Role overview
We are seeking a Senior Software Engineer to design and build the infrastructure that powers machine learning (ML) and computer vision (CV) development and deployment at scale. In this role, you'll collaborate closely with ML scientists, ML engineers, and adjacent product and platform teams to deliver robust, production-ready software solutions that support the full ML lifecycle.
You will contribute to team-wide initiatives spanning software architecture, data processing, and engineering best practices, and you will create and maintain documentation covering software design, implementation, and testing methodologies across the ML data lifecycle.
What you'll work on
- Design, build, and maintain software systems and infrastructure that support the end-to-end ML lifecycle.
- Support the development and operation of production-grade machine learning solutions.
- Develop and operate microservices in a public cloud environment (AWS, Azure, or GCP).
- Collaborate cross-functionally with ML and platform teams to deliver scalable solutions.
- Provide technical guidance and mentorship to engineers.
- Promote and practice high engineering standards, including unit, integration, and mock testing.
- Contribute to cloud infrastructure automation, CI/CD pipelines, and containerized deployments.
- Take ownership of projects with a proactive, "can-do" mindset.
What we're looking for
- Experience supporting or building platforms for ML or data-intensive systems.
- Exposure to LLM-powered applications, including evaluation, inference, or integration into production systems.
- Experience with distributed compute frameworks (e.g., Ray, Spark).
- Background in building secure, compliant systems in cloud environments.
Tags & focus areas
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