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Senior Machine Learning Infrastructure Specialist
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Transform Your Career as a Machine Learning Infrastructure Professional
About the RoleWe're seeking an exceptional Senior Software Engineer to join our team and build the foundational infrastructure for Machine Learning Engineers. This is a software engineering role focused on designing and operating high-performance systems that process large-scale data.
As a key contributor, you'll own the design and implementation of critical services that directly impact the pace of innovation in autonomous vehicles.
Key Responsibilities- Design, build, and deploy core components of our ML infrastructure platform on Kubernetes.
- Develop robust and scalable services supporting the entire ML lifecycle.
- Write high-quality code for high-throughput systems handling petabytes of data.
- Own features and systems end-to-end, driving them from initial design through production deployment.
- 4+ years of professional software engineering experience.
- BS or MS in Computer Science or a related field.
- Hands-on experience developing and deploying applications on Kubernetes.
- Experience building high-scale infrastructure or distributed backend systems.
- Strong proficiency in Python, Go, or a similar language.
- Solid experience with a major cloud provider (AWS, GCP, Azure).
- A strong sense of ownership and passion for building high-quality software.
You'll have the opportunity to work on cutting-edge technology, collaborate with experienced professionals, and drive your career growth.
About YouWe're looking for someone who is passionate about building robust platforms, has hands-on experience with Kubernetes, and is proficient in Python or a similar language.
