🤑 Base salary range: For this role, candidates located in Canada can expect a base salary range, described in the posting. Actual compensation is determined based on skills, experience, and role level. Exceptional candidates may be considered above the top of the range, and pay can increase quickly for those who make a big impact in the role.

🚀 Total compensation: In addition to base salary, permanent employees receive equity compensation. We use clear job levels and market-based salary bands to ensure compensation is fair and consistent across the company.

Build something people love

Wealthsimple is on a mission to help everyone achieve financial freedom by reimagining what it means to manage your money. Using smart technology, we take financial services that are often confusing and expensive and make them transparent and low-cost for everyone. We’re the largest fintech company in Canada, with 3+ million users who trust us with more than $100 billion in assets. And we’re just getting started.

We’re looking for someone who thinks big, sweats the small stuff and keeps things simple. You’ll join a high-bar, fast-paced team where people are trusted to own their work, communicate openly, and ship things that improve our clients’ lives. Collaboration, humility, and an obsession over quality are how we get stuff done.

Be a part of our Canadian success story and help shape the financial future of millions. Read our Culture Manual and learn more about how we work.

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.

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.

In this role, you will have the opportunity to:

• 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.

We are looking for people who have:

• 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 using our Wealthsimple for Business platform

🌴 20 vacation days + 4 wellness days per year, and unlimited sick and mental health days

✈️ 90 days away program: Employees can work outside of Canada for up to 90 days per calendar year

👥 A wide variety of peer and company-led Employee Resources Groups (e.g., Rainbow, Women of Wealthsimple, Black @ WS)

🌎 We’re a remote first team with over 1,500 employees across North America - and one of the best things about working here is the people. You’ll be collaborating with incredibly talented, curious, and driven teammates who care deeply about doing great work.

Technology & Innovation at Wealthsimple

We believe the future belongs to those who innovate boldly. At Wealthsimple, every team member is expected to lean into new technologies, including AI, and tooling to rethink how we work, solve problems faster, and create even greater value. We're looking for people who are not just comfortable with change but energized by it. Our commitment is to build a company that evolves at the pace of the world around us, and we want you to help lead that future.

DEI Statement

At Wealthsimple, we are building products for a diverse world and we need a diverse team to do that successfully. We strongly encourage applications from everyone regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status.

Accessibility Statement

Wealthsimple provides an accessible candidate experience. If you need any accommodations or adjustments throughout the interview process and beyond, please let us know, and we will work with you to provide the necessary support and make reasonable accommodations to facilitate your participation. We are continuously working to improve our accessibility practices and welcome any feedback or suggestions on how we can better accommodate candidates with accessibility needs.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Compensation Range: CA$151.2K - CA$189K