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Added 7 hours ago
Inference Performance Engineer, Agent Driven Inference Optimization
NVIDIA USA
Remote, United States
NVIDIA is recruiting a Senior Inference Performance Engineer to push NVIDIA's performance limits on large-scale AI inference benchmarks. This position provides an outstanding opportunity to…
Added 3 days ago
C
Senior AI Developer
ClickUp
Remote, United States
- $200,000 to $250,000 USD / year
We're looking for a highly skilled and experienced Senior AI Engineer to join our ClickUp Engineering team, with a focus on AI evaluations. You'll own how we measure and improve the quality…
Added 6 days ago
K
Senior Software Engineer – AI Infrastructure
Kraken
Remote, United States
- $127,200 to $254,400 USD / year
…intelligent agents at scale. This team sits at the foundation of the agent platform, ensuring that model inference, orchestration, and execution layers are reliable, observable, and…
Added 7 days ago
Senior Compiler Engineer, Agentic Compiler Systems
NVIDIA USA
Remote, United States
Develop systems that can reason about low-level IR, code generation, optimization passes, scheduling, numerical precision, and performance tradeoffs across GPU-centric workloads.
Added 10 days ago
DC
Senior Engineer - ML Operations
Danaher Corporation
Remote, United States
- $180,000 to $220,000 USD / year
…and operate model serving for batch and low-latency online inference, including LLM inference, with autoscaling, GPU efficiency, and performance optimization (batching, quantization,…
Added 14 days ago
Senior, Full Stack Engineer
GlaxoSmithKline LLC
Remote, United States
The Senior Full Stack Engineer leads the design and delivery of a significant AI product area, spanning modelling workflows and user-facing applications. The role sets the team's standards…
Added 24 days ago
IG
AI Engineer (Principal Level) - REMOTE
Insight Global
Remote, United States
- From $95 USD / hour
We are seeking a AI Staff Engineer to lead the design and delivery of enterprise-scale Generative AI solutions that power next-generation healthcare experiences. This role goes beyond…
Added 24 days ago
AI
Staff Machine Learning Engineer
AppFolio Inc
Remote, United States
- $200,000 to $275,000 USD / year
We're hiring a Staff Machine Learning Engineer to help move forward the ML platform that every AI initiative at AppFolio depends on - training, fine-tuning, inference, RAG, evaluation, and…
Added 24 days ago
AI
Principal Machine Learning Engineer
AppFolio Inc
Remote, United States
- $264,000 to $363,000 USD / year
We're seeking a Principal Machine Learning Engineer to help define and lead the next generation of AI systems within Realm-X, and to drive AppFolio's long-term autonomous Real Estate…
Added 29 days ago
Principal Machine Learning Engineer
Vail Resorts
Remote, United States
We are looking for a curious, driven, innovative machine learning engineer who takes initiative to solve problems and create environments that accelerate the development, deployment, and…
Added 29 days ago
FA
Senior Software Engineer
First American Title Insurance Co
Remote, United States
- $129,300 to $172,300 USD / year
…LLMs and agentic systems into production. As a Senior Software Engineer, you will lead projects as part of a small, focused engineering delivery team, building intelligent, reliable…
Added 29 days ago
AI Platform Engineer
Fullthrottle.ai
Remote, United States
AI/ML Experience: Hands-on experience with AI/ML systems, including model integration, inference workflows, or lightweight model development, along with Amazon Bedrock (including AgentCore…
Added 29 days ago
A
Security Technical Lead - AI SOC
AHEAD
Remote, United States
- $160,000 to $200,000 USD / year
The Security Technical Lead - AI SOC is a production security engineer who works embedded with customer security and engineering teams to make security operations more effective,…
Added 29 days ago
O
Software Engineer
Origin
Remote, United States
- $170,000 to $215,000 USD / year
- Performance engineering mindset: complexity analysis, profiling-driven optimization, and discipline under resource constraints
Added 29 days ago
Staff Machine Learning Engineer
Payabli
Remote, United States
Payabli is looking for a Staff Machine Learning Engineer to set the technical direction for ML at Payabli. A few models are already live and driving real decisions: reducing time-to-clear…
Added 29 days ago
D
Sr. Backend Engineer - Engine Team: API
Deepgram
Remote, United States
- $150,000 to $220,000 USD / year
- Improve Deepgram’s core inference services including areas in networking, speech processing, audio transcoding, and latency and memory optimization
Added 29 days ago
D
Backend Engineer- Inference Services
Deepgram
Remote, United States
- $150,000 to $220,000 USD / year
- Improve Deepgram’s core inference services including areas in networking, speech processing, audio transcoding, and latency and memory optimization
Added 29 days ago
Staff Software Engineer, Security Factory: Static Analysis
GitLab
Remote, United States
…innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full…
Added 29 days ago
Senior Staff Software Engineer (AI)
Juniper Square
Remote, United States
We are seeking a Senior Staff Software Engineer to lead the architecture and evolution of the core systems that power Juniper Square - the distributed services, cloud infrastructure, and…
Added 29 days ago
AI / ML Engineer
E Source
Remote, United States
Joining E Source as a Senior AI/ML Engineer is an exciting opportunity to work with a dynamic and talented team, leveraging your skills to drive meaningful impact in the utility industry.…
Added 29 days ago
Lead Engineer - AI Agent Voice Experience
Cresta
Remote, United States
We are looking for a Lead Engineer, AI Agent Voice Experience to help build the next generation of AI-powered voice systems for the contact center. In this role, you will work at the…
Added 1 month ago
Senior Software Engineer (AI Applications)
CAI Cambium Assessment, Inc.
Remote, United States
We are seeking a Lead/Senior Software Engineer (AI Applications) to own the architecture and implementation of reliable and responsible agent orchestration systems. In this high-impact,…

