Last updated: 2025-05-22

20 Machine Learning Engineering jobs in Toronto.

Hiring now: Sr Ai Engr @ Synopsys, Software Engr Machine Lea @ Lyft, Staff Machine Learning En @ Procore, Platform Engr I Machine L @ Spotify, Software Engr Systems Ml @ Meta, Data Scientist @ Rakuten Ko, Machine Learning Infrastr @ Stripe, Eng Mgr Data Platform @ Shyftlabs, Tech Lead Platform Engr A @ Enable, Aiml Engr @ Us Mobile.Explore more at at kaamvaam.com

🔥 Skills

Python (10) machine learning (10) Machine Learning (6) MLOps (6) Kubernetes (4) Docker (4) AI (4) automation (3) scaling (3) PyTorch (3)

📍 Locations

Toronto (19) Mississauga (1)

Synopsys

Skills & Focus: AI/ML lifecycle tools, cloud services, container technologies, Kubernetes, Docker, microservices, serverless computing, GenAI, predictive analytics, automation
About the Company: At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving…
Experience: 2-3 years of experience in software development
Type: Full-time

Lyft

Skills & Focus: Machine Learning, AI, platform, real-time, model execution, Python, Linux, scaling, systems, software engineering
About the Company: Lyft is a ride-sharing company committed to creating an inclusive, diverse organization that leverages Machine Learning and AI to better serve customers across…
Experience: 3+ years of engineering experience working in stacks like Python, GO, Java
Salary: CAD $108,000 - $135,000
Type: Full-time
Benefits: Extended health and dental coverage, mental health benefits, family building benefits, child care and pet benefits, hea…

Procore

Skills & Focus: Machine Learning, Deep Learning, AI, Python, PyTorch, TensorFlow, NLP, CI/CD, Docker, Kubernetes
About the Company: Procore is the leading construction management platform, empowering teams to seamlessly connect field and office operations. Trusted by thousands of constructi…
Experience: 5+ years of Python experience focused on scalable, maintainable code.

Spotify

Skills & Focus: ML platform, Kubernetes, ML workloads, ML SDK, scalable ML, ML infrastructure, Python, Go, deep learning, TensorFlow
Experience: 1+ years
Type: Permanent

Meta

Skills & Focus: AI frameworks, compiler stack, high performance, deep learning models, performance tuning, PyTorch, CUDA programming, optimizations, machine learning, hardware architectures
About the Company: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Ap…
Experience: Experience in AI framework development or accelerating deep learning models on hardware architectures.
Type: Full Time

Rakuten Kobo Inc.

Skills & Focus: data science, machine learning, Google Cloud Platform, NLP, recommendation systems, SQL, Python, BigQuery, vertex AI, MLOps
About the Company: Owned by Tokyo-based Rakuten and headquartered in Toronto, Rakuten Kobo Inc. is one of the most advanced global ecommerce companies, with the world’s most inno…
Experience: Minimum of a Master’s degree; PhD preferred.
Type: Full-time
Benefits: Flexible hours and hybrid remote working environment; Full benefits starting from your first day; Paid Volunteer days, …

Stripe

Skills & Focus: machine learning, MLOps, distributed systems, LLM applications, software development, scalable services, service-oriented architecture, data analytics, production ML platforms, high availability systems
About the Company: Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Str…
Experience: 2+ years of professional software development experience
Type: Full-time

Shyftlabs

Skills & Focus: data infrastructure, data engineering, software development, machine learning, MLOps, AWS, Python, data ingestion pipelines, big data, cross-functional collaboration
About the Company: ShyftLabs is a growing data product company founded in early 2020 that works primarily with Fortune 500 companies, delivering digital solutions to help acceler…
Experience: 5+ years of technical experience in data infrastructure, data engineering, or software development. 2+ years of experience in people management.
Type: Full-time
Benefits: competitive salary alongside a strong healthcare insurance and benefits package, extensive learning and development res…

Enable

Skills & Focus: cloud-native, platform, scalability, reliability, efficiency, SaaS, infrastructure, distributed systems, MLOps, machine learning
About the Company: We are transforming the supply chain with our cutting-edge rebate management software.

