Senior Software Developer, Wealthsimple
ML Ops
CA$151.2-189k
+ Equity
Professional investing services made simple
Be an early applicant
Professional investing services made simple
1001+ employees
Be an early applicant
CA$151.2-189k
+ Equity
1001+ employees
Company mission
To help everyone achieve financial freedom.
Role
Who you are
- 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)
- We’re looking for someone who thinks big, sweats the small stuff and keeps things simple
What the job involves
- 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
- 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
Our take
Wealthsimple is one of a crop of robo-advisors trying to democratise investment management. These companies are disrupting the industry by automating many of the processes involved in investment, removing the need for human advisors.
But while other so-called robo-advisors are focused on courting the high end of the market, Wealthsimple is trying to provide the same types of tools and advice to all users, regardless of the amount they have to invest.
Wealthsimple does have higher fees than some other robo-advisors such as Betterment and Charles Schwab. However, the company believes that it provides a more user-friendly platform, tailored to millennials who will be attracted to Wealthsimple due to its ease of use and social impact offerings.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-10% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Oct 2025
$403.4m
LATE VC
May 2021
$550m
LATE VC
Total funding: $1.3bn
Company benefits
- Retirement savings matching plan through Wealthsimple Work
- Company equity for full-time employees
- Access to Premium Client perks, including personal finance learning & advice and a boosted interest rate on deposits
- Paid parental leave (6 months topped up to 100% of salary)
- 20 vacation days per year
- 90 Days Away program
- Top-tier health benefits
- Life & disability insurance
- Generous sick and mental health days
- Employee resource plan including services like RMT, psychology, and physiotherapy
- Up to $5,000 per year for mental health supports
- Gender Affirmation benefits
- Up to $1,500 per year for professional development
- Up to $1,500 per year for wellness and home office expenses
- Employee resource groups
- Social impact hours
Company HQ
Fashion District, Toronto, ON
Leadership
Michael Katchen
(Co-Founder & CEO)Previously worked as a Business Analyst at McKinsey and then at Ancestry.com as Country Director for Canada.
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