an existing vacancy within our team.

The expected  annual pay range for this position is $105,000.00 - $155,000.00.

Our focus is to build the best team. If you think you can bring value to Ford, love to collaborate, prioritize and aim to deliver excellence in everything you do, we encourage you to apply!

We thank all candidates for their interest, but only those selected for an interview will be contacted.
Ford of Canada is an Equal Opportunity Employer and is committed to a culturally diverse workforce.

 Accommodations for applicants with disabilities throughout the recruitment, selection and/or assessment processes, where needed, are available upon request. Please inform Human Resources of the nature of any accommodation(s) that you may require.

Candidates for this position must be legally entitled to work in Canada. Ford Motor Company of Canada, Limited, does not sponsor work permit applications.

This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. 

#LI-Hybrid
#LI-SHERMAN
 

What You'll Do

The primary responsibilities for this position include but are not limited to:

• Build and optimize Android applications and services for in-vehicle infotainment platforms.
• Develop voice-driven features that integrate speech, audio, conversational AI, and agentic workflows.
• Work with Android audio pipelines, media, microphone input, routing, focus, and low-latency audio behavior.
• Integrate and optimize embedded AI/SLM capabilities for on-device or hybrid vehicle experiences.
• Design and implement modern, maintainable app architectures using current Android development best practices.
• Partner with product, UX, platform, systems, and AI teams to deliver intuitive voice experiences in production vehicles.
• Debug complex issues across app, framework, audio, connectivity, and embedded environments.
• Help define technical direction, engineering standards, and scalable patterns for future capabilities.