Software Engineer, Machine Learning Infrastructure

Are you a software engineer with a passion for Machine Learning Infrastructure? DoorDash is looking for a talented and motivated Software Engineer, Machine Learning Infrastructure to join our world-class engineering team.In this role, you will have the opportunity to build and maintain Machine Learning Infrastructure platforms to ensure the highest quality of operational performance. Your contributions will be key to the successful development and deployment of our products.As a successful candidate, you should possess a deep technical understanding of Machine Learning Infrastructure, along with strong experience developing software applications. You should also have a passion for learning new technologies and the ability to work both independently and collaboratively.To be successful in this role, you must have:• A Bachelor's degree in Computer Science, Engineering, or a related field• 5+ years of experience developing software applications• Expertise in developing Machine Learning Infrastructure• Strong understanding of distributed system design, algorithms, and data structures• Proficiency in at least one programming language (Python, Java, C#, etc.)• Knowledge of DevOps, automated testing, and CI/CD• Experience with cloud technologies (AWS, Azure, GCP, etc.)If you feel you have the right skills and experience to join our team, we'd love to hear from you!

Responsibilities:

1. Develop software applications to support Machine Learning Infrastructure.
2. Participate in the design, development, and implementation of Machine Learning Infrastructure platforms.
3. Ensure the highest quality of operational performance and maintain Machine Learning Infrastructure platforms.
4. Troubleshoot and debug software applications related to Machine Learning Infrastructure.
5. Develop and maintain DevOps, automated testing, and CI/CD processes.
6. Monitor and optimize performance of Machine Learning Infrastructure.
7. Collaborate with team members to ensure successful development and deployment of products.
8. Research and stay up-to-date on new technologies related to Machine Learning Infrastructure.
9. Utilize cloud technologies (AWS, Azure, GCP, etc.) to support Machine Learning Infrastructure.
10. Document development processes and procedures.

According to JobzMall, the average salary range for a Software Engineer, Machine Learning Infrastructure in New York, NY, USA is $103,250 to $145,500. This range is based on salaries reported by employers to JobzMall. Salaries may vary based on experience, skills, employer, and other factors.

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