Software Engineer (ML Data Infrastructure)
Toronto, Ontario, Canada
Mid Level
Full-Time
About the role
- We’re seeking an experienced engineer to join our team as a Software Engineer, ML Data Infrastructure
- You’ll collaborate with exceptional engineers to build cutting-edge AI design experiences that delight millions of users
- Tackling complex technical challenges collaboratively, from scaling distributed systems to enabling new generative media experiences
- Building robust data infrastructure that powers foundation models at petabyte scale, ensuring reliability and performance across multi-modal training pipelines
- Optimizing data processing workflows for massive throughput, working hands-on with distributed systems, TPU infrastructure, and large-scale storage solutions
- Partnering with research scientists to understand data requirements and translating them into production-grade systems that accelerate model development cycles
- Our backend infrastructure is primarily written in Python and makes use of the following technologies (experience with them is helpful but not strictly required):
- Kubernetes
- GCP, Google Bigtable, Google BigQuery, Google Spanner, Google Pub/Sub
- Docker & Terraform- Strong fundamentals in data structures, algorithms, and distributed systems
- Hands-on experience with large-scale data processing systems
- 2-5 years developing and shipping large-scale distributed systems with proven ability to manage complexity through thoughtful abstractions and scalable design
- Strong understanding of databases and data storage architectures
- Demonstrated ability to drive projects from 0 to 1, including scoping, execution, and iteration
- Deep sense of ownership - proactively identifies opportunities, suggests improvements, and acts on them
- Thrives in fast-moving, ambiguous environments with a strong bias toward action
- Asks great questions, thinks from first principles, and seeks out resources to deepen understanding
Not the right fit? Search for Software Engineer jobs in Toronto, Ontario, Canada
Similar Jobs
Software Engineer (ML Data Infrastructure)
Toronto, Ontario, Canada
Mid Level
Full-Time
About the role
- We’re seeking an experienced engineer to join our team as a Software Engineer, ML Data Infrastructure
- You’ll collaborate with exceptional engineers to build cutting-edge AI design experiences that delight millions of users
- Tackling complex technical challenges collaboratively, from scaling distributed systems to enabling new generative media experiences
- Building robust data infrastructure that powers foundation models at petabyte scale, ensuring reliability and performance across multi-modal training pipelines
- Optimizing data processing workflows for massive throughput, working hands-on with distributed systems, TPU infrastructure, and large-scale storage solutions
- Partnering with research scientists to understand data requirements and translating them into production-grade systems that accelerate model development cycles
- Our backend infrastructure is primarily written in Python and makes use of the following technologies (experience with them is helpful but not strictly required):
- Kubernetes
- GCP, Google Bigtable, Google BigQuery, Google Spanner, Google Pub/Sub
- Docker & Terraform- Strong fundamentals in data structures, algorithms, and distributed systems
- Hands-on experience with large-scale data processing systems
- 2-5 years developing and shipping large-scale distributed systems with proven ability to manage complexity through thoughtful abstractions and scalable design
- Strong understanding of databases and data storage architectures
- Demonstrated ability to drive projects from 0 to 1, including scoping, execution, and iteration
- Deep sense of ownership - proactively identifies opportunities, suggests improvements, and acts on them
- Thrives in fast-moving, ambiguous environments with a strong bias toward action
- Asks great questions, thinks from first principles, and seeks out resources to deepen understanding
Not the right fit? Search for Software Engineer jobs in Toronto, Ontario, Canada