Remote opportunity at
CrestaLead Engineer - AI Agent Voice Experience
Cresta seeks a Lead Engineer, AI Agent Voice Experience to help create next-generation automated voice solutions for contact centers. Operating remotely, this position focuses on building…
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About This Role
Cresta seeks a Lead Engineer, AI Agent Voice Experience to help create next-generation automated voice solutions for contact centers. Operating remotely, this position focuses on building end-to-end machine learning systems that enable AI to process, comprehend, reason, and converse naturally during live customer interactions. Cresta operates a unified conversational intelligence platform utilized by major global enterprises, combining generative AI, real-time agent support, and automated voice capabilities. This opportunity suits an…
Job Description
Cresta seeks a Lead Engineer, AI Agent Voice Experience to help create next-generation automated voice solutions for contact centers. Operating remotely, this position focuses on building end-to-end machine learning systems that enable AI to process, comprehend, reason, and converse naturally during live customer interactions. Cresta operates a unified conversational intelligence platform utilized by major global enterprises, combining generative AI, real-time agent support, and automated voice capabilities.
This opportunity suits an experienced machine learning professional who bridges the gap between theoretical model performance and production constraints. The individual will design evaluation frameworks, analyze failure points, optimize latency, and elevate caller experiences at scale. Daily responsibilities involve collaborating with applied researchers, product teams, and platform engineers to transition promising models into robust production environments.
The position includes a competitive base salary alongside equity opportunities and a comprehensive benefits package designed to support both professional and personal well-being.
Responsibilities
- Design, train, evaluate, and deploy machine learning systems for real-time voice interactions including speech-to-text, text-to-speech, speech-to-speech, turn detection, and reasoning
- Enhance voice AI quality through error analysis, dataset curation, benchmark creation, and iterative model refinement
- Build evaluation frameworks to measure accuracy, latency, robustness, naturalness, faithfulness, professionalism, and cost
- Identify and resolve failure modes such as transcription errors, tool misuse, hallucinations, prompt brittleness, and context drift
- Build and optimize low-latency machine learning pipelines that support natural caller interactions like backchanneling and emotion interpretation
- Partner with platform and backend teams to productionize streaming pipelines, real-time inference, and continuous iteration
- Work alongside product, design, and engineering groups to integrate voice intelligence into the platform
- Mentor team members and help define the technical direction for voice AI development
Requirements
- 5+ years of experience building, evaluating, and deploying machine learning models in production
- Proven track record of leading fast-moving and technically complex teams
- Strong communication abilities to guide cross-functional decisions
- Background in areas such as speech recognition, generative AI, speech processing, NLP, or voice AI
- Experience with model benchmarking, error analysis, and quality enhancement for production machine learning systems
- Familiarity with transformer architectures, embeddings, retrieval systems, and large-scale training or inference
- Experience building real-time machine learning systems with strict requirements regarding latency, reliability, and scalability
- Experience developing data pipelines and tooling for measurement, experimentation, and quality analysis
Qualifications
- Bachelor degree in Computer Science, Mathematics, Machine Learning, AI, or a related discipline
- Master degree or Ph.D. in a relevant field
- Hands-on familiarity with ASR quality metrics including Word Error Rate and task-level assessment methods
- Experience working with RAG systems, agentic workflows, multi-step reasoning, or LLM-as-a-judge evaluations
- Familiarity with streaming inference, media systems, or real-time voice pipelines
- Experience collaborating with infrastructure teams on production deployment, observability, and reliability
- Background in enterprise voice products, contact center AI, or conversational intelligence
Core Skills
Benefits
- Comprehensive medical, dental, and vision insurance options
- Flexible paid time off
- 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 perks for employees working onsite
- Equity in the company
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the location and remote policy for this role?
This position is remote.
What is the salary range for the Lead Engineer position?
The posted base salary range is USD 205,000 to 270,000 per year, with final offers determined by factors such as experience, skills, education, and geography. Equity is also included in total compensation.
What experience level is required?
Candidates must have five or more years of experience building, evaluating, and deploying production machine learning systems, along with experience leading highly technical teams.
What educational background is preferred?
A bachelor degree in Computer Science, Mathematics, Machine Learning, AI, or a related field is required, with a Master or Ph.D. preferred.
Sample Interview Questions
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