
Machine Learning Engineer Intern
At DoorDash, we’re always looking for top-notch talent to join our team and help us take our product to the next level. We’re currently seeking a Machine Learning Engineer Intern to join our team. This is an incredible opportunity to be part of a fast-paced, innovative, and collaborative team and make an impact on a product used by millions of people. As a Machine Learning Engineer Intern, you will be responsible for developing innovative Machine Learning solutions to advance our products and services. You must be a creative problem solver who is passionate about Machine Learning and eager to drive forward the development of our products. We’re looking for applicants who have a strong background in Machine Learning and a demonstrated track record of success. To be considered for this role, you must have at least a Bachelor’s degree in Computer Science or a related field, and a minimum of two years of experience with Machine Learning. We also require prior experience with programming languages such as Python and C++, as well as experience with TensorFlow, PyTorch, or other frameworks. If you’re looking for an opportunity to make an impact with a top-notch team, and you meet the qualifications for this role, we’d love to hear from you!
Responsibilities: • Develop innovative Machine Learning solutions to advance DoorDash products and services • Utilize programming languages such as Python and C++ to create solutions • Utilize frameworks such as TensorFlow and PyTorch to create solutions • Work closely with the product team to ensure that solutions are aligned with the company’s objectives • Research and evaluate new Machine Learning technologies • Keep up to date with the latest trends in the Machine Learning space • Assist with the design and deployment of Machine Learning models • Design and optimize data pipelines • Analyze model performance and accuracy • Implement algorithms and models to improve the accuracy and performance of existing Machine Learning models • Create documentation to facilitate the understanding and use of Machine Learning models and algorithms
Ability To Work In A Fast-Paced Environment
Strong Communication Skills
Experience With Python
Knowledge Of Machine Learning Algorithms
Understanding Of Data Science Fundamentals
Ability To Analyze Large Data Sets
Experience With Cloud Computing Platforms
Familiarity With Visualization Tools
Sql
Programming
Python
Data Analysis
Algorithms
R
Machine Learning
Tensorflow
Data Visualization
Automation
Cloud Computing
Artificial Intelligence
Data Mining
Modeling
Statistics
Communication
Emotional Intelligence
Leadership
Time management
Interpersonal Skills
creativity
Critical thinking
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Machine Learning Engineer Intern in Chicago, IL, USA is $20 - $25 per hour.
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