132 Neural Networks jobs in Canada

Job Description

We're seeking top-notch engineers to join our team. As part of our group, you'll collaborate with hardware and software engineers to design, develop, and optimize software for our chip, making AI inference accessible to everyone. You'll excel in identifying and resolving functional/performance bottlenecks in complex software and hardware designs.

We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model optimization pipeline. If you thrive on pushing the boundaries of AI technology, this role is for you!

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field
• 5+ years of experience, with at least 2 years in both deep learning and software engineering
• Proficiency in deep learning frameworks like Tensorflow and/or PyTorch
• Experience with CNNs, LSTMs/RNNs, Transformers
• Strong math skills and Python proficiency
• Experience with C/C++

Preferred Skills & Experience:

• Master's or PhD in Computer Science, Engineering, or related field
• Experience in embedded or low-level programming
• Knowledge of CUDA/OpenGL
• Experience deploying neural networks in production
• Familiarity with model compression techniques like quantization, pruning, etc.

These are permanent full time remote positions.

Job Description

We're seeking top-notch engineers to join our team. As part of our group, you'll collaborate with hardware and software engineers to design, develop, and optimize software for our chip, making AI inference accessible to everyone. You'll excel in identifying and resolving functional/performance bottlenecks in complex software and hardware designs.

We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model optimization pipeline. If you thrive on pushing the boundaries of AI technology, this role is for you!

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field
• 5+ years of experience, with at least 2 years in both deep learning and software engineering
• Proficiency in deep learning frameworks like Tensorflow and/or PyTorch
• Experience with CNNs, LSTMs/RNNs, Transformers
• Strong math skills and Python proficiency
• Experience with C/C++

Preferred Skills & Experience:

• Master's or PhD in Computer Science, Engineering, or related field
• Experience in embedded or low-level programming
• Knowledge of CUDA/OpenGL
• Experience deploying neural networks in production
• Familiarity with model compression techniques like quantization, pruning, etc.

These are permanent full time remote positions.

Job Description

Owl.co empowers insurers to combat illegitimate claims on a large scale while eliminating human bias from the process. Our clients are top insurance companies across North America, achieving remarkable results through our AI-powered, evidence-based platform. We are on a mission to integrate state-of-the-art ML and NLP methods to transform this traditionally manual activity into a fair process. We are well-funded and have engineering offices in New York City, Toronto, and Vancouver.

In this position, you'll collaborate closely with cross-functional teams to design, implement, and optimize systems that are reshaping how insurers detect and handle illegitimate claims.

This role is on-site in our Yaletown, Vancouver office.

Responsibilities:

• Develop algorithms based on state-of-the-art machine learning and neural network methodologies.
• Train, evaluate and deploy DL models that enable Owl products.
• Conduct and collaborate on research projects that advance product capabilities.

Requirements

Minimum Qualifications:

• Bachelor's degree in Computer Science or relevant technical field.
• PhD in computer vision and/or machine learning or related areas.
• 2+ years of industry, academic, or government lab experience in computer vision and/or machine learning.
• Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
• Experience in utilizing Generative AI technology and model finetuning (instruct tuning, SFT, RLHF, etc.).
• Experience communicating research for public audiences or peers.

Preferred Qualifications:

• First-authored publications at peer-reviewed conferences (e.g. CVPR. ECCV, ICCV, NeurIPS, and SIGGRAPH).
• 4+ year(s) of work experience in an industry, university, or government lab.

Benefits

Why join Owl?

• Industry Leaders : Our technical leadership comes from Meta, Microsoft, X, and Goldman Sachs, bringing world-class expertise to our agile team.
• Market Leadershi p: We hold the largest market share in our space, offering a proven ROI and maintaining a 100% customer retention rate , with renewals consistently doubling their previous terms.
• Lean & Impact Driven Team : Our small, nimble team makes swift decisions and encourages direct communication and innovation through a flat organizational structure. You’ll make real, meaningful contributions right from the start.
• Established Product-Market Fit : AI-Driven Product that helps shape an AI-powered enterprise solution for insurance companies across the US and Canada.

• Healthcare benefits: we cover 100% of the premiums for you and 70% for your family (medical, dental & vision)

Job Description

We're seeking top-notch engineers to join our team. As part of our group, you'll collaborate with hardware and software engineers to design, develop, and optimize software for our chip, making AI inference accessible to everyone. You'll excel in identifying and resolving functional/performance bottlenecks in complex software and hardware designs.

We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model optimization pipeline. If you thrive on pushing the boundaries of AI technology, this role is for you!

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field
• 5+ years of experience, with at least 2 years in both deep learning and software engineering
• Proficiency in deep learning frameworks like Tensorflow and/or PyTorch
• Experience with CNNs, LSTMs/RNNs, Transformers
• Strong math skills and Python proficiency
• Experience with C/C++

Preferred Skills & Experience:

• Master's or PhD in Computer Science, Engineering, or related field
• Experience in embedded or low-level programming
• Knowledge of CUDA/OpenGL
• Experience deploying neural networks in production
• Familiarity with model compression techniques like quantization, pruning, etc.

