Sr. Model Engineer, Voice

This senior role focuses on voice AI models, including speech recognition and synthesis. The engineer will develop and optimize voice models, integrate them into products, and improve performance. Requires expertise in ML, audio processing, and production deployment.

This role leads the architecture and evolution of Decagon's real-time voice platform, owning the voice runtime and shaping its long-term roadmap. The engineer will drive multi-quarter projects to improve timing, responsiveness, audio quality, and reliability across millions of interactions, collaborating with Research, Infra, and Product teams. Responsibilities include defining reliability and observability standards, building debugging frameworks, and mentoring senior engineers.

This role focuses on developing and optimizing voice recognition and speech synthesis models at SpaceX, likely for human-machine interfaces. The engineer will work on acoustic modeling, natural language processing, and voice quality. Strong experience in speech AI and deep learning is required.

This role involves designing and implementing machine learning models for voice agents, focusing on speech recognition, synthesis, and natural language understanding. The engineer will work on cutting-edge AI models to enable conversational voice interfaces. Responsibilities include training and fine-tuning models, optimizing for real-time performance, and collaborating with research and product teams.

This role designs, programs, and commissions facility automation controls for a data center plant. Responsibilities include writing PLC code, building HMI/SCADA interfaces, integrating with BMS/EPMS systems, and ensuring safety compliance with NEC/NFPA standards. Requires 1+ years of experience in industrial controls or building automation, with proficiency in PLC programming and industrial protocols.

This role designs, implements, and matures the enterprise IAM ecosystem, serving as a key subject matter expert within the Information Security organization. The IAM Engineer owns complex initiatives end-to-end, including federation strategies, identity lifecycle management, RBAC, PAM, and automation with Terraform. Requires 3+ years of hands-on IAM experience and expertise in modern protocols and platforms.

This role designs, builds, and operates production-grade realtime and batch pipelines that ingest, process, validate, and deliver data powering user-behavior insights. The engineer creates shared datasets, fact tables, and internal data products while owning data correctness end to end. Requires 5+ years of software engineering experience with Python, Rust, Scala, Go, or Java and data pipeline tooling.