Machine Learning Engineer

Are you seeking an exciting opportunity to work with groundbreaking, well-known Web3, Blockchain and Fortune 100 organizations?

Our client in Toronto is looking for a skilled Machine Learning Engineer to join their well-funded venture (USD 8.5M raised), focused on tackling unique treasury, accounting, and asset management challenges. They have processed over $100B in transactions in the last year!

About the Role :

As a Machine Learning Engineer, you will be at the forefront of innovation, collaborating with a dynamic team to shape the product vision and build AI products relating to finance and crypto.

We seek individuals with an entrepreneurial spirit, genuine enthusiasm for Web3 and Blockchain, and a passion for mastering web technologies and techniques. Your expertise will play a vital role in solving complex problems and driving the evolution of their products.

Responsibilities :

• Design, develop, and deploy machine learning models for various applications in crypto finance, such as predictive analytics, fraud detection, transaction classification, and risk management.
• Fine-tuning ML models for specific use cases, such as developing heuristics that detect fraudulent transactions, enhancing reconciliation processes by analyzing historical transaction data and providing greater explainability for the on-chain transactions our customers must later reconcile.
• Automating the deployment of ML models to production environments using tools and frameworks like Docker, Kubernetes, and CI / CD pipelines, ensuring high availability, low latency, and accuracy.
• Implementing monitoring solutions to track model performance metrics, detect drift, and trigger re-training to maintain prediction accuracy and reliability.
• Working with the Platform Engineering team, improving the state of the company's architecture to unlock faster training and deployment cycles.
• Collaborating with the full-stack engineering team to ensure seamless integration of ETL processes, data warehousing, and streaming to facilitate efficient model training and evaluation.

Does this sound like you?

• 5+ years of experience working on production web apps
• Built ML models from scratch and deployed them into production environments
• Familiarity and interest in accounting, FinTech products, and / or crypto
• Hands-on experience with ML frameworks (TensorFlow, PyTorch)
• Hands-on experience with orchestration tools (Airflow, Docker, and Kubernetes)
• Experience with building and maintaining processing pipelines (Apache Spark, Airflow, or Kafka)
• A Bachelor's Degree in Computer Science or a related field or equivalent experience demonstrating your commitment to continuous learning and growth.
• Strong communication skills when interacting with tech and non-tech stakeholders

Perks and Benefits :

• The role is based in Toronto; local candidates open to coming onsite a few days a week are preferred.
• Flexibility in work arrangements, including remote opportunities.
• Competitive salary and attractive equity options to share in the venture's success.
• Opportunities for growth and taking on exciting responsibilities.
• Exposure to cutting-edge technologies
• Enjoy the fast-paced and dynamic environment of working at a startup, combined with the stability of a larger company
• Work alongside a world-class team from top tech companies

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Machine Learning Engineer • Toronto, ON, Canada

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