Us Mobile

Skills & Focus: AI, ML, engineer, machine learning, optimization, scaling, user experience, product development, engineering, design
About the Company: US Mobile is on a mission to revolutionize connectivity, developing a software platform for the 21st century and the age of 5G and IoT. Recognized as one of th…

Deep Genomics

Skills & Focus: machine learning, AI platform, drug discovery, production-grade systems, data pipelines, experimentation, Python, cloud providers, biological data, software engineering
About the Company: Deep Genomics is at the forefront of using artificial intelligence to transform drug discovery. Our proprietary AI platform decodes the complexity of genome bi…
Experience: 3+ years of experience working as an ML Engineer, Software Engineer, or similar technical role focused on ML systems.
Type: Full-time
Benefits: Comprehensive benefits including health, vision, and dental coverage for employees and families, employee and family as…

Evenup

Skills & Focus: data ingestion, indexing, AI platform, document extraction, modularized services, data pipeline, event driven architectures, ML models, scalable solutions, legal technology
About the Company: EvenUp is on a mission to level the playing field in personal injury cases. EvenUp applies machine learning and its AI model known as Piai™ to reduce manual ef…
Experience: 5+ years of industry experience designing and building distributed data systems
Type: Full-time
Benefits: Choice of medical, dental, and vision insurance plans for you and your family, Flexible paid time off, 10 US observed h…

Tiger Analytics

Skills & Focus: Machine Learning, Data Science, Big Data, Python, Spark, Hadoop, Docker, ML frameworks, Cloud environments, Data pipelines
About the Company: Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate bus…
Experience: 5+ years of work experience
Type: Full-time
Benefits: Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be…

Medsender

Skills & Focus: AI, healthcare, communication, automation, medsender, medical, workflow, API, ML, scaling
About the Company: Medsender is at the forefront of AI driven healthcare communication solutions, dedicated to improving patient care through cutting-edge tech.
Experience: 5+ years of experience as a software engineer, ideally in API development.
Salary: $150K – $200K
Type: Full time
Benefits: Great health benefits! (includes health, dental, and vision). Unlimited paid time off (PTO) and holiday schedule to sup…

Zynga

Skills & Focus: Machine Learning, Python, Big Data, Analytics, MLOps, Data Science, SQL, Spark, Docker, Kubernetes
About the Company: Zynga is a global leader in interactive entertainment, creating games that have been downloaded over 6 billion times, connecting players in 175+ countries.
Experience: 7+ years of production experience in software development with 5+ years in building ML applications and/or MLOps products.
Salary: $123,500 - $182,780
Type: Full-time
Benefits: Zynga offers a world-class benefits package including medical, financial, and other benefits.

Stripe

Skills & Focus: machine learning, ML systems, PyTorch, TensorFlow, XGBoost, model deployment, data pipelines, credit risk, automation, collaboration
About the Company: Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Str…
Experience: 2+ years of industry experience building and shipping ML systems in production
Skills & Focus: machine learning, MLOps, technical lead, distributed systems, system architecture, high availability, low latency, cross-functional collaboration, service oriented architecture, ML models
About the Company: Stripe is a financial infrastructure platform for businesses, enabling them to accept payments, grow revenue, and seize new business opportunities.
Experience: 10+ years of professional software development experience
Type: Full-time

Doordash

Skills & Focus: machine learning, ML models, AI solutions, consumer pricing, restaurant selection, promotions, marketplace growth, feature creation, deployment, optimization
About the Company: DoorDash is a technology and logistics company focused on on-demand delivery and empowering local economies.
Experience: 6+ years

Rackspace

Skills & Focus: Machine Learning, AWS, Natural Language Processing, Deep Learning, Cloud Platforms, ML Models, Python, MLOPs, Agile Methodologies, Technical Solutions
About the Company: We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver e…
Experience: 10+ years of experience in Machine Learning or 6+ years with PhD
Salary: $153,000 - $244,700 a year
Type: Full-time

Centml

Skills & Focus: C++, Python, GPU, Machine Learning, Performance Engineering, Inferences Stacks, Distributed Systems, Benchmarking, Profiling, High-performance
About the Company: CentML's mission is to massively reduce the cost of developing and deploying ML models so we can enable anyone to harness the power of AI and everyone to benef…
Experience: 5+ years of industry experience in software engineering.
Type: Full-time
Benefits: An open and inclusive work environment, Employee stock options, Best-in-class medical and dental benefits, Parental Lea…