Machine Learning Engineer Intern

Do you have a passion for machine learning and a desire to intern with a rapidly growing, innovative company? DoorDash is looking for an enthusiastic Machine Learning Engineer Intern to join our team. In this role, you’ll have the opportunity to work directly with our Machine Learning team and help shape the future of DoorDash.We’re looking for a highly motivated self-starter who is hungry to learn and has a strong technical background. To be successful in this role, you’ll need a strong foundation in machine learning algorithms as well as a good understanding of software engineering best practices. In addition, you should be able to work independently and have excellent communication skills. If this sounds like you, we’d love to have you join our team!

Responsibilities:

1. Develop and implement machine learning algorithms for DoorDash products.
2. Work with the Machine Learning team to design and develop models and prototypes.
3. Analyze data to uncover insights and develop predictive models.
4. Evaluate and improve existing machine learning algorithms.
5. Collaborate with other engineers, product teams, and data scientists to develop innovative solutions.
6. Troubleshoot and debug machine learning models.
7. Document and present findings from experiments and research.
8. Stay up to date on the latest advances in machine learning algorithms and technologies.
9. Adhere to software engineering best practices.
10. Communicate effectively with team members and other stakeholders.

According to JobzMall, the average salary range for a Machine Learning Engineer Intern in Los Angeles, CA, USA is between $21.43 and $59.62 per hour. Salaries vary depending on experience, education, and certifications.

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