Software Engineer, macOS Core Product - Intl, Non-USA
Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for a diverse range of use cases. Deploy and operate the core ML inference workloads for the AI Voices serving pipeline. Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of deployed models. Build tools to provide visibility into bottlenecks and sources of instability and design and implement solutions to address the highest priority issues.
Software Engineer, macOS Core Product - Virginia Beach, USA
Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for diverse use cases. Deploy and operate the core machine learning inference workloads for the AI Voices serving pipeline. Introduce new techniques, tools, and architecture to improve performance, latency, throughput, and efficiency of deployed models. Build tools to identify bottlenecks and sources of instability, then design and implement solutions addressing the highest priority issues.
Software Engineer, macOS Core Product - Rialto, USA
Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to their customers for diverse use cases. Deploy and operate the core ML inference workloads for the AI Voices serving pipeline. Introduce new techniques, tools, and architecture to improve the performance, latency, throughput, and efficiency of deployed models. Build tools to gain visibility into bottlenecks and sources of instability and design and implement solutions to address the highest priority issues.
Software Engineer, macOS Core Product - Waco, USA
Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for a diverse range of use cases. Deploy and operate the core ML inference workloads for the AI Voices serving pipeline. Introduce new techniques, tools, and architecture to improve the performance, latency, throughput, and efficiency of deployed models. Build tools to provide visibility into bottlenecks and sources of instability, and design and implement solutions to address the highest priority issues.
Software Engineer, macOS Core Product - South Bend, USA
Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for a diverse range of use cases. Deploy and operate the core ML inference workloads for AI Voices serving pipeline. Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of deployed models. Build tools to provide visibility into bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues.
VP of Customer Strategy
As an AI Quality Assurance Intern, you will execute structured test plans for AI Agent implementations, validate that intents, entities, and workflows trigger correctly, identify behavioral inconsistencies, misclassifications, or hallucinations, review and validate AI-generated suggestions, summaries, and classifications, provide actionable feedback to improve intent models and redaction/PII handling, run bias, redaction, and transcription accuracy checks, spot patterns or emerging issues across test sets, and contribute ideas for improving internal QA processes and tools. You will help ensure that AI systems act as intended, follow correct business logic, and provide accurate and safe outputs to end users.
Forward Deployed Engineer (FDE), Life Sciences
Design and ship production systems around models, owning integrations, data flows, reliability, and on-call readiness. Lead discovery and scoping from pre-sales through post-sales, including problem framing, constraints, trade-offs, and a delivery plan. Define launch criteria for regulated contexts, outcome metrics, and drive adoption until production impact is proven. Build in sensitive data environments where auditability, validation, and access controls drive architecture decisions. Run evaluation loops that measure model and system quality in life science workflows to drive model and product improvements. Distill production learnings into hardened primitives, reference architectures, and templated workflows that scale across regulated life sciences environments.
Sr. Director, Sales Development
As an AI Quality Assurance Intern, you will execute structured test plans for AI Agent implementations, validate that intents, entities, and workflows trigger correctly, identify behavioral inconsistencies, misclassifications, or hallucinations, review and validate AI-generated suggestions, summaries, and classifications, provide actionable feedback to improve intent models and redaction/PII handling, run bias, redaction, and transcription accuracy checks, spot patterns or emerging issues across test sets, and contribute ideas for improving internal QA processes and tools.
Partner Sales Manager, Five9
As an AI Quality Assurance Intern, you will execute structured test plans for AI Agent implementations, validate that intents, entities, and workflows trigger correctly, identify behavioral inconsistencies, misclassifications, or hallucinations, review and validate AI-generated suggestions, summaries, and classifications, provide actionable feedback to improve intent models and redaction/PII handling, run bias, redaction, and transcription accuracy checks, spot patterns or emerging issues across test sets, and contribute ideas for improving internal QA processes and tools. You will help ensure the AI systems act as intended, follow correct business logic, and provide accurate and safe outputs to end users.
Full Stack Software Engineer - Enterprise Agents
Own the full product development lifecycle for new platform capabilities and product experiences end-to-end. Collaborate closely with internal customers to understand their problems and implement effective solutions. Work with the research team to share relevant feedback and iterate on applying their latest models.
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