Build something people love
Wealthsimple's mission is to help everyone achieve financial freedom – by making financial services simple, transparent, and low-cost. We're Canada's largest fintech, trusted by over 3 million clients with more than $100 billion in assets. We move fast, we own our work, and we care deeply about the people using our products. If that sounds like you, keep reading.
We're proud of what we've built — and we're just getting started. Read our Culture Manual and learn more about how we work.
About the team
The Data Science & Engineering (DSE) team consists of data scientists and software engineers with diverse educational backgrounds such as math, operations research, economics, computer science, engineering and business. The team is responsible for enabling data-driven decision making and building data products at Wealthsimple. We achieve these goals by:
Building a high quality and scalable state-of-the-art data warehouse that powers all decision making.
Leveraging machine learning and algorithms to help Wealthsimple build smarter financial products.
Using decision science to understand the cause and effect of our business decisions.
We are building a multi-product company with a growing offering including Invest, Cash, Crypto, Trade and Tax products.
About the role
As a Software Engineer on the Machine Learning Platform team, you will play a pivotal role in our mission to build a self-serve ML Platform to enable data scientists to do their best work. As such, you will work closely with the area owners, data scientists and other software engineers to improve our ML-ops tooling and support the launch of new data products.
What you'll do
Partner with stakeholders across different product domains, infrastructure to tackle technical problems at scale, which includes building framework agnostic services to support all of Wealthsimple’s machine learning needs.
Establish roadmap and architecture for Wealthsimple’s Machine Learning platform.
Build highly performant scalable systems, contributing to our ML platform on Kubernetes, Bedrock and Sagemaker.
Work with a large amount of autonomy to set the technical direction for scalable projects.
Skills you bring
Experience implementing production-ready services.
7+ years of software development experience in ML infrastructure, ML tooling, or ML engineering.
Experience with Python in production environments.
Proven experience designing and implementing highly performant, scalable systems with strong observability.
Proven experience owning projects end-to-end and operating complex systems over the long term.
Experience collaborating with technical and non-technical stakeholders (product, infra, applied ML).
Experience with the ML ecosystem (e.g., PyTorch, Transformers, Ray, Kubeflow, Elasticsearch or other vector databases, Triton, CUDA, DVC, LangChain, Ollama).
Our stack includes
Kubernetes to orchestrate our services.
FastAPI for RESTful APIs.
MLFlow for experiment tracking.
Sagemaker for ML inference.
Bedrock for at scale LLM inference.
Kafka, Postgres, Redshift and Snowflake for streaming and data warehousing.
Why Wealthsimple?
🌸 Top-tier health benefits and life insurance
📈 Long-term group savings with employer match, through Wealthsimple for Business
🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year
✈️ 90 days away: work outside Canada for up to 90 days per year
👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS
🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work.
ICYMI
Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building.
Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status.
Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs.
AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.
Compensation Range: CA$151.2K - CA$189K