
Software Engineer, Machine Learning Infrastructure
At DoorDash, we’re looking for an experienced and innovated Software Engineer to join our growing Machine Learning Infrastructure team. As a Software Engineer, you will be responsible for developing and maintaining our Machine Learning Infrastructure and ensuring that it is running efficiently and effectively. We are looking for someone who is passionate about developing cutting-edge technology, has a strong technical background, and is excited to join our team. The ideal candidate must have at least 4-6 years of experience in software engineering, including experience with Machine Learning Infrastructure. You should have a strong understanding of distributed systems and architecture, as well as experience with programming languages like Python, Java, or C/C++. You should be collaborative, detail-oriented, and have a passion for solving complex problems. If you’re looking to take your software engineering career to the next level and join an innovative and dynamic team, we want to hear from you!
Responsibilities:
- Developing and maintaining the Machine Learning Infrastructure to ensure that it is running efficiently and effectively.
- Utilizing programming languages such as Python, Java, or C/C++ to build and maintain the Machine Learning Infrastructure.
- Working collaboratively with other teams/departments to ensure successful integration and deployment of the ML Infrastructure.
- Troubleshooting and resolving any technical issues that arise.
- Establishing effective communication and collaboration with stakeholders.
- Developing and deploying cutting-edge technology solutions to improve the ML Infrastructure.
- Researching new technologies and best practices to ensure that the ML Infrastructure is up-to-date.
- Documenting and communicating software engineering progress and performance.
- Staying up-to-date with the latest industry trends and developments in the software engineering field.
Gcp)
Experience With Distributed Systems
Strong Programming Experience In Java And/Or Python
Knowledge Of Machine Learning Principles And Implementation Of Ml Models
Experience Working With Cloud-Based Systems (Eg. Aws
Knowledge Of Sql And Nosql Databases
Experience With Containerization Technologies (Eg. Docker
Kubernetes)
Knowledge Of Devops Principles And Best Practices
Familiarity With Automated Testing Frameworks
Sql
Python
Java
C++
Algorithms
Data structures
Software design
DevOps
Distributed systems
Machine Learning
agile
AWS
Cloud Computing
Kubernetes
GCP
Communication
Leadership
Time management
Interpersonal Skills
creativity
Organization
flexibility
collaboration
Problem-Solving
And Critical Thinking
According to JobzMall, the average salary range for a Software Engineer, Machine Learning Infrastructure in Seattle, WA, USA is between $117,977 and $165,859 per year. The median salary for this position is $140,919 per year.
Salary ranges can vary widely depending on experience, the type of company, and other factors. Some software engineers may be able to negotiate higher salaries than the average salary range mentioned above.
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