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Cresta

Lead Engineer - AI Agent Voice Experience

Remote, United States

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Job details

Experience: 5+ years of experience building, evaluating, and deploying machine learning systems in production.
Posting language: English
Posted: Mar 17, 2026

Original job description

Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world’s leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day.

Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia. Cresta’s leadership includes some of the leading minds in AI today. Our CEO, Ping Wu, founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences.

Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta.

About the role

We are looking for a Lead Engineer, AI Agent Voice Experience to help build the next generation of AI-powered voice systems for the contact center. In this role, you will work at the intersection of speech, language, and real-time production systems, improving how AI listens, understands, reasons, empathizes, and responds in live customer conversations.

You will develop and improve machine learning systems that power voice experiences end to end, including automatic speech recognition, turn detection, agentic workflows, voice evaluation, text to speech, speech-to-speech models, and production optimization. You will partner closely with applied researchers, product managers, designers, forward deployed engineers, and platform engineers to ensure model and system improvements translate into measurable customer and business impact.

This role is ideal for someone who is excited by both model quality and production reality: designing rigorous evaluation frameworks, analyzing failure modes, improving latency and robustness, elevating caller interaction experience, and shipping systems that perform reliably at scale in real-time voice environments.

Responsibilities

Design, train, evaluate, and deploy machine learning systems that power real-time voice experiences, including speech to text turn detection, text to speech, speech to speech, reasoning and structured insight generation.
Improve the quality of voice AI systems through error analysis, data curation, metric design, benchmarking, and iterative model improvement, with a strong focus on real-world performance.
Build evaluation frameworks for complex voice and agentic systems, measuring metrics such as accuracy, robustness, latency, faithfulness, naturalness, professionalism, task completion, and cost.
Diagnose and mitigate failure modes across the voice stack, including transcription errors, hallucinations, tool misuse, prompt brittleness, context drift, and multi-step reasoning breakdowns.
Design, implement, and optimize low-latency ML systems that deliver delightful caller experience (e.g., backchanneling, focusing on foreground speaker, interpreting caller’s emotions, responding with empathy).
Partner with platform and backend engineers to productionize real-time inference, streaming pipelines, quality monitoring, and continuous model iteration.
Collaborate cross-functionally with product, design, frontend, and backend teams to integrate voice intelligence seamlessly into Cresta’s platform.
Mentor engineers, contribute to technical strategy, and help shape the roadmap for Cresta’s voice AI systems.

Qualifications we value

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.

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.

Perks & Benefits

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

Compensation

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 Our use of AI in recruiting: We may use AI tools in our recruiting process, which require human review and oversight. If you have questions about our use of AI or wish to opt out, please contact recruiting@cresta.ai (if you are opting out, please use the subject ‘Opt-Out’ in your email).

Recording & AI transcription: We do not authorize candidates to record or use AI transcription of any interview by phone, notetaker app, AI glasses, or other device. Candidates may request an exception or accommodation for review during the interview process as needed.

Recruiting impersonation scams: 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.

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More about this job

Skills

Machine learning
Speech recognition
ML
Computer science
Communication skills
Natural language processing
Research

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