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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and managing high-throughput, real-time audio and text streaming services, with a strong focus on integrating machine learning models and optimizing system performance. Proficient in async programming and experienced in architecting GPU-accelerated infrastructure using Docker and Kubernetes.
Highest-signal resume keywords
Python ProgrammingAsync Programming (Asyncio)Machine Learning Model ServingKubernetes InfrastructureWebSocket or gRPC Streaming
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Signal ProcessingConcurrency ManagementReal-Time CorrectionsPerformance InstrumentationOptimizing ThroughputAudio Ingestion APIsBatching StrategiesLoad BalancingAutoscalingProfiling Low-Latency Systems
Tools & Technologies
DockerKubernetesRay ServeRabbitMQDatadogPrometheusClaude CodeCodexWebRTCLiveKit Agents
Industry Keywords
Streaming ASRMachine TranslationNLP ModelsCJK Text HandlingIncremental MTMachine Translation Quality Estimation
Tech Stack
Tools & technologiesDockerGRPCKubernetesPrometheusPythonRabbitMQRay
About the role
Key responsibilities & impact- Build and manage high-throughput, real-time audio and text streaming services
- Handle signal processing, session lifecycles, and concurrency management
- Integrate and serve streaming speech recognition and machine translation models
- Develop confidence scoring, human-intervention routing, and real-time corrections
- Architect and scale GPU-accelerated Kubernetes infrastructure
- Implement batching, load balancing, and autoscaling strategies
- Instrument performance, identify bottlenecks, optimize throughput, and reduce latency
- Define audio ingestion and downstream integration APIs and technical contracts
- Collaborate with research, frontend, platform engineering, and product teams
Requirements
What you’ll need- BS or MS in Computer Science or a related field, or equivalent practical experience
- 3+ years building production backend or ML serving systems in Python
- Strong async programming (asyncio) skills
- Experience with WebSocket or gRPC bidirectional streaming, session state, backpressure, and connection lifecycle handling
- Experience serving ML models in production on GPUs, with Docker and Kubernetes
- Experience integrating speech or NLP models into production systems, ideally streaming ASR
- Experience profiling, instrumenting, and optimizing a real-time or low-latency system
- Effective use of AI coding agents such as Claude Code or Codex
- US citizenship and residence in the United States
- Preferred: Ray Serve, simultaneous or incremental MT, machine translation quality estimation, RabbitMQ, streaming text-to-speech, WebRTC, SFU concepts, LiveKit Agents, Pipecat, CJK text handling, Datadog, and Prometheus
Benefits
Comp & perks- Growth opportunities
- Leading tools
- Global collaboration
- AI-first development environment with agentic coding and AI-driven PR reviews