Software Engineering SMTS
| Company | Salesforce |
|---|---|
| Location | San Francisco, CA, USA, Bellevue, WA, USA |
| Salary | $157600 – $236500 |
| Type | Full-Time |
| Degrees | Master’s, PhD |
| Experience Level | Senior, Expert or higher |
Requirements
- MS or PhD in Computer Science
- 5+ years of experience in one or more of the following areas: machine learning, recommendation systems, data mining
- Experience with deep neural networks and Gaussian processes
- Experience working with ML frameworks (Tensorflow, PyTorch, Keras)
- Experience working with Java and Python
- A solid understanding of both probability and statistics
- Strong mathematical skills and analytical skills
Responsibilities
- Use infrastructure data to assess, design, implement, train, and test machine learning models to detect anomalies
- Work closely with data and software engineers to apply machine learning model and scale to deploy anomaly detection models into our production infrastructure
- Design and implement major pieces of the salesforce.com core infrastructure, delivering high quality, production ready code
Preferred Qualifications
- Experience working with large amounts of data in a high throughput environment
- Experience working with Kafka or messaging/streaming tools
- Experience with agile software development, and short release cycle