Machine Learning/Data Science Engineer

Company: Salesforce
Location: San Francisco, California, United States
Type: Full-time
Posted: 21.MAY.2021

Summary

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating e...

Description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category Products and Technology Job Details

Einstein Language Intelligence team is looking for a strong Lead/Principal Data Scientist to help us improve the way customer service is delivered. As part of the team, you will play a key role in incorporating artificial intelligence into the CRM product portfolio. You will participate in designing and developing machine/deep learning models and services that can be integrated with many applications, thousands of tenants, and run at scale in production.

A typical day for you might include the following:

- Developing deep learning models in TensorFlow and/or PyTorch to satisfy major problems that Salesforce's hundreds of thousands enterprise customers have

- Partnering end-to-end with Product Managers, Application Architects, Machine Learning Engineers, and Deep Learning Researchers to understand customer requirements, design prototypes, and bring innovative technologies to production

- Partnering with Machine Learning Engineer and Scientists to define requirements for AI platforms such as experimentation environment, reusable ML pipeline, etc.

- Working with internal product teams to ingest their data and sprinkle machine/deep learning fairy dust on their products

Basic Qualifications

  • PhD or equivalent Master's Degree plus 5+ years of experience in CS, CE, ML or related field

  • Strong experience building and applying machine learning models for business applications

  • Strong experience programming in Python, and using machine learning frameworks such as TensorFlow or PyTorch

  • Proven ability to implement, operate, and deliver results via innovation at large scale

Preferred Qualifications

  • A PhD in CS, Machine Learning, Statistics or relevant field

  • 5+ years of industry/applied research experience in machine learning, NLP, deep learning and/or information retrieval

  • Expertise on a broad set of ML approaches and techniques, ranging from Artificial Neural Networks to Bayesian methods

  • Experience with conversational AI

  • Top-tier papers published in related areas.

  • Fantastic problem solver; ability to solve problems that the world has not solved before

  • Excellent written and spoken communication skills

  • Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams

Accommodations

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Posting Statement

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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.

Founded in 1999, Salesforce is the global leader in Customer Relationship Management (CRM). Companies of every size and industry are using Salesforce to transform their businesses, across sales, service, marketing, commerce, and more by connecting with customers in a whole new way. We harness technologies that can revolutionize companies, careers, and, hopefully, our world.

Salesforce is built on a set of four core values: Trust, Customer Success, Innovation, and Equality. By making technology more accessible, we're helping create a future with greater opportunity and equality for all. This has taken our company to great heights, including being ranked by Fortune as one of the "Most Admired Companies in the World" and one of the "100 Best Companies to Work For" eleven years in a row, and named "Innovator of the Decade" and one of the "World's Most Innovative Companies" eight years in a row by Forbes.

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