These are permanent full time remote positions.

Job Description

We're seeking top-notch engineers to join our team. As part of our group, you'll collaborate with hardware and software engineers to design, develop, and optimize software for our chip, making AI inference accessible to everyone. You'll excel in identifying and resolving functional/performance bottlenecks in complex software and hardware designs.

We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model optimization pipeline. If you thrive on pushing the boundaries of AI technology, this role is for you!

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field
• 5+ years of experience, with at least 2 years in both deep learning and software engineering
• Proficiency in deep learning frameworks like Tensorflow and/or PyTorch
• Experience with CNNs, LSTMs/RNNs, Transformers
• Strong math skills and Python proficiency
• Experience with C/C++

Preferred Skills & Experience:

• Master's or PhD in Computer Science, Engineering, or related field
• Experience in embedded or low-level programming
• Knowledge of CUDA/OpenGL
• Experience deploying neural networks in production
• Familiarity with model compression techniques like quantization, pruning, etc.

These are permanent full time remote positions.

Job Description

We're seeking top-notch engineers to join our team. As part of our group, you'll collaborate with hardware and software engineers to design, develop, and optimize software for our chip, making AI inference accessible to everyone. You'll excel in identifying and resolving functional/performance bottlenecks in complex software and hardware designs.

We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model optimization pipeline. If you thrive on pushing the boundaries of AI technology, this role is for you!

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field
• 5+ years of experience, with at least 2 years in both deep learning and software engineering
• Proficiency in deep learning frameworks like Tensorflow and/or PyTorch
• Experience with CNNs, LSTMs/RNNs, Transformers
• Strong math skills and Python proficiency
• Experience with C/C++

Preferred Skills & Experience:

• Master's or PhD in Computer Science, Engineering, or related field
• Experience in embedded or low-level programming
• Knowledge of CUDA/OpenGL
• Experience deploying neural networks in production
• Familiarity with model compression techniques like quantization, pruning, etc.

These are permanent full time remote positions.

Job Description

Owl.co empowers insurers to combat illegitimate claims on a large scale while eliminating human bias from the process. Our clients are top insurance companies across North America, achieving remarkable results through our AI-powered, evidence-based platform. We are on a mission to integrate state-of-the-art ML and NLP methods to transform this traditionally manual activity into a fair process. We are well-funded and have engineering offices in New York City, Toronto, and Vancouver.

In this position, you'll collaborate closely with cross-functional teams to design, implement, and optimize systems that are reshaping how insurers detect and handle illegitimate claims.

This role is on-site in our downtown Toronto office.

Responsibilities:

• Develop algorithms based on state-of-the-art machine learning and neural network methodologies.
• Train, evaluate and deploy DL models that enable Owl products.
• Conduct and collaborate on research projects that advance product capabilities.

Requirements

Minimum Qualifications:

• Bachelor's degree in Computer Science or relevant technical field.
• PhD in computer vision and/or machine learning or related areas.
• 2+ years of industry, academic, or government lab experience in computer vision and/or machine learning.
• Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
• Experience in utilizing Generative AI technology and model finetuning (instruct tuning, SFT, RLHF, etc.).
• Experience communicating research for public audiences or peers.

Preferred Qualifications:

• First-authored publications at peer-reviewed conferences (e.g. CVPR. ECCV, ICCV, NeurIPS, and SIGGRAPH).
• 4+ year(s) of work experience in an industry, university, or government lab.

Benefits

Why join Owl?

• Industry Leaders : Our technical leadership comes from Meta, Microsoft, X, and Goldman Sachs, bringing world-class expertise to our agile team.

• Market Leadershi p: We hold the largest market share in our space, offering a proven ROI and maintaining a 100% customer retention rate , with renewals consistently doubling their previous terms.

• Lean & Impact Driven Team : Our small, nimble team makes swift decisions and encourages direct communication and innovation through a flat organizational structure. You’ll make real, meaningful contributions right from the start.

• Established Product-Market Fit : AI-Driven Product that helps shape an AI-powered enterprise solution for insurance companies across the US and Canada.

• Healthcare benefits: we cover 100% of the premiums for you and 70% for your family (medical, dental & vision)

Huawei Canada has an immediate permanent opening for a Deep Learning Compiler Engineer.

About the team:

Initially founded in 1991 as Huawei's ASIC Design Center, the IC Lab is a leading global fabless semiconductor lab. This lab delivers trusted, cutting-edge semiconductor products and services for smart devices, contributing to smart home and mobility solutions. The local team in Canada specializes in semiconductors, and chipset solutions.

About the job:

• Create customer value by developing new capabilities to improve inference times, optimize memory usage, and other state-of-the-art algorithms. You will use your expertise to drive optimization at both the model and system level.

• Design, develop, and maintain optimized code in C++ and Python to implement and enhance deep learning inference systems. You will contribute to both low-level performance-critical components and appropriate high-level abstractions that define system behavior.

