Role overview
Salesforce has breached 6 billion transactions a day and growing at an exponential rate! Due to this rapid growth evolving our core infrastructure software has never been more important. Our team is looking for a Machine Learning Engineer to join our world-class team to apply Machine Learning into our infrastructure software to increase speed, scale, and high availability. If you’re fired up about applying Machine Learning to cutting-edge compute, distributed multi-tenant systems, automating everything, and working with talented engineers, this is the team for you!
About the Role:
The Service Protection team in India at Salesforce.com is seeking talented Machine Learning Engineer to join our team to focus on system resiliency and high availability of our multi-tenant, on-demand cloud computing system. You will be working along side our talented distributed systems software engineer team to train and deploy machine learning models to detect anomalies and automate resolution in order to to solve real-world availability and scalability challenges.
Responsibilities:
- Use infrastructure data to asses, 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
Basic Qualifications
- 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
Desirable 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
About Salesforce:
Salesforce, the Customer Success Platform and world's #1 CRM, empowers companies to connect with their customers in a whole new way. The company was founded on three disruptive ideas: a new technology model in cloud computing, a pay-as-you-go business model, and a new integrated corporate philanthropy model. These founding principles have taken our company to great heights, including being named one of Forbes’s “World’s Most Innovative Company” five years in a row and one of Fortune’s “100 Best Companies to Work For” eight years in a row. We are the fastest growing of the top 10 enterprise software companies, and this level of growth equals incredible opportunities to grow a career at Salesforce. Together, with our whole Ohana (Hawaiian for "family") made up of our employees, customers, partners and communities, we are working to improve the state of the world.
For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.