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Summer 2023 Data Science/Machine Learning Engineer Intern - MuleSoft

Summer 2023 Data Science/Machine Learning Engineer Intern - MuleSoft
San Francisco, US
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Job 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.

** 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.

Job Category


Job Details

MuleSoft, a Salesforce company, is defining the application network category and changing the $700Bn IT integration market. This rapid growth drives the urgent need to scale our data and analytics organization quickly and efficiently and take friction out of our processes, platforms, and systems. Our team’s mission is to empower business users to unlock the endless capabilities of data, build new opportunities for innovation, and turn insights into competitive advantage.

The MuleSoft AI & ML team sits within the MuleSoft Data Organization and is a new and growing team. We collaborate with product owners to bring innovation to the customers by using data and AI power.

We're looking for talent to add to our team who have good programming skills and a background in one or more of the following domains: Machine Learning, Deep Learning, Recommendation, Natural Language Processing (NLP), Time-series Forecasting, and data mining.

** 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


Must-Have :

  • 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

  • Embodies Salesforce and MuleSoft values, particularly ownership, make it awesome, customer-centric, and trust


  • Experience with big data & emerging technologies (Cassandra/Spark/Flink/Vowpal )

  • Hands-on experience with other AWS services (Redshift, S3, Lambda, EC2, etc).


If you require assistance due to a disability applying for open positions please submit a request via this 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, Inc. and 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, Inc. and do not accept unsolicited headhunter and agency resumes. Salesforce, Inc. and will not pay any third-party agency or company that does not have a signed agreement with Salesforce, Inc. or

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.

For California-based roles, the base salary hiring range for this position is $50 to $65.

For Washington-based roles, the base salary hiring range for this position is $50 to $65.

Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience.

Certain roles may be eligible for incentive compensation, equity, and benefits. More details about our company benefits can be found at the following link:

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