Senior Software Developer, ML Ops

Wealthsimple Technologies

7d • Remote

About The Position

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.

Requirements

• 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)

Responsibilities

• 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.

Benefits

• 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)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed