Inworld AI
Overview
Full Stack Engineer, Speech Infrastructure at Inworld AI. We are building an intelligent runtime to connect to foundational models and enable real-time, interactive experiences. This role focuses on creating a fast, reliable, and cost-effective infrastructure for Text-to-Speech (TTS) and Speech-to-Text (STT) and related voice AI capabilities. Responsibilities
Design, develop, and scale the infrastructure powering cutting-edge TTS, STT, and real-time voice AI capabilities. Engineer robust deployment systems for speech models on Kubernetes with PyTorch, ensuring high availability and low latency. Write clean, high-performance backend services and APIs in Python, Java/Kotlin, and Go to handle audio processing, model inference, and data pipelines. Create and maintain internal web applications and dashboards using Node.js to enable teams to monitor, debug, and manage speech systems effectively. Collaborate with ML engineers to bridge research models and production-ready solutions serving millions of users. Qualifications
BA/BS in Computer Science or related field, or equivalent practical experience. 5+ years of professional experience in full-stack or backend software development. Experience in building production-grade APIs spanning backend and frontend stacks. Strong proficiency in Python and experience with one or more of Java/Kotlin, Go, or Node.js. Hands-on experience with Docker and Kubernetes. Interest or experience with deploying ML models, particularly with PyTorch. Foundational knowledge in data structures, algorithms, and system design. Nice to have / Good fit
Passion for AI infrastructure and ML systems. Experience building infrastructure for speech processing (TTS/STT) or real-time ML applications. Ability to work collaboratively in a fast-paced environment with shifting priorities. Familiarity with MLOps best practices and tools. Experience with cloud platforms like GCP or AWS. Location and Perks
We offer relocation assistance and welcome you to join us in our Mountain View office. Salary: The base salary range for this full-time position is $200,000 - $300,000, plus bonus, equity, and benefits. Employment details
Employment type: Full-time Seniority level: Not Applicable Industry: Software Development We believe in the power of in-person collaboration to solve hard problems and foster a strong team culture.
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Full Stack Engineer, Speech Infrastructure at Inworld AI. We are building an intelligent runtime to connect to foundational models and enable real-time, interactive experiences. This role focuses on creating a fast, reliable, and cost-effective infrastructure for Text-to-Speech (TTS) and Speech-to-Text (STT) and related voice AI capabilities. Responsibilities
Design, develop, and scale the infrastructure powering cutting-edge TTS, STT, and real-time voice AI capabilities. Engineer robust deployment systems for speech models on Kubernetes with PyTorch, ensuring high availability and low latency. Write clean, high-performance backend services and APIs in Python, Java/Kotlin, and Go to handle audio processing, model inference, and data pipelines. Create and maintain internal web applications and dashboards using Node.js to enable teams to monitor, debug, and manage speech systems effectively. Collaborate with ML engineers to bridge research models and production-ready solutions serving millions of users. Qualifications
BA/BS in Computer Science or related field, or equivalent practical experience. 5+ years of professional experience in full-stack or backend software development. Experience in building production-grade APIs spanning backend and frontend stacks. Strong proficiency in Python and experience with one or more of Java/Kotlin, Go, or Node.js. Hands-on experience with Docker and Kubernetes. Interest or experience with deploying ML models, particularly with PyTorch. Foundational knowledge in data structures, algorithms, and system design. Nice to have / Good fit
Passion for AI infrastructure and ML systems. Experience building infrastructure for speech processing (TTS/STT) or real-time ML applications. Ability to work collaboratively in a fast-paced environment with shifting priorities. Familiarity with MLOps best practices and tools. Experience with cloud platforms like GCP or AWS. Location and Perks
We offer relocation assistance and welcome you to join us in our Mountain View office. Salary: The base salary range for this full-time position is $200,000 - $300,000, plus bonus, equity, and benefits. Employment details
Employment type: Full-time Seniority level: Not Applicable Industry: Software Development We believe in the power of in-person collaboration to solve hard problems and foster a strong team culture.
#J-18808-Ljbffr