Staff Software Engineer, Machine Learning Infrastructure

Do you have a passion for building software infrastructure that supports machine learning? Are you inspired by working on the cutting edge of technology? DoorDash is looking for a Staff Software Engineer, Machine Learning Infrastructure to join our team and help take our ML capabilities to the next level.We’re looking for a highly motivated individual with significant experience in software engineering and a passion for developing machine learning infrastructure. You must have a strong track record of developing successful software and an ability to work both independently and collaboratively. The ideal candidate will have an in-depth understanding of distributed systems, cloud infrastructure, and parallel computing technologies.This is an incredible opportunity to join a dynamic, fast-paced team and help shape the future of machine learning at DoorDash. If you’re excited to join an innovative team and make an impact, then we want to hear from you!

Responsibilities:

1. Develop software infrastructure to support machine learning initiatives
2. Design, build, test, and deploy distributed systems, cloud infrastructure, and parallel computing technologies
3. Collaborate with cross-functional teams to ensure successful delivery of ML initiatives
4. Monitor and evaluate the performance of software infrastructure and machine learning algorithms
5. Stay up to date with the latest technologies and industry trends to ensure the best solutions are implemented
6. Troubleshoot and resolve software issues
7. Document design decisions and implementation processes
8. Provide technical guidance and mentorship to other team members

According to JobzMall, the average salary range for a Staff Software Engineer, Machine Learning Infrastructure in Seattle, WA, USA is between $125,000 and $175,000. This range can vary depending on experience, education, and the company offering the position.

Best local restaurants now deliver. Get breakfast, lunch, dinner and more delivered from your favorite restaurants right to your doorstep with one easy click.