
Senior Software Developer for Machine Learning Infrastructure
1 week ago
We are seeking a highly skilled Senior Software Engineer to join our dynamic ML Infrastructure team.
This is an exceptional opportunity to be at the forefront of building and maintaining scalable, high-performance infrastructure that empowers machine learning engineers and data scientists to rapidly experiment with and innovate deep learning models for autonomous driving applications.
Job DescriptionAs a key member of our team, you will 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.
You will 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.
Key responsibilities include:
- Designing, developing, and optimizing our core ML infrastructure, leveraging Kubernetes to build robust solutions.
- Driving best practices in software engineering, including code quality, testing, and system reliability, within the ML platform.
To excel in this role, you will need:
- Strong knowledge of software engineering principles.
- Expertise with Python or Go programming languages.
- Experience with AWS services or other Cloud platforms.
- Experience with the various stages of the ML development lifecycle.
- Strong written and oral communication skills.
- Experience with ML frameworks such as PyTorch, Ray (a plus).
- Experience with Kubernetes (a strong plus).
Join our vibrant team and enjoy:
- A collaborative and dynamic work environment.
- Ongoing professional development and growth opportunities.
- A chance to contribute to cutting-edge technology and innovation.
We are committed to creating an inclusive and diverse workplace where everyone feels valued and empowered to succeed. If you share our passion for innovation and want to make a meaningful impact, we encourage you to apply.
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