Lead Engineer - AI Agent Voice Experience
Cresta · United States (Remote)
Posted about 3 months ago · $205,000–$270,000
or apply directly on Cresta's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 80 days Cresta's roles stay open a median of 80 days
- Reposted
- No
- Salary listed
- Yes 45% of Cresta's roles list one
- Ghost-job risk at Cresta
- high 94 stale, 1 reposted of 95 open
- Hiring momentum
- 118 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-22
Measured from postings appearing on and disappearing from Cresta's own greenhouse board since 2026-08-03. Full hiring picture for Cresta.
About this role
As a Lead Engineer for AI Agent Voice Experience at Cresta, you will develop and enhance machine learning systems that power real-time voice interactions in contact centers. Your responsibilities will include designing and deploying systems for speech recognition, turn detection, and voice evaluation while collaborating with cross-functional teams to ensure high-quality performance and user experience. You will also mentor other engineers and contribute to the technical strategy for voice AI systems.
- benefits
- 4/5
- freshness
- 1/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Cresta as an employer.
What you need
- 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
Nice to have
- 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
What you get
- 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
Worth weighing
- No specific details on the technology stack or tools used in machine learning systems
- The role involves both model quality and production realities, which may require balancing research and engineering priorities
- Salary range provided, but final offers depend on various factors like experience and geography
Summarised from Cresta's posting. Read the full original.
Listed by Cresta on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.
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