• Drive performance improvements by integrating and optimizing deep learning systems for custom hardware accelerators. Your work will enable significant gains in speed, efficiency, and real-time performance for wireless applications.

• Participate actively in code reviews, providing constructive feedback and ensuring that the codebase remains efficient, scalable, and conducive to high-velocity development. This is a collaborative environment where you’ll both share knowledge and grow from the feedback of your peers.

• Work closely with a team of experienced engineers who will offer mentorship and guidance, allowing you to further refine your skills while contributing to challenging and innovative projects.

Job Description

Salary: $28-$5 per hour

LDS - Learn. Develop. Succeed. is a growing, innovative, research-based, educational charity serving children, youth, and adults with diagnosed or suspected learning differences.

LDS offers individualized, evidence-based, and technology-embracing programs that target student-specific learning needs. Our growing programs and services operate throughout BC live online, from our Learning Centres in East Vancouver and North Vancouver,at in-school locations, and in our mobile classroom.

Read more about our mission and impact here:

We are a diverse group of inspired, dedicated and caring professionals making a significant impact in the lives of the learners, families and the communities we serve. We seek new skills, energy, and talent to grow our team, deepen our impact, and advance our mission.

Purpose of Position

The AI Product Development Assistant is a member of our RISE Next Generation AI team. The goal of this game changing initiative is to develop and implement our next-generation LDS RISE platform that effectively incorporates innovative technologies, including artificial intelligence and advanced information systems to materially enhance our student experience and outcomes, our instructor teaching effectiveness and capacity, our organization efficiencies, and LDS scaling to support significantly more learners.

The AI Product Development Assistant provides support in the assessment, design, development, testing implementation and management of new AI-based tools used by our team and the learners and families we serve.

Principal Roles and Responsibilities

• Assist with project planning and coordination for the NextGen program (e.g., task tracking, meeting notes, timelines).

• Assist with the development and testing of LLM-based agent workflows (e.g., data classification, matching algorithms)

• Support structured data imports, database queries, and organizing data for use in our tools

• Collect and synthesize feedback from team members and stakeholders to inform iterative development.

• Draft and refine user-facing documentation and internal process notes, including schemes, API integrations, and sync logic
  

• Perform quality assurance testing on frontend/backend features.

• Support structured data pipeline tasks (e.g., cleaning, mapping, validating imported data)

• Contribute to research and prototyping of AI/EdTech tools relevant to our roadmapp
  

• Support the team with general events and outreach as required.

Competencies

• Outstanding software development skills
• Strong organizational and time management skills
• Excellent communication (written and oral) and interpersonal skills
• Strives in a collaborative, supportive team environment
• Self-motivated and self-directed
• Experience in an engineering or science discipline, ideally with knowledge relating to artificial intelligence, machine learning, software and hardware development, optoelectronics, and mechanical design
• Experience working on research projects and demonstrated ability to iteratively adapt and evolve research methodology
  

Technical Experience

• Strong track record with Python and JavaScript (especially for AI and web app development)
  
• Experience working with APIs (RESTful), especially for integrating 3rd-party tools
  
• Experience with PostgreSQL or SQLite, including querying and light data wrangling
  
• Exposure to large language model (LLM) APIs (e.g., OpenAI, Claude, etc.)
  
• Familiarity with collaborative development environments (e.g., GitHub)

Optional but strong asset to have experience with:

• Django (for backend web development)
  
• React and Next.js (frontend)
  
• Prompt engineering or LLM-based workflow design
  

Qualifications

• Senior years studying in or completion of a universityundergraduate degree in engineering, computer science or a related field

Requirements

• Criminal record check with vulnerable sector screening

• Eligibility to work in Canada
• Strong values alignment with our charitable mission

Start date: As soon as possible

End date: open ended.

Reports to: Senior Manager, Technology

Hours of work: 40 paid hours per week. The general schedule could be 8:30am 4:30pm, Monday to Friday.

Remuneration and Benefits: Hourly wage rate of 28-35 per hour, commensurate with education and experience

• 4% vacation pay

• Neuroaffirming and inclusive workplace

• Values-based organization with collaborative peers with a wide range of backgrounds and talents

• Inclusive culture and innovative workplace with opportunity for new approaches and growth

Location: LDS East Vancouver Learning Centre, located at Rupert and East Broadway. Easily accessible by SkyTrain or bus.

Job Type: Full-time, co-op (or equivalent) role

Equity: LDS is committed to employment equity and believes that a workforce that reflects the diversity of the communities we serve strengthens our ability to achieve our mission. We strongly encourage applicants of all genders, ethnic and cultural backgrounds, sexual orientations, abilities, and with a range of life experiences to apply.

Accessibility: Please note, LDS main office space is located on the ground floor of the building.

How to apply: Please apply directly through our careers page

The position will be open until filled. Applications will be considered as received. Only shortlisted candidates will be contacted. Thank you for your interest. We look forward to hearing from you.