Software Engineer, Infrastructure (ML and Real-Time Speech)

TL;DR

Software Engineer, Infrastructure (ML and Real-Time Speech): Designing and scaling backend platforms for advanced multi-language ASR and real-time speaker identification systems with an accent on resilient, high-performance systems and productionizing ML models. Focus on solving complex distributed-systems problems and improving system observability and reliability for large-scale speech data.

Location: Mountain View, CA

Salary: $185,000–$275,000 USD per year

Company

hirify.global is the world's leading tool for meeting transcription, summarization, and collaboration, leveraging artificial intelligence to generate real-time automated meeting notes.

What you will do

• Design, build, and operate backend services for real-time, multi-language ASR and speaker identification features.
• Architect scalable, fault-tolerant infrastructure across databases, queues, and pub/sub systems.
• Partner with ML teams to productionize models (training pipelines, model deployment, versioning, and monitoring) for real-time and batch inference.
• Improve system observability, reliability, and performance for large-scale speech data ingestion and streaming.
• Contribute to the evolution of our platform architecture, including microservices, orchestration (Kubernetes), and API integrations.
• Collaborate with cross-functional teams to streamline developer experience, CI/CD pipelines, and automated testing for ML-backed services.

Requirements

• 2+ years of experience designing and building scalable backend systems and distributed infrastructure.
• Fluent in Python (bonus for C++).
• Deep understanding of data structures, algorithms, distributed systems, and operating systems.
• Experience with databases (SQL & NoSQL), queuing systems, and pub/sub solutions.
• Experience with ML infrastructure / MLOps or eagerness to learn quickly.
• Enjoys collaborating with ML engineers and product teams.

Nice to have

• Experience with real-time streaming frameworks (Kafka, Pulsar, Flink).
• Hands-on experience with container orchestration (Kubernetes, ECS).
• Familiarity with SDK integrations or developer platform design.
• Experience building or optimizing speech/voice AI pipelines.

Culture & Benefits

• Empowering team environment focused on growth and authenticity.
• Platform simplifies note-taking, saves time, improves productivity and accessibility, and makes collaboration effortless.
• Committed to diversity and building an inclusive and accessible workplace.
• Provides reasonable accommodations for qualified applicants throughout the hiring process.