
Software Engineer, ML Ops
2 days ago
We are looking for passionate software engineers to join our ML Infrastructure team. Our team is at the forefront of building and maintaining scalable, high-performance infrastructure that empowers our machine learning engineers and data scientists to rapidly experiment with and innovate deep learning models for autonomous driving applications.
In this role, you'll initially focus on re-architecting and enhancing our dynamic provisioning platform for remote ML experiments, significantly improving the agility and efficiency of our ML development lifecycle. As we evolve, you'll contribute to broader ML infrastructure enhancements, ensuring our training ecosystem remains cutting-edge and robust.
What You'll Be Doing:
- Collaborate closely with ML engineers and data scientists to understand their needs and develop robust tools and processes that streamline the entire ML development lifecycle.
- Participate in the design, development and optimization of our core ML infrastructure, leveraging Kubernetes to build robust solutions.
- Drive best practices in software engineering, including code quality, testing, and system reliability, within the ML platform.
What We're Looking For:
- BS or MS in Computer Science or related field
- Strong knowledge of software engineering principles.
- Expertise with Python or Go
- Experience with AWS services or other Cloud platforms
- Strong written and oral communication skills
- Experience with the various stages of the ML development lifecycle is a plus
- Experience with ML frameworks such as PyTorch, Ray is a plus
- Experience with Kubernetes is a strong plus
Machine Learning
Oral Communication Skills
Kubernetes
Software Engineering
Agile
JavaScript
Reliability
PyTorch
SQL
Python
Java
C#
Databases
Linux
Software Development
C++
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