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Senior Machine Learning Engineer

4 weeks ago

Vancouver, British Columbia, Canada Go REcruitment Full time
Senior Machine Learning Engineer

We are seeking a Senior Machine Learning Engineer who will be the technical owner of a first-of-its-kind personalization service for healthcare.

Key Responsibilities:
  • Work daily in an agile environment with engineers from other teams, product managers, designers, and user research to recommend solutions, define timelines, and solve customer problems.
  • Ensure your code is covered by unit and integration tests, and continually improve the testability of our products.
  • Configure CI/CD systems to automatically build and deploy your solutions to cloud-native infrastructure such as Kubernetes.
  • Ramp up on new techniques and best practices for platform development, and advocate improvements with the team.
  • Mentor junior developers through code and design reviews.
  • Build software with a proactive operations mindset to simplify alerting and debugging of customer issues using tools like Splunk. Participate in an on-call support rotation.
  • Design, develop, and deploy distributed systems and components.
  • Drive continuous improvement and automation initiatives to improve developer productivity and quality.
  • Pilot new initiatives to keep our technology stack ahead of the curve and learn from past experiences to have a strong opinion on recommended practices.
Requirements:
  • Bachelor's Degree in Computer Science -OR- equivalent education/experience.
  • 8 years experience building services at web scale.
  • 4 years experience with dependency injection and other core features including design of RESTful microservices and cloud hosting.
  • 4 years experience having operational ownership of production services, including working with DevOps and/or SRE teams.
  • 2 years sound understanding of performance testing, tuning, and analysis experience in SOA systems.
  • 2 years experience in Continuous Integration and Continuous Deployment methodologies.
Preferred Qualifications:
  • Master's Degree or Ph.D. in Computer Science or equivalent education/experience.
  • History of turning state-of-the-art ML research into production systems.
  • Experience with research and/or productionalization of personalization and/or recommender systems.
  • Entrepreneurial – have a great enjoyment of building new systems from scratch and solving customer needs.
  • Intense curiosity driving you to continuously learn and grow.