Current jobs related to Machine Learning Engineer - British Columbia Remote - Leonardo

  • Machine Learning Engineer

    2 weeks ago

    Remote, Canada Infostrux Solutions Full time

    About Infostrux:Infostrux is one of North America's fastest-growing data-focused consultancies. Within 18 months of our founding in 2021, Snowflake recognized us at the highest partnership tier—a reflection of our deep expertise and impact.We help organizations unlock the value of their data by building modern, cloud-native platforms that power analytics,...

  • Staff Machine Learning Engineer

    3 weeks ago

    British Columbia (BC), Canada Harnham Full time

    Staff Machine Learning Engineer - Robotics Location: Vancouver (Hybrid Onsite)Compensation: $200-250k Base + EquityA leading robotics and AI organization is growing its Machine Learning team and hiring ML Engineers to help build the systems that power the next generation of general purpose robots. This is a rare opportunity to work directly at the...

  • Machine Learning Engineer

    2 weeks ago

    remote Canada, Remote, Canada . full-time . December , Infostrux Solutions Full time

    About Infostrux: Infostrux is one of North America's fastest-growing data-focused consultancies. Within 18 months of our founding in 2021, Snowflake recognized us at the highest partnership tier—a reflection of our deep expertise and impact. We help organizations unlock the value of their data by building modern, cloud-native platforms that power...

  • Senior Machine Learning Engineer, Dash

    3 days ago

    Remote, Canada Dropbox Full time

    Dropbox is a Virtual First company. For this role, we are currently only authorized to hire candidates from the following provinces: Alberta, British Columbia, Ontario, and Saskatchewan.Role DescriptionAs a Senior Machine Learning Engineer, you will play a key role in advancing Dropbox's mission to create a more enlightened way of working. You will be...

  • Senior Staff Machine Learning Engineer,

    5 days ago

    Remote Canada Affirm Full time

    Join the Affirm team as a Senior Staff Machine Learning Engineer and become a pivotal part of our innovative ML team. Our team is dedicated to Affirm's mission of revolutionizing financial services with transparency and inclusivity at its core. We are utilizing advanced machine learning techniques ensuring responsible and accessible financial products. In...

  • Senior Machine Learning Engineer

    2 weeks ago

    Remote (US/Canada) Censys Full time

    Company BackgroundCensys' mission is to be the one place to understand everything on the internet. Frustrated by the lack of trustworthy Internet intelligence, we set out to create the industry's most comprehensive, accurate, and up-to-date map of the Internet. Today, Censys delivers real-time Internet intelligence and actionable threat insights to global...

  • Senior Machine Learning Engineer

    2 weeks ago

    US, Canada (Remote) Cresta Full time

    Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team...

  • Senior Machine Learning Engineer

    1 week ago

    AMER - Canada - British Columbia - Vancouver - Bentall Centre Autodesk Full time

    Job Requisition ID # 25WD93374Position OverviewThe work we do at Autodesk touches nearly every person on the planet. By creating software tools for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world.As a Senior Machine Learning Engineer at Autodesk Research, you will work...

  • Senior Machine Learning Engineer

    3 days ago

    AMER - Canada - British Columbia - Vancouver - Bentall Centre Autodesk Full time

    Job Requisition ID # 25WD93374Position OverviewThe work we do at Autodesk touches nearly every person on the planet. By creating software tools for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world.As a Senior Machine Learning Engineer at Autodesk Research, you will work...

  • Senior Machine Learning Engineer

    1 week ago

    Canada - Remote (AB, BC, ON, NS ONLY) Instacart Full time

    We're transforming the grocery industryAt Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We...

Machine Learning Engineer

2 weeks ago

British Columbia Remote, Canada Leonardo Full time

About Us

Leonardo.Ai is building one of the world's most advanced generative-media platforms, empowering millions of people to turn ideas into high-quality images and videos in seconds.

Now part of the Canva family, we're scaling our global R&D team to make creativity faster, smarter, and more accessible for everyone.

The Role

We're looking for a Machine Learning Engineer who enjoys working hands-on across model development and ML systems, someone who wants to learn, ship real features, and grow in a high-context, collaborative environment.

