A leading AI evaluation platform in San Francisco is looking for a Senior Software Engineer specializing in ML infrastructure. The successful candidate will design and develop robust real-time data and API systems, enabling insights for researchers and developers. Ideal applicants have over five years of experience in software engineering with a strong background in distributed systems and a passion for building reliable infrastructure. This role offers competitive compensation and a chance to work with cutting-edge AI technologies in a collaborative environment.
Qualifications
5+ years of experience in software engineering, focusing on infrastructure or large-scale data and ML systems.
Proven ability to design and operate low-latency, high-throughput, and fault-tolerant systems.
Comfortable in a dynamic, high-ownership, fast-growth environment.
Responsibilities
Architect and scale high-performance, real-time API and data systems.
Design and implement low-latency pipelines to process and analyze large-scale event streams.
Mentor engineers on infrastructure best practices and performance tuning.
Skills
Distributed systems
Stream processing
Scalable backend architecture
Performance tuning
Fault-tolerant systems
Job description
A leading AI evaluation platform in San Francisco is looking for a Senior Software Engineer specializing in ML infrastructure. The successful candidate will design and develop robust real-time data and API systems, enabling insights for researchers and developers. Ideal applicants have over five years of experience in software engineering with a strong background in distributed systems and a passion for building reliable infrastructure. This role offers competitive compensation and a chance to work with cutting-edge AI technologies in a collaborative environment.