Data Engineer Intern

Spring/Summer 2024

Posted on 9/19/2023

INACTIVE

10,001+ employees

Distributes and markets Mercedes-Benz and smart products in the US.

Company Overview

Mercedes-Benz USA, a subsidiary of Daimler Company, stands out for its commitment to quality and craftsmanship, as evidenced by its extensive dealership network and robust product line, including the iconic Mercedes-Benz and smart vehicles. The company's culture emphasizes continuous improvement and customer satisfaction, fostering a work environment that encourages employees to strive for excellence. With its industry leadership, technical advancements, and a reputation for timeless style, Mercedes-Benz USA offers a rewarding and dynamic workplace for those passionate about automotive excellence.

Consumer Goods

Automotive & Transportation

Company Stage

N/A

Total Funding

N/A

Founded

1970

Headquarters

Atlanta, Georgia

Growth & Insights

Headcount

6 month growth

↓ -1%

1 year growth

↑ 6%

2 year growth

↑ 6%

Locations

Sunnyvale, CA, USA

Experience Level

Intern

Desired Skills

Agile

Data Analysis

Git

Microsoft Azure

SQL

Python

CategoriesNew

Data & Analytics

Requirements

Currently enrollment / recent completion of BS/MS/PhD program in Computer Science, Math, Statistics, or related technical field of study
Strong programming and software development skills in Python
Familiarity with SQL engines and large scale query processing
Experience with processing big data on cloud platforms (PySpark or Scala)
Good understanding of data analysis, data ingestion and data integration
Experience with git or other version control systems
Able to learn quickly and willing to share knowledge
Strong instincts for efficiency and optimization, with self-motivation to work with colleagues such that only high quality products reach customers' hands
Problem solving and communication skills with both technical and non-technical audiences

Responsibilities

Build and optimize the data pipelines that combine new vehicle data and third-party content
Define and implement data stores based on customer requirements and system requirements
Provide support to Data Scientists responsible for providing data analysis
Work closely with a proactive, highly motivated engineering team to bring next generation infotainment and telematics solutions to Mercedes-Benz products worldwide
Support improvement of cloud-based data processing pipeline
Work in an Agile/Scrum environment to deliver high quality software with a measurable customer value

Desired Qualifications

Experience in one or more of the following areas: Recommendation Systems, Information retrieval and Data mining, Bayesian inference and Gaussian processes
Data visualization
Understanding of ML workflow: preparing the data, implementing, and training ML models, evaluating results, deploying inference on different platforms
Experience with cloud platforms such as Microsoft Azure
Curious, self-motivated, and excited about solving open-ended challenges at Mercedes-Benz

Embedded in a worldwide network Mercedes-Benz Research & Development North America continuously strives to remain at the forefront of successful automotive research and development. MBRDNA is headquartered in Silicon Valley, California, with key areas of Autonomous Driving, Advanced Interaction Design, Digital User Experience, Machine Learning, Customer Research, and Open Innovation. In Farmington Hills, Michigan, the focus is on Powertrain and eDrive technology as well as in Long Beach, where the teams test durability of the latest driver assistant and telematic systems. The Digital Hub in Seattle focusses on developing a cloud architecture and building out the cloud platform for the next generation of connected car services. The Testing and Regulatory Affairs Division in Ann Arbor and the Advanced Vehicle Design in Carlsbad complete the competence center.

With the number of connected Mercedes-Benz vehicles on the road increasing daily, the amount of data being generated, and its significance is also increasing rapidly. The Mercedes-Benz Data and AI team is seeking a passionate and versatile Data Engineer Intern to join our Machine Learning Team for the Fall of 2023 / Spring 2024 to support with the collection, storage, processing, and analysis of large amounts of vehicle data. You will work with our Mercedes-Benz Research & Development North America (MBRDNA) team based in Silicon Valley. The team focuses on gathering valuable insights from our Mercedes-Benz vehicles and support the development for data products that will shape the future of Mercedes-Benz vehicles with the goal of enhancing our customer’s experience.

In this position, you will work independently and collaboratively with our Data Scientists and Machine Learning Engineers to support the vehicle data processing, data product development, evaluation of data insights and gathering information from our Mercedes-Benz cars from around the world. Our ideal candidate is available full-time, from January through Summer 2024.

Job Responsibilities:

Build and optimize the data pipelines that combine new vehicle data and third-party content.
Define and implement data stores based on customer requirements and system requirements.
Provide support to Data Scientists responsible for providing data analysis.
Work closely with a proactive, highly motivated engineering team to bring next generation infotainment and telematics solutions to Mercedes-Benz products worldwide.
Support improvement of cloud-based data processing pipeline.
Work in an Agile/Scrum environment to deliver high quality software with a measurable customer value.

Minimum Qualifications:

Currently enrollment / recent completion of BS/MS/PhD program in Computer Science, Math, Statistics, or related technical field of study
Strong programming and software development skills in Python
Familiarity with SQL engines and large scale query processing
Experience with processing big data on cloud platforms (PySpark or Scala)
Good understanding of data analysis, data ingestion and data integration
Experience with git or other version control systems
Able to learn quickly and willing to share knowledge
Strong instincts for efficiency and optimization, with self-motivation to work with colleagues such that only high quality products reach customers’ hands
Problem solving and communication skills with both technical and non-technical audiences

Preferred Qualifications:

Experience in one or more of the following areas: Recommendation Systems, Information retrieval and Data mining, Bayesian inference and Gaussian processes
Data visualization
Understanding of ML workflow: preparing the data, implementing, and training ML models, evaluating results, deploying inference on different platforms
Experience with cloud platforms such as Microsoft Azure
Curious, self-motivated, and excited about solving open-ended challenges at Mercedes-Benz

Additional Information

This is a full-time, 6-month in-person internship located at our Sunnyvale, CA office.
The current hourly rate for this position is as follows and may be modified in the future: $28 (Undergraduate Students)/$32 (Graduate Students) / $36 (PhD).
Intern benefits include PTO & Sick Time.

Additional Information:

The current hourly rate for this position is as follows and may be modified in the future: $28 (Undergraduate Students)/$32 (Graduate Students)

Intern Benefits/Perks:

• PTO

• Sick Time

Why should you apply?

Here at MBRDNA, you create digital ecosystems around cars, you design a language between humans and machines, you make a car even more intelligent - you make the new reality for cars. We have an open and flexible environment to allow you to push boundaries, join MBRDNA and design your future.

Benefits for Full-Time* Employees Include:

• Medical, dental, and vision insurance for employees and their families

• 401(k) with employer match

• Up to 18 company-paid holidays

• Paid time off (unlimited for salaried employees), sick time, and parental leave

• Tuition assistance program

• Wellness/Fitness reimbursement programs

• Vehicle lease subsidy or company car (for eligible employees only)

* Internships & Contractors excluded from Full-Time Employee benefits

MBRDNA is an equal opportunity employer (EOE) and strongly supports diversity in the workforce. MBRDNA only accepts resumes from approved agencies who have a valid Agency Agreement on file. Please do not forward resumes to our applicant tracking system, MBRDNA employees, or send to any MBRDNA location. MBRDNA is not responsible for any fees or claims related to receipt of unsolicited resumes.

Mercedes-Benz Research and Development North America, Inc.

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https://mbrdna.com/california-employee-privacy-notice/