Salesforce, Inc..
Senior Machine Learning Engineer
Salesforce, Inc.., San Francisco, California, United States, 94199
About the Role
The Service Protection team in India at Salesforce.com is seeking a 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 alongside our talented distributed systems software engineer team to train and deploy machine learning models to detect anomalies and automate resolution in order to solve real-world availability and scalability challenges.
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 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.
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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 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.
#J-18808-Ljbffr