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Data Science Engineering, Machine Learning (Torrance)

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SalesforceTorrance, CA
  • 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.
  • Products and Technology
  • Teams include: Analytics, Commerce, Einstein, IoT, Mulesoft, Search Relevance, Security, Service, Service Protection team, Marketing Cloud
  • In school, or graduated within the last 12 months?
  • Please visit FutureForce for opportunities
  • Salesforce is looking for an exceptional engineer ideally with a dual background in machine learning and software engineering 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.
  • Brainstorming data product ideas with data scientists and engineers to build data products used by hundreds of millions people every day.
  • Depending on the team, responsibilities may include: Developing data infrastructure that ingest and transforms data from different sources and customers at scale.
  • Creating machine/deep learning infrastructure that generalizes across hundreds of thousands of Salesforce customers, but is expressive enough to generate high lift.
  • Design, develop, bring to production at a large scale and support intelligence features on a world-class search service that serves millions of requests daily on a diverse corpus of data including structured, unstructured and social feeds.
  • Deploy models at scale and assess impact from A/B testing (including interpretation of results).
  • Develop new relevance features and techniques build upon the latest results from the research community.
  • What we care about: You have industry experience with writing production level code (e.g., Python, Scala, PySpark, Java) and taking ML models/ algorithms to production.
  • Preference for 5+ years of industry experience (without PhD); at least 4+ years of industry experience with PhD. This is not an entry level / new college graduate role.
  • Self-starter who can see the big picture, and prioritize their work to make the largest impact on the business and customer s vision and requirements.
  • Excellent communication & leadership.
  • We develop real products.
  • You need to be an expert in coding, including Java and Object-Oriented Programming.
  • We also use Scala and Functional Programming principles.
  • We prioritize professional industry experience; advanced degrees alone do not replace real world experience.
  • We have massive 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 tools (Kafka, Spark, Hadoop, Cassandra, etc.)
  • and demonstrated experience designing and coding in big-data components such as HBase, DynamoDB, or similar.
  • Required Qualifications: At least 4 years of hands-on professional industry experience in engineering positions focused on Machine Learning, Information Retrieval, Recommendation systems or Data Mining, Natural Language Processing, Learning to Rank.
  • Strong programming skills in Java, Python or Scala.
  • Strong knowledge of Object Oriented design, advanced algorithms, data structures, etc.
  • Preferred Qualifications: Master s or PhD in a relevant field and/or experience in any of the following is highly regarded: Computer Science, Machine Learning, Data Science and Modeling techniques including classification, regression and Bayesian analysis.
  • Experience with Agile software development and Test Driven Development methodologies.
  • Experience working with large datasets, preferably using tools like Hadoop, Spark, Pig or Hive.
  • Experience building Software as a Service (SaaS) applications.
  • We have a public-facing website that explains our various benefits, including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more.
  • Visit for the full breakdown!
  • 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.
  • 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.
  • Accommodations - If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.
  • 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.
  • Associated topics: data analyst, data architect, data center, data integrity, data management, data quality, data scientist, data warehousing, erp, mongo database administrator

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