Senior Software Engineer, Infrastructure (ML and Real-Time Speech)
Is this job for you?
Build my CV Build your CV and see how well you match this role — and every other one.
The role
Design, build, and operate backend services powering real-time, multi-language ASR and speaker identification features.
Architect scalable, fault-tolerant infrastructure across databases, queues, and pub/sub systems to support low-latency ML workflows.
Collaborate with ML researchers to deploy models, manage training pipelines, and monitor real-time and batch inference.
Improve observability, reliability, and performance for large-scale speech data ingestion and streaming.
Evolve the platform architecture with microservices, Kubernetes orchestration, and API integrations.
Partner with cross-functional teams to streamline developer experience, CI/CD, and automated testing for ML-backed services.
Architect scalable, fault-tolerant infrastructure across databases, queues, and pub/sub systems to support low-latency ML workflows.
Collaborate with ML researchers to deploy models, manage training pipelines, and monitor real-time and batch inference.
Improve observability, reliability, and performance for large-scale speech data ingestion and streaming.
Evolve the platform architecture with microservices, Kubernetes orchestration, and API integrations.
Partner with cross-functional teams to streamline developer experience, CI/CD, and automated testing for ML-backed services.
See the full job post
Responsibilities, requirements, skills and benefits — create your free account.
or
Already have an account?
Log inSimilar openings
Other roles that could suit you.
? Software Engineer, Gen AI & Web Apps ? Senior Software Engineer - Big Data/GenAI ? Director, Software Engineering — Marketing Intelligence (AI & Agents) ? Principal Software Engineer, ML Flywheel Technical Lead ? Software Engineer (MLOps) - H/F/NB ? Software Engineer, Trustworthy AI - Enterprise AI