Lead Engineer AI Agent Voice Experience
Cresta is an enterprise customer-experience AI platform that unifies autonomous AI agents, real-time agent assistance, and conversation intelligence for contact centers.
Funding history
About Cresta
Cresta Intelligence, Inc. operates Cresta, a human-centric AI platform for enterprise contact centers. Its products automate selected customer conversations, assist human agents in real time, and analyze conversations to improve customer experience, revenue, and operating efficiency.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will design, train, evaluate, and deploy end-to-end machine learning systems for real-time voice experiences. You will improve quality through evaluation, benchmarking, error analysis, and data curation; resolve voice-stack failure modes; optimize latency and reliability; and mentor engineers while shaping the technical roadmap.
Requirements
- Bachelor's degree in Computer Science, Mathematics, Machine Learning, AI, or a related field
- 5+ years of experience building, evaluating, and deploying production machine learning systems
- Experience leading fast-moving technical teams
- Background in speech recognition, speech processing, NLP, generative AI, or voice AI
- Experience with model evaluation, benchmarking, error analysis, and quality improvement
- Understanding of transformer-based models, embeddings, retrieval systems, and large-scale training or inference workflows
- Experience designing and deploying real-time ML systems with latency, scalability, and reliability requirements
- Experience building data pipelines and experimentation and measurement tooling
Responsibilities
- Design, train, evaluate, and deploy machine learning systems for real-time voice experiences
- Improve voice AI quality through error analysis, data curation, metric design, benchmarking, and iterative model improvement
- Build evaluation frameworks for voice and agentic systems
- Diagnose and mitigate transcription, hallucination, tool-use, prompt, context, and reasoning failures
- Design and optimize low-latency ML systems for caller experiences
- Partner to productionize real-time inference, streaming pipelines, quality monitoring, and model iteration
- Integrate voice intelligence into the platform
- Mentor engineers and contribute to technical strategy and roadmap development
Benefits
- Medical, dental, and vision coverage
- Flexible PTO
- Paid parental leave
- Retirement savings support
- Remote work setup budget or work-from-home stipend
- Monthly wellness and communication allowance
- In-office meal or lunch benefits for onsite employees
- Equity