Summer 2024 Intern - Data Science, Data & Analytics
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.
About Futureforce University Recruiting
Our Futureforce University Recruiting program is dedicated to attracting, retaining and cultivating talent. Our interns and new graduates work on real projects that affect how our business runs, giving them the opportunity to make a tangible impact on the future of our company. With offices all over the world, our recruits have the chance to collaborate and connect with fellow employees on a global scale. We offer job shadowing, mentorship programs, talent development courses, and much more.
We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.
Trust is our #1 value at Salesforce. The Data & Analytics team powers that value and propels Salesforce growth through providing trusted data, insights, and artificial intelligence that enables us to make smarter decisions in every dimension. These teams across the business will develop an enterprise data and analytics strategy and implement data governance capabilities which will unlock the value of data to help us better serve our customers and enhance our data-driven decision making.
Partner with product owners, data architects, domain experts, data analysts and other teams to translate business requirements into critical metrics and models.
Contribute to the research, design and construction of ground breaking ai-powered features that improve our users experience.
Rapidly iterate and develop machine learning models for the features under development.
Implement cleaning, transforming, and loading the data and extracting features to store in feature storage.
Support the ML lifecycle management infrastructure (AWS Sagemaker).
Participate in architecture and code reviews.
Identify, document and promote best practices.
Constantly learn, have a clear pulse on innovation across machine learning, data science and AI fairness.
Engage with business stakeholders to understand requirements of features and map them to the appropriate ML models
Answer open ended questions by extracting interesting and actionable insights from data
Enrolled and working towards BS or MS in Computer Science, Data Science, Machine Learning or related field. Please note that in order to be eligible for an internship, we require that you be returning to school the following quarter/semester to work towards completing your degree
Must be attending a College/University in the U.S.
Deep knowledge in one or more of machine learning / deep learning / personalization / NLP / Language Models / ranking.
Experience in building/prototyping machine learning models and algorithms and wrangling large datasets
Proficient in using Python (e.g., numpy, scikit-learn, tensorflow, pytorch, keras, huggingface) to implement machine learning models and algorithms
Proficient in shell scripting, SQL and Unix/Linux command-line tools
Ability to summarize and clearly convey technical topics to multiple audiences
Driven by the opportunity to build products, with a get-it-done approach and a strong bias towards action.
Intellectual curiosity, creative problem-solving and time management skills
Proven track record of delivering outstanding high impact projects in multifaceted settings
Familiar with big data analytics tools and distributed systems, Apache Spark, Flink, or Kafka
Hands-on experience with other AWS services (Redshift, S3, Lambda, EC2, etc).
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