Lead AI Voice Experience Engineer

Fdetimes; United States; Remote; USD 205,000 - 270,000; Full time

Benefits offered by this job

Comprehensive medical, dental, and vis

Flexible PTO

Parental leave

Retirement savings support

Remote work setup budget

Wellness and comms allowance

Job summary

Cresta is seeking a Lead Engineer, AI Agent Voice Experience to shape the next generation of AI-powered voice systems for the contact center. You will work at the intersection of speech, language, and real-time production systems to improve how AI listens, understands, reasons, and responds in live conversations.

You will collaborate with researchers, product managers, designers, and platform engineers to deliver low-latency, production-grade solutions, and you will mentor engineers while

Qualifications

• Bachelor's degree in CS, Math, ML, or related field; Master’s or Ph.D. preferred.
• 5+ years of experience building, evaluating, and deploying ML systems in production.
• Strong leadership and ability to influence cross-functional decisions.
• Vision for the future of voice AI and production ML systems.

Responsibilities

• Design, train, evaluate, and deploy real-time voice ML systems.
• Improve real-world performance via error analysis and data curation.
• Build evaluation frameworks for speech and agentic systems.
• Diagnose and mitigate failures across the voice stack.
• Design and optimize low-latency ML systems for caller experience.
• Collaborate with platform engineers to productionize inference pipelines.
• Work with product, design, frontend, and backend teams.
• Mentor engineers and shape the roadmap for Cresta's voice AI.

Skills

ML in production

Speech recognition

NLP

Transformer models

System design

Cross-functional leadership

Latency optimization

Education

Bachelor's in CS/Math/ML

Master's/PhD preferred

Tools

TensorFlow

PyTorch

Airflow

Kubernetes

Job description

Cresta is seeking a Lead Engineer, AI Agent Voice Experience to shape the next generation of AI-powered voice systems for the contact center. You will work at the intersection of speech, language, and real-time production systems to improve how AI listens, understands, reasons, and responds in live conversations.

You will collaborate with researchers, product managers, designers, and platform engineers to deliver low-latency, production-grade solutions, and you will mentor engineers while