Machine Learning Infrastructure Engineer
4 weeks ago
Location: Sunnyvale, CA (Onsite Only)
Responsibilities
- Design and develop systems to support Machine Learning algorithm development within the team.
- Own the system design that will cater to multi-modal input, quick prototyping of algorithms, visualization tools and state-of-the-art Client algorithm architecture development.
- Build distributed systems and pipelines for data management, ensuring scalability, reliability and performance.
- Demonstrate a deep understanding of DevOps practices and apply them to Client operations.
- Handle the complexities of designing and implementing Client infrastructure systems in a dynamic and fast-paced environment.
- Contribute to the overall impact of the team by delivering robust and efficient Client infrastructure.
- Bachelor's degree in Computer Science or a related field.
- Minimum 5+ years of experience in software engineering, with a focus on infrastructure design.
- 5+ years experience in Python and C++.
- Proven experience in designing complex systems and strong software engineering skills.
- Strong understanding and experience with distributed systems and infrastructure design.
- Demonstrated expertise in DevOps practices, with a focus on Client.
- Experience with Client pipeline automation and data management in Client workflows.
- Previous experience building Client systems and working on Client adjacent teams.
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