265 AI Algorithms jobs in Canada
Principal DevOps Engineer - ML/AI Algorithms
Posted today
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Job Description
**The Position**
**Principal DevOps Engineer - ML/AI Algorithms**
Developing software is great, but developing software with a purpose is even better! As a Principal DevOps Engineer - ML/AI Algorithms, you will work on products that help people with the most precious thing they have - their health. You will be part of the RIS Research & Development team contributing to digital health products touching Imaging, ML/AI, and computational science.
**The Opportunity**
As Principal DevOps Engineer, you will collaborate with important stakeholders on the development of the build, release, and deploy toolchain for DevOps, paving the way for seamless and efficient software delivery processes.
**This role can be based in Santa Clara (primary location) or in secondary locations (Mississauga, Canada or Basel, Switzerland).**
**Key responsibilities:**
+ Lead the initiative to set up, manage, and meticulously maintain parity across development, staging, and production application environments in cutting-edge cloud infrastructure, ensuring a robust and consistent deployment pipeline.
+ Champion the implementation of advanced monitoring infrastructure development, empowering the team with real-time insights and ensuring the highest levels of system reliability and performance.
+ Provide dedicated on-call support for production operations, ensuring the uninterrupted delivery of critical services and swift resolution of any operational issues.
+ Interface with software developers, product managers, test engineers and administrators on projects to design and develop the build, release, and deploy toolchain for DevOps while providing on-call support.
+ Identify, troubleshoot and resolve issues quickly and effectively, sometimes under pressure.
+ Actively involved in planning, high availability engineering, performance tuning, and automation/tools development.
+ Manage multiple releases with focus on system reliability, scalability, and efficiency.
+ Implement and manage the full lifecycle of machine learning models, including versioning, deployment strategies (e.g., canary, A/B testing), monitoring for drift and performance, and decommissioning.
+ Bring in leadership quality to improve technology and process of devops as well as provide mentorship to other devops engineers in the team.
**Who You Are**
+ Bachelor's degree in Computer Science, Engineering, or a related field with a minimum of 8+ years of experience in a DevOps or equivalent combination of education and experience to perform at this level.
+ 8+ years of experience with container technology, including Kubernetes, AWS EKS, Helm Charts, Splunk, and Docker, along with provisioning infrastructure through IAC using Terraform and cloud automation principles.
+ Proficiency in Unix/Linux administration in Shell scripting and internals with a preference for Ubuntu.
+ Deep working experience and extensive knowledge in building and deploying infrastructure using IaC frameworks such as terraform and AWS Cloudformation/SAM.
+ Experience building and automating scalable data pipelines for ingesting, transforming, distributed computing and versioning large-scale image datasets.
+ Familiarity with DevOps practices and proficiency in log analysis and monitoring tools are essential for effective troubleshooting and system optimization.
+ Proficiency in Python for automating production systems, including Git, Gitlab, Git actions, GitHub CI/CD, familiarity with common ML libraries such as TensorFlow, PyTorch, and scikit-learn to understand the engineering needs of the ML models you will be deploying.
+ Strong working knowledge of AWS Cloud infrastructure, including EC2, S3, API Gateway, Kubernetics, RDS, VPC peering, Route53, S3, IAM, Batch, Lambda, AWS Config and Autoscaling.
**Preferred:**
+ MLOps experience with demonstrated experience supporting machine learning or computer vision teams.
+ Deep experience with container orchestration for ML workloads using Kubernetes, including frameworks like Kubeflow or KubeRay to manage distributed training jobs.
+ Familiarity with data versioning tools like DVC.
+ Familiarity with common ML libraries such as TensorFlow, PyTorch, and scikit-learn to understand the engineering needs of the ML models.
+ Familiarity with other languages such as Java, R, and C/C++.
+ Experience with AWS services for machine learning, such as Amazon SageMaker, and experience managing GPU-accelerated compute instances (e.g., EC2 P and G series) for model training and inference.
The expected salary range for this position based on the primary location of Santa Clara, CA is between $162,600 and $302,000. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
**Benefits ( benefits are not available for this position.**
**Who we are**
A healthier future drives us to innovate. Together, more than 100'000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.
Let's build a healthier future, together.
Roche is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants ( .
Senior Deep Learning Engineer
Posted today
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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.
Senior Deep Learning Engineer
Posted today
Job Viewed
Job Description
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) ?
- RRSP matching to help you save for your future ?
- Recharge: 4 weeks of vacation & 5 additional personal/sick days ️
- Wellness stipend: monthly allowance toward your fitness expenses, favourite activities, or professional development ?
- Daily team lunches ?
- Bi-annual offsites: we'll make sure everyone at Owl has an opportunity to can hang out with teammates IRL at least twice a year ?
Salary Range: $150,000 - $230,000
Our salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, location, and relevant education or training.
Join us at Owl.co and be part of a dynamic team driving innovation in the insurance industry. If you're passionate about leveraging AI to tackle real-world challenges and eager to make a meaningful impact, we'd love to hear from you.
Senior Deep Learning Engineer
Posted today
Job Viewed
Job Description
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.
Senior Deep Learning Engineer
Posted today
Job Viewed
Job Description
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.
Senior Deep Learning Engineer
Posted today
Job Viewed
Job Description
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)
Senior Deep Learning Engineer
Posted today
Job Viewed
Job Description
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.
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Senior Deep Learning Engineer
Posted today
Job Viewed
Job Description
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.
Senior Deep Learning Engineer
Posted today
Job Viewed
Job Description
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.
Deep Learning Compiler Engineer
Posted 15 days ago
Job Viewed
Job Description
Huawei Canada has an immediate 12-month contract 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.