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Salesforce.com, Inc Lead/Principal ML Engineer in Bellevue, Washington

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Job Category

Products and Technology

Job Details

The Role

Salesforce is looking for a Lead/Principal Data ML Engineer with Java and/or Python experience, to help us take on one of the world’s most extensive data sets and transform it into amazing products that feel like magic. You will work on cutting-edge AI applications and products used by millions of people every day.

The Product

Einstein.ai (https://gus.lightning.force.com/lightning/r/0F9B00000002yhlKAA/view) Platform (under Salesforce Research) democratizes AI and transforms the way Salesforce builds and delivers trusted machine learning products, solutions and services. The Einstein.AI Platform augments the Salesforce Platform with the ability to easily create, deploy, and utilize predictive applications on unstructured data across all clouds. We achieve this by providing a set of end-to-end solutions to use-cases in Natural Language Processing and Computer Vision powered by Deep Learning (DL) and exposed via easy-to-use public APIs. The platform currently supports different types of models such as Vision (Image Detection & Classification, OCR, PDF parser etc) and Text (Intent, NER, Sentiment etc). Chatbots, Industries, Marketing Cloud are a few important consumers of our APIs to power their deep learning capabilities.

The Team

We have a real fun team that is extremely smart and motivated and they are looking for equally motivated Platform engineers with experience building large-scale deep learning training and real-time serving pipelines, to help us get to the next level, and build a platform that scales to thousands of customers, and billions of predictions per day.

We're looking for strong candidates with a beginner's mindset ready to innovate, iterate, and deliver GA quality services!

Responsibilities

  • Own the end to end architecture of the Einstein.AI Platform and build the technology for scaling the Einstein.AI Platform to thousands of Salesforce customers, and millions of predictions per day.

  • Partner with Product Managers and Data Scientists to understand customer requirements and design prototypes and bring ideas to production

  • Develop compute and data infrastructure capable of ingesting and processing customer data from different sources at scale in batch and real-time

  • Build DL model A/B testing and promotion flow in a high-volume production environment

  • Build multi-tenant RESTful services supporting the full lifecycle of training models on customer data to low-latency prediction/inferences at scale.

  • Help with the larger initiative of building a unified ML platform for Salesforce.

What we care about?

  • Professional industry experience is preferred; especially with Java and Python. We develop real products. You need to be an expert in coding.

  • We have scale. You need to have experience in distributed, scalable systems. Consistency / availability tradeoffs are made here. You’ve tinkered with modern data storage, messaging, and processing frameworks (Kafka, Spark , Hadoop, Cassandra, etc.). You know how to put modern data / ML pipelines together using these frameworks at your disposal.

  • You should have some Machine Learning or Deep Learning experience. NLP expertise is a huge plus.

  • We are a growing, diverse team and we work together on projects. We love to collaborate and help each other, and we want someone to share that ideology.

  • You have to be a very quick learner - we face new challenges every day, anything that ranges between the operating model of a financial services companies, conversation model for chatbots, tinkering with convolutional and recurrent networks, to how to make Spark work with the S3 file system. No school could prepare you for all of these, so you need to be very quick on your feet.

  • You should be a self-starter who can see the big picture, and prioritize your work to make the largest impact on the business’ and customer’s vision and requirements.

Preferred Skills

  • We are looking for experienced candidates (5+ years of full time software engineering experience)

  • 2+ years in data / ML / DL settings

  • We run on AWS. We dockerize applications. You should know how to build, test, and deploy code to run on cloud infrastructure.

  • Experience with Deep Learning for NLP.

  • Experience with Tensorflow and PyTorch.

Accommodations

If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form. (http://cloud.mail.salesforce.com/accommodations-request-form)

Posting Statement

At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at Salesforce and explore our benefits.

Salesforce.com and Salesforce.org are Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce.com and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce.com and Salesforce.org will not pay any third-party agency or company that does not have a signed agreement with Salesfore.com or Salesforce.org.

Salesforce welcomes all.

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.

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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.

There are those who choose to work with the best and brightest. And then, there are those who want to do more than just a job. They are the ones improving lives, not only their careers. Having an impact now instead of later. Doing something that’s so much bigger than themselves, an industry, and their company.

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