Language and Audio AI - 2026 Fall Co-Op

Posted:
7/16/2026, 9:22:46 AM

Location(s):
Vancouver, British Columbia, Canada ⋅ British Columbia, Canada

Experience Level(s):
Internship

Field(s):
AI & Machine Learning ⋅ Software Engineering

Workplace Type:
On-site

Company Overview

At Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that’s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.

Aperçu de l’entreprise

Chez Motorola Solutions, nous pensons que tout commence par nos employés. Nous sommes une communauté mondiale soudée, unie par la volonté incessante de contribuer à la sécurité des personnes partout dans le monde. Nous concevons et connectons des technologies qui contribuent à protéger les personnes, les biens et les infrastructures. Nos solutions favorisent la collaboration essentielle pour améliorer la sécurité des populations, des écoles, des hôpitaux, des entreprises et, finalement, des nations. Connectez-vous à une carrière qui compte et aidez-nous à bâtir un avenir plus sûr.


Department Overview

Motorola Solutions’ innovations, products and services play essential roles in people’s lives. Our end-to-end suite of software solutions helps our customers answer thousands of emergency calls and text messages, and process video, disparate evidence and records. We are also proud to be industry leaders in video security with solutions installed in more than 120 countries at thousands of customer sites, including school campuses, transportation systems, healthcare centers, public venues, critical infrastructure, prisons, factories, casinos, airports, financial institutions, government facilities, and retailers.

Our products leverage cutting-edge voice technology, language models, natural language understanding, video analytics, and machine learning to enable our customers to focus on what matters while providing faster responses, safer outcomes and greater transparency. The candidate will join a talented team of scientists and developers (located in Chicago, Boston, Vancouver and Krakow) in the Chief Technology Office at Motorola Solutions working on developing AI solutions for our public safety and commercial customers. Our mission is to provide meaningful value to MSI’s customers by developing domain-specific applications and services in the areas of Speech & Audio, Machine Translation, and Natural Language Understanding.

Our AI team is focused on all aspects of 1) Designing, prototyping and developing solutions (e.g. algorithms and architectures for language processing and human-computer interactions), 2) Machine learning training and optimization (e.g. distributed training and inference acceleration) and 3) Data (e.g. tools for data acquisition and annotation – both human and machine-powered, data pipelines and supporting ML infrastructure). And, of course, one of our many toolsets is the exploding field of Large Language Models and all of the engineering and scientific consequences of these exciting new technologies.

Your work will directly impact our customers in the form of products and services that make use of language and video technology. Unlike similar roles in the industry, the result of your work has the potential to impact the entire lifecycle of the public safety workflow impacting people's lives in moments that matter.

We’re excited about the work we are doing in AI. Founded on our many years of public safety experience and knowledge, we know the mission-critical needs of our customers are unique and different from the consumer technologies that leverage AI today.


Job Description

You will join the Language & Audio group where you will be practising machine learning engineering in language and audio processing.  Your work will impact all aspects of the machine learning cycle, from data curation to model training to deployment to monitoring and feedback, and will likewise improve the effectiveness of first responders and other public safety personnel.

Application areas include natural language processing, summarization, and search over public-safety data, redaction, video and case file management, and chat-based interfaces and LLM-enhanced user experiences.  You will work with infrastructure engineers and research scientists to build machine learning products that are informative and responsive, leveraging your collaboration skills as you work with a team to develop reusable components, enabling cooperation between research units and production engineers.

Responsibilities

  • Work under the guidance of a senior researcher to assess machine learning approaches

  • Work across all stages of the machine learning lifecycle, including data curation, model training, deployment, monitoring, and feedback

  • Collaborate with infrastructure engineers and research scientists to build scalable machine learning solutions, ready to be deployed into production

Required Skills

  • Currently enrolled in undergraduate training in a quantitative area such as computer science, physics, mathematics or statistics

  • Strong mathematics background and/or machine learning background

  • Strong written and oral communication skills in English

Desired Skills

  • Experience developing software in an industrial setting

  • Experience with software development using Python, Docker and Kubernetes

  • Experience training and testing machine learning algorithms using a framework such as Tensorflow or PyTorch

  • Experience deploying machine learning solutions in AWS, Azure or GCP

  • Knowledgeable of Machine Learning fundamentals and best practices


Basic Requirements

  • Must be pursuing a minimum of a Bachelor's Degree with a graduation date of December 2026 or later


Travel Requirements

None


Relocation Provided

None


Position Type

Intern



EEO Statement

Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic. 

We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team.

We’re committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete this Reasonable Accommodations Form so we can assist you.

Motorola Solutions adopte, favorise et promeut les principes de diversité, d’équité et d’inclusion. Nous encourageons et accueillons les candidatures de toutes les personnes qualifiées, quelles que soient leur race, origines ethnique, religion ou croyance, orientation sexuelle, identité et expression sexuelle, statut d’anciens combattants ou tout autre statut protégé par la Loi.

Nous sommes fiers de notre culture axée sur les personnes et les communautés, encourageant ainsi chaque Motorolan d’être la version la plus authentique de lui-même dans ses responsabilités afin de tenir la promesse d’un monde plus sécuritaire.

Si vous souhaitez vous joindre à notre communauté mais croyez que vous ne possédez pas toutes les exigences requises pour le poste convoité, nous aimerions tout de même connaître les raisons pour lesquelles vous pensez être un excellent candidat pour notre équipe.

Nous offrons également des mesures d’adaptation pendant toutes les étapes du processus d’embauche afin de favoriser l’inclusion des personnes vivant avec un  handicap physique et/ou mental. Pour demander un aménagement, veuillez remplir ce formulaire d'aménagement raisonnable afin que nous puissions vous aider.