Our client is dedicated to making the world's information accessible through audio. As the company grows, the AI team is looking for a Staff Backend Engineer to drive infrastructure scalability, optimize product workflows, and create resilient, end-to-end systems. This role is ideal for individuals passionate about strategic product development in a high-paced environment and eager to take ownership of critical product decisions.
Responsibilities
- Collaborate with machine learning experts, engineers, and product managers to deliver cutting-edge AI features for diverse applications.
- Deploy and operate core machine learning inference workloads for their AI-serving pipeline.
- Innovate on tools, architecture, and techniques to enhance performance, reduce latency, increase throughput, and boost model efficiency.
- Develop tools to identify and address bottlenecks and improve system stability.
Skillset
- Proficient in shipping Python-based services.
- Proven experience overseeing a mission-critical production service.
- Familiar with public cloud environments, preferably GCP.
- Skilled in Infrastructure as Code, Docker, and containerized deployments.
- Preferred: Expertise in deploying high-availability applications on Kubernetes.
- Preferred: Experience in deploying machine learning models to production.
Interested? Apply Now!
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