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Machine Learning Intern
Posted on 2/1/2022
INACTIVE
Locations
Cupertino, CA, USA
Experience Level
Intern
Desired Skills
Agile
Data Analysis
SCRUM
Python
Requirements
  • Currently enrollment / recent completion of BS/MS program in Computer Science, Math, Statistics, or related technical field of study
  • Strong programming and software development skills in Python
  • Good understanding of Statistical data analysis and Machine Learning concepts (Supervised and Unsupervised Learning, Recommender 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, extend, and maintain scalable and robust simulation framework for user in-vehicle behavior generation, allowing for critical discoveries surrounding key performance indicators of ML models and associated customer activity
  • Provide support to development teams responsible for implementation of machine learning techniques in a native head unit environment
  • Work closely with a proactive, highly motivated engineering team to bring next generation infotainment and telematics solutions to Mercedes-Benz products worldwide
  • Present and demo research topics to Daimler internal groups, and at external events such as academic conferences
  • Work in an Agile/Scrum environment to deliver high quality software with a measurable customer value
Mercedes-Benz

10,001+ employees

Luxury car company
Company Overview
Mercedes-Benz is on a mission to move the world. The company makes a range of automotive products.
Benefits
  • Wellness Program
  • Medical Insurance Plans
  • 401k match
  • Parental Leave
  • Employee vehicle program
Company Core Values
  • Integrity, Openness & Respect
  • Inspired, Empowered & Diverse People
  • Financial & Social Responsibility
  • Customer Focus
  • Commitment to Excellence
  • Sustainability