You'll join the AI Engineering team inside the Platform Tribe, where we build the training pipelines, inference systems, and model-serving tooling that help teams across Leonardo deliver reliable AI-powered creative experiences at scale.

Your work will support features such as high-fidelity image generation, stylisation workflows, and emerging image-to-video capabilities, helping turn cutting-edge research into creative tools people use every day.

This role offers deep exposure to generative ML, including diffusion and transformer models, while developing your confidence in performance optimisation, GPU environments, and reproducible workflows. You'll work alongside senior ML engineers and research scientists, gaining context and stepping into more ownership as you grow.

If you're excited about generative media and want to sharpen both your modelling and engineering depth, you'll thrive here.

What You'll Do

Model Development and Evaluation

  • Collaborate with research scientists to adapt and fine-tune diffusion and transformer-based models.

  • Run experiments and evaluate model outputs to improve quality and consistency.

  • Contribute to performance improvements such as batching, caching, or quantisation with guidance.

  • Help identify bottlenecks and opportunities for generation improvements.

ML Engineering and Systems Development

  • Build and maintain training and inference pipelines.

  • Work with GPU environments on AWS and Kubernetes.

  • Use Docker and internal tools to standardise training, experimentation, and deployment.

  • Contribute to shared APIs and model-serving components.

MLOps and Reliability

  • Support dataset handling, experiment tracking, and model versioning.

  • Extend monitoring dashboards and alerts to maintain system performance.

  • Maintain reproducibility across checkpoints, datasets, and experiments.

Cross-Team Collaboration

  • Work with product teams to support integration of generative features.

  • Share learnings and contribute to a supportive engineering culture.

Skills We Value

  • Strong Python engineering skills and familiarity with ML workflows.

  • Experience with PyTorch or TensorFlow in project, research, or production settings.

  • Understanding of model training or fine-tuning.

  • Interest in improving inference performance and efficiency over time.

  • Clear, thoughtful communication and collaborative working style.

  • Curious and comfortable learning in unfamiliar technical areas.

Nice to Have

  • Exposure to diffusion, transformer, or video generation models.

  • Familiarity with AWS, Docker, Kubernetes, or GPU orchestration.

  • Experience with monitoring or observability tooling.

  • Open-source, research, or personal ML project contributions.

  • Background in creative-tech, ML tooling, or SaaS environments.

Why You'll Love Working Here

You'll be building technology that directly enables human creativity at scale, not just optimising models in isolation, but shaping how real people express ideas, tell stories, and create art. You'll join a team that values thoughtful engineering, shared context, and steady growth over ego or heroics. There is room to explore, room to ask questions, and room to develop depth in the areas that genuinely interest you. We work with curiosity, we build with care, and we learn from each other as we go.

Our Culture:

  • Inclusive Culture: We celebrate diversity and are committed to creating an inclusive environment where everyone feels valued and empowered. At Leonardo AI, your unique perspectives and experiences are welcomed and essential to our success.

  • Flexible Work Environment: We understand the importance of work-life balance. Enjoy the flexibility to work remotely or from our vibrant offices. We have employees all over Canada, ensuring you can thrive personally and professionally.

  • Empowering Growth: Your development is our priority. We offer continuous learning opportunities and career growth tailored to your goals. You'll be encouraged to grow and excel in your career at Leonardo AI.

  • Impactful Work: Join us in shaping the future of AI. You'll work on innovative projects that have a meaningful impact, and your contributions will help drive advancements in AI creativity.

Leonardo.Ai Benefits:

  • A range of benefits to set you up for every success in and outside of work. Here's a taste of what's on offer:

  • Impact the future of AI

  • Private Healthcare

  • Reward package including equity - we want our success to be yours too

  • Inclusive parental leave policy that supports all parents & carers with 18 weeks paid leave

  • An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more

  • Flexible leave options that empower you to be a force for good, take time to recharge and support you personally, including remote working abroad

  • Support with your professional development

  • Fun and engaging company events, both virtual and in-person

  • 20 days annual leave