Senior Machine Learning Engineer, Voice Experience

Cresta

. Design, train, evaluate, and deploy machine learning systems that power real-time voice experiences, including ASR, speech understanding, turn detection, text to speech, speech to speech, classification, entity extraction, summarization, and structured insight generation.

Posted 4/24/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $205,000 - $270,000 per yearWebsite

Tech Stack

Tools & technologies

PyTorchTensorflow

About the role

Key responsibilities & impact

Design, train, evaluate, and deploy machine learning systems that power real-time voice experiences, including ASR, speech understanding, turn detection, text to speech, speech to speech, classification, entity extraction, summarization, 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, retrieval failures, tool misuse, prompt brittleness, context drift, and multi-step reasoning breakdowns.
Design and optimize low-latency ML workflows for live conversations, balancing model quality with system responsiveness, scalability, and reliability.
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.
Establish best practices for offline evaluation, online experimentation, model validation, observability, and ongoing quality monitoring in production.
Mentor engineers, contribute to technical strategy, and help shape the roadmap for Cresta’s voice AI systems.

Requirements

What you’ll 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.
Strong background in one or more of the following: speech recognition, speech processing, NLP, generative AI, or conversational AI.
Deep experience with model evaluation, benchmarking, error analysis, and quality improvement for production ML systems.
Strong expertise with modern ML frameworks and tooling such as PyTorch, TensorFlow, and Hugging Face.
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.
Strong communication and technical leadership skills, with the ability to influence cross-functional decisions and raise the engineering bar.

Benefits

Comp & perks

Comprehensive medical, dental, and vision coverage with plans to fit you and your family
Flexible PTO to take the time you need, when you need it
Paid parental leave for all new parents welcoming a new child
Retirement savings plan to help you plan for the future
Remote work setup budget to help you create a productive home office
Monthly wellness and communication stipend to keep you connected and balanced
In-office meal program and commuter benefits provided for onsite employees

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningspeech recognitionspeech processingnatural language processinggenerative AIconversational AImodel evaluationerror analysisquality improvementdata pipelines

Soft Skills

communicationtechnical leadershipcross-functional collaborationmentoringinfluencing decisions

Certifications

Bachelor’s degree in Computer ScienceMaster’s degree in Computer SciencePh.D. in Computer Science