Lead Engineer - AI Agent Voice Experience

Bachelor’s degree in Computer Science, Mathematics, Machine Learning, AI, or a related field; Master’s or Ph.D. preferred.

5+ years of experience building, evaluating, and deploying machine learning systems in production.

Demonstrated experience in leading fast-moving, highly technical teams. Strong communication skills, with the ability to influence cross-functional decisions and raise the engineering bar.

Distinctive technical vision for the future of voice AI.

Strong background in one or more of the following: speech recognition, speech processing, NLP, generative AI, or voice AI.

Deep experience with model evaluation, benchmarking, error analysis, and quality improvement for production ML systems.

Solid understanding of transformer-based models, embeddings, retrieval systems, and large-scale training or inference workflows.

Experience designing and deploying real-time ML systems with strong requirements around latency, scalability, and reliability.

Experience building data pipelines and tooling for experimentation, measurement, and large-scale quality analysis.

Ability to work across research and engineering boundaries and translate promising ideas into production-grade systems.

Hands-on experience with ASR quality metrics such as WER and task-level evaluation methodologies.

Experience with RAG systems, agentic workflows, multi-step reasoning systems, or LLM-as-a-judge evaluation methods.

Familiarity with streaming inference, real-time voice pipelines, or media systems.

Experience working closely with infrastructure or platform teams on production ML deployment, observability, and reliability.

Experience in contact center AI, conversational intelligence, or enterprise voice products.

We offer a comprehensive and people-first benefits package to support you at work and in life:

Comprehensive medical, dental, and vision coverage with plans to fit you and your family

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

Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table.

The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family.

Salary Range: $205,000–$270,000 + Offers Equity

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai