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Ai Jobs in Waterloo, ON

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Ai • waterloo on

Last updated: 5 days ago
Software Developer III, AI / ML, Google Cloud AI

Software Developer III, AI / ML, Google Cloud AI

GoogleWaterloo, ON, United States
Full-time
Bachelor's degree or equivalent practical experience.ML infrastructure, or specialization in another ML field.Master's degree or PhD in Computer Science or related technical fields.Experience devel...Show moreLast updated: 5 days ago
AI Platform Engineer

AI Platform Engineer

FaireKitchener, ON, United States
CA$125,500.00–CA$172,500.00 yearly
Full-time
Faire is an online wholesale marketplace built on the belief that the future is local - independent retailers around the globe are doing more revenue than Walmart and Amazon combined, but individua...Show moreLast updated: 7 days ago
AI Practice Lead

AI Practice Lead

AequilibriumOntario, Canada
CA$125,000.00–CA$175,000.00 yearly
Full-time
We are seeking a highly experienced AI Practice Lead to spearhead Aequilibrium's (AEQ) AI strategy, establish and oversee the AI Center of Excellence (CoE), and drive innovation across internal and...Show moreLast updated: 30+ days ago
Architect - AI System

Architect - AI System

Huawei Technologies Canada Co., Ltd.Waterloo, ON, United States
Permanent
Our team has an immediate permanent opening for an Architect.The Intelligent Complex Systems Team, currently a part of the Waterloo Research Centre, examines recent advancements in artificial intel...Show moreLast updated: 5 days ago
  • Promoted
AI Training Chemistry - AI Trainer

AI Training Chemistry - AI Trainer

DataAnnotationKitchener, ON, Canada
CA$55.48 hourly
Full-time +1
We are looking for an •advanced chemist • to join our team to train AI models.You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of e...Show moreLast updated: 9 days ago
Manager - AI

Manager - AI

TELUSOntario, Canada
Full-time
Join our team and what we'll accomplish together.The Data Strategy & Enablement (DSE) team is on a continuous journey towards helping TELUS become a world-class leader in Artificial Intelligence pr...Show moreLast updated: 30+ days ago
  • Promoted
Senior AI Product Designer

Senior AI Product Designer

ScispotOntario, Canada
Full-time
We’re a Y Combinator-backed startup on a mission to turn every lab into an AI power house.Our multi-agent platform integrates AI agents into lab operations. Our main AI agent, Scibot, helps automate...Show moreLast updated: 30+ days ago
  • Promoted
AI Trainer for Biology (College Degree Required)

AI Trainer for Biology (College Degree Required)

AlignerrKitchener, ON, Canada
Full-time
AI models by creating high-quality data in their field of expertise to build the future of Generative AI.Alignerr is operated by Labelbox. Labelbox is the leading data-centric AI platform for buildi...Show moreLast updated: 5 days ago
AI Product Strategy Director

AI Product Strategy Director

D2LKitchener, Ontario, Remote – Canada, Remote – USA
CA$132,500.00–CA$201,600.00 yearly
Remote
D2L is a cloud company that is modernizing education and building the Future of Work.The old models of teaching and learning are in the midst of the largest transformation in history, and D2L is at...Show moreLast updated: 30+ days ago
Software Developer III, AI / ML, Google Cloud AI

Software Developer III, AI / ML, Google Cloud AI

GoogleWaterloo, ON, United States
5 days ago
Job type
  • Full-time
Job description

Minimum qualifications :

  • Bachelor's degree or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
  • 2 years of experience with data structures or algorithms.
  • 1 year of experience with one or more of the following : Speech / audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
  • 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications :

  • Master's degree or PhD in Computer Science or related technical fields.
  • Experience developing accessible technologies.
  • About the job

    Google's software developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for software developers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software developer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our software developers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

    The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud's mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.

    Responsibilities

  • Write product or system development code.
  • Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)
  • Contribute to existing documentation or educational content and adapt content based on product / program updates and user feedback.
  • Triage product or system issues and debug / track / resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
  • Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.