Senior Software Developer - Machine Learning Platform
Toronto, Ontario
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Wealthsimple
Wealthsimple is the simple way to grow your money like the world's most sophisticated investors. No-maintenance portfolios, expert investment advisers and low fees.Our teams ship often and make an impact with groundbreaking ideas. We're looking for talented people who keep it simple and value collaboration and humility as we continue to create inclusive and high-performing teams where people can be inspired to do their best work.
About the Machine Learning Platform TeamMachine Learning Platform is part of the Platform Engineering team at Wealthsimple and is responsible for:
1. Providing a simple and reliable platform for model development, model training, prediction serving and experimentation for both traditional ML models alongside GenAI applications2. Abstract the engineering complexities involved in productionizing ML/AI to allow model developers to focus on building delightful applications.
Learn more about how we built the first iteration of our Machine Learning Platform here.
About the RoleAs a Senior Machine Learning Engineer, you will significantly contribute to shaping Wealthsimple’s machine learning foundations. You’ll partner with a cross-discipline team to evolve our model developer cycle, while also maintaining fundamental platforms that support Wealthsimple developers, your clients. We understand each software engineer has a unique blend of skills so whether your strength is in ml-ops, infrastructure or enabling Generative AI, we'd love to chat with you 🙂
As a Senior Software Developer - ML Platform, you will:
- Partner with stakeholders across different product domains and platform teams to tackle technical problems at scale, including the implementation and rollout of the next iteration of our ML Platform
- Build the foundation to leverage Generative AI, including fine tuning with open source LLMs, exploring new serving architectures such as NVIDIA NIM/TensorRT
- Maintain and improve a suite of tools that power our platform and make more seamless experiences for our Developers, including: NVIDIA Triton, MLflow, Airflow, FastAPI, Kubernetes
- Set the technical direction for impactful projects such as building a framework for fine tuning LLMs
- Stay up to date with the latest industry trends and technologies in ML Ops and Generative AI, and assess their viability for adoption within the platform
What you bring:
- Strong programming skills in Python, and experience with containerization, Infrastructure-as-code and working within the AWS ecosystem
- Experience with design and implementation of high performance systems with reliable monitoring and logging
- Experience owning applications end-to-end and are able to understand and address infrastructure concerns
- Knowledge of Machine Learning, Applied AI and how it interacts with platforms at scale
We’re a remote-first team, with over 1,000 employees coast to coast in North America. Be a part of our Canadian success story and help shape the financial future of millions — join us!
Read our Culture Manual and learn more about how we work.
DEI StatementAt 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 StatementWealthsimple 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture AWS Engineering FastAPI FinTech Generative AI Kubernetes LLMs Machine Learning MLFlow ML models MLOps Model training Open Source Python TensorRT
Perks/benefits: Career development Competitive pay Health care Insurance Unlimited paid time off Wellness
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