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Internship

Summer 2024 Intern

Data Science, Data & Analytics

Posted on 8/18/2023

Salesforce

Salesforce

10,001+ employees

Cloud-based Customer Relationship Management solutions

Consulting
Enterprise Software
Fintech
AI & Machine Learning

Indianapolis, IN, USA + 2 more

Category
AI & Machine Learning
Data & Analytics
Required Skills
Redshift
Python
Apache Flink
Data Science
Tensorflow
Data Structures & Algorithms
Keras
Pytorch
Apache Spark
SQL
Apache Kafka
AWS
Natural Language Processing (NLP)
NumPy
Linux/Unix
Data Analysis
Requirements
  • 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
Responsibilities
  • 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
Desired Qualifications
  • 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)

Salesforce provides cloud-based software solutions focused on Customer Relationship Management (CRM). Its main product, Customer 360, includes a variety of applications that help businesses manage their interactions with customers across marketing, sales, service, commerce, and IT operations. This suite allows companies to personalize customer experiences and streamline their processes. Unlike many competitors, Salesforce offers a subscription-based model, which means clients pay a recurring fee to access its services without needing to invest in expensive hardware. This model supports continuous updates and improvements to their offerings. Salesforce aims to deliver customized solutions for different industries, ensuring that businesses can effectively enhance their customer relationships and drive growth.

Company Stage

Series A

Total Funding

$514.8M

Headquarters

San Francisco, California

Founded

1999

Growth & Insights
Headcount

6 month growth

5%

1 year growth

7%

2 year growth

-2%
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Simplify's Take

What believers are saying

  • Salesforce's leadership in AI and generative AI could revolutionize customer service, making traditional chatbots obsolete and enhancing client satisfaction.
  • The company's global reach and diverse client base provide stability and growth opportunities across various markets.
  • Investments from Salesforce Ventures and other firms highlight strong financial backing and confidence in Salesforce's future growth.

What critics are saying

  • The highly competitive CRM market requires Salesforce to continuously innovate to maintain its leadership position.
  • Integration of new AI technologies may face adoption challenges, potentially slowing down their impact on revenue.

What makes Salesforce unique

  • Salesforce's Customer 360 offers a comprehensive suite of applications that provide a seamless customer experience, setting it apart from competitors with more fragmented solutions.
  • The company's strong focus on AI and generative AI integrations, as seen with Lion Parcel, positions it at the forefront of innovation in the CRM space.
  • Salesforce's subscription-based model ensures a steady revenue stream, allowing for continuous innovation and improvement of its offerings.
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