408 Neural Networks jobs in Canada

Job Description

Salary: $55,000 - $0,000 per year

LDS - Learn. Develop. Succeed. is a growing, innovative, research-based, educational charity serving children, youth,andadults withdiagnosed or suspected learning differences.

We offer individualized, evidence-based, and technology-embracing programs tailored to student-specific learning needs. Our services are offered live online across BC, at our Learning Centres in East Vancouver and North Vancouver, in schools, and through our mobile classroom.

Learn more about our mission andimpacthere:

We are a diverse team of dedicated, caring professionals making a real difference in the lives of learners, families, and communities. We welcome new skills, energy, and talent to grow our team, deepen our impact, and advance our mission.

Purpose of Position

The AI Development Manager is a key member of our RISE Next Generation AI team. The goal of this game changing initiative is to develop and implement our next-generation PEAK platform, which integrates advanced technologiesincluding artificial intelligence and modern information systemsto:

• Enhance student learning experiences and outcomes
• Increase instructor effectiveness and capacity
• Strengthen organizational efficiency
• Expand LDSs ability to serve significantly more learners

The AI Development Manager provides support in the assessment, design, development, testing implementation and management of newAI-basedtoolsused by our team and thelearners and families we serve.

Note: this role was previously posted as as an AI Development Assistant. With organizational growth, we have reshaped the position. Applicants to the prior posting are encouraged to re-apply if they meet the updated qualifications

Principal Roles and Responsibilities

• Develop, test, and maintain our full-stack platform
• Collect and synthesize feedback from staff and stakeholders to guide iterative development
• Build Machine Learning based algorithms and LLM workflows (e.g. data classification, matching algorithms)
• Support structured data imports, database queries, organization, and validation of data
• Perform quality assurance testing on frontend/backend features.
• Draft and refine user-facing documentation and internal processnotes, including schemes, API integrations, and sync logic
• Contribute to research and prototyping of AI/EdTech tools relevant to our roadmap
• Support the team with general eventsandoutreach asrequired.

Competencies

• 2-4 years of proven software development experience
• Demonstrated strong organizational and time management skills
• Excellent written, verbal, and interpersonal communication
• Collaborative team orientation with a supportive approach
• Self-motivated and able to work independently
• Background in engineering or science, ideally with exposure to AI, machine learning, or related disciplines
• Experience working on research projects with iterative, adaptive methodology

Technical Experience

• Proficiency in Python and JavaScript (AI and web app development): specifically, Django(for backend web development), ReactandNext.js (frontend)
• Experience with RESTful APIs and third-party integrations
• Database experience (PostgreSQL or SQLite), including queries and light data wrangling
• Familiarity with large language model APIs (e.g., OpenAI, Claude)
• Strong experience using collaborative development environments (e.g., GitHub)
• Prompt engineering or LLM-based workflow design

Qualifications **please clearly state how you meet these minimum qualifications

• Undergraduate degree in computer science, engineering, or a related field
• 2-4 years of directly related work experience

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:Ongoing

Reports to:Senior Manager,Technology

Hours of work:40paidhours per week.The generalschedule could be8:30am 5:00pm, Monday to Friday, or similar.

Remunerationand Benefits: Salary range of 55-70,000 per annum, based on 40 working hours, commensuratewitheducationand experience

• At least 4% paid vacation
• Neuroaffirmingand inclusive workplace
• Values-based organization with collaborative peers with a wide range of backgrounds and talents
• Inclusive culture and innovative workplace with opportunity fornew approachesand growth

LDS is proud to be a certified Living Wage Employer in BC

Location:LDSEast VancouverLearning Centre,locatedat Rupert and East Broadway. Easily accessible bySkyTrainor bus.

Job Type: Full-time ongoing 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 witha range of life experiences to apply.

Accessibility:Please note, LDSmain officespace islocatedon 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.

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

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)

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.