Senior Machine Learning Scientist I
| Company | Braze |
|---|---|
| Location | Ontario, Canada |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | PhD |
| Experience Level | Senior |
Requirements
- 5+ years of experience in the technology industry
- 5+ years of experience working with cloud or distributed systems and large customer datasets
- Ph.D. in Computer Science, Applied Mathematics, or significant experience developing and deploying machine learning systems
- Extensive experience prototyping, refining, and deploying predictive models and machine learning & AI neural networks
- Experience working with Data Stores and frameworks such as TensorFlow and PyTorch
Responsibilities
- Collaborate with Product Managers and Engineers to build innovative ways to leverage data and improve decision-making for our customers
- Explore and analyze the billions of daily data points that Braze’s customers generate in search of predictive, valuable, actionable signals
- Build, analyze, and iterate on models that are best suited for the job, whether that’s supervised & unsupervised learning, reinforcement learning, neural networks, or simple regressions
Preferred Qualifications
-
No preferred qualifications provided.