AI Manager - Language Models (Canada Remote)

Motorola Solutions

Vancouver

Remote

CAD 180,000 - 200,000

Full time

4 days ago
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Job summary

Motorola Solutions in Vancouver seeks an AI Manager Language Models to guide LLM ML solutions across the full lifecycle, from data curation to deployment, focusing on public safety applications. You will bridge research and production, delivering dependable ML systems for first responders and enterprise users.

You will lead a cross-functional team of engineers and researchers, develop reusable components, and ensure scalable, reliable ML products in a safety-critical environment.

Qualifications

  • 8+ years of combined experience as a machine learning researcher and/or a post-graduate degree in a quantitative science or engineering.
  • Including 2+ years of direct management experience leading technical teams.
  • Previous experience managing an LLM-based solution from inception to market.
  • Previous experience managing cloud-based software engineering.
  • Strong written and oral communication skills in English.

Responsibilities

  • Lead the development of large language model driven machine learning solutions.
  • Work across all stages of the machine learning lifecycle, including data curation, model training, deployment, monitoring, evaluation, and feedback.
  • Apply your knowledge to public safety application areas such as 911 call handling, dispatch, and case management, and enterprise applications in retail, commercial security, and infrastructure management.
  • Collaborate with infrastructure engineers and research scientists to build scalable machine learning products.
  • Create reusable components to support integration between research teams and production engineering.

Skills

Machine Learning experience
Management experience
LLM project experience
Cloud software engineering
English communication

Education

Bachelor's degree or higher in quantitative field

Job description

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

You will join the Language & Audio group where you will be leading machine learning engineering of our Large Language Models and their harnesses. 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 enterprise and public-safety data, redaction, video transcription 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.

Job Description

We are seeking an AI Manager Language Models to guide the development and deployment of Large Language Model (LLM) machine learning solutions. In this role, you will bridge AI research and production engineering building reliable ML systems with an immediate focus on public safety application areas, including emergency 911 call handling, dispatch automation, and case management. You will support a collaborative team across the complete ML lifecycle, transforming state-of-the-art language technology into dependable, real-world solutions that assist first responders and safety professionals in public and enterprise settings.

Responsibilities
  • Lead the development of large language model driven machine learning solutions
  • Work across all stages of the machine learning lifecycle, including data curation, model training, deployment, monitoring, evaluation, and feedback.
  • Apply your knowledge to public safety application areas such as 911 call handling, dispatch, and case management, and enterprise applications in retail, commercial security, and infrastructure management
  • Collaborate with infrastructure engineers and research scientists to build scalable machine learning products
  • Create reusable components to support integration between research teams and production engineering
Required Skills
  • 8+ years of combined experience as a machine learning researcher and/or a post-graduate degree in a quantitative science or engineering
  • Including 2+ years of direct management experience leading technical teams.
  • Previous experience managing an LLM-based solution from inception to market
  • Previous experience managing cloud-based software engineering
  • Strong written and oral communication skills in English
Desired Skills
  • Experience developing software for public safety (police, fire, paramedic and other first responders) or enterprise (retail, farming, heavy industry)
  • Experience managing engineers and researchers, and working horizontally with UI/UX and product management
  • Experience incorporating UX guidance in LLM-driven design patterns, test patterns and training methodologies
  • Knowledgeable of Machine Learning fundamentals and best practices
Target Base Salary Range

$180,000 CAD - $200,000 CAD

Basic Requirements

Bachelors degree with 8+ years of machine learning experience AND 2+ years of direct management experience

Travel Requirements

None

Relocation Provided

None

Position Type

Experienced

Referral Payment Plan

No

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.

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.

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