Senior Machine Learning Engineer - Automatic Speech Recognition (ASR)

Embedded Shishya; Deutschland; Hybrid; EUR 176.000 - 232.000; Vollzeit

Benefits dieser Stelle

Medical coverage

Remote work setup budget

Parental leave

Retirement plan

Wellness stipend

Meal program

Zusammenfassung

Cresta is seeking a Senior Machine Learning Engineer, Voice Experience to advance AI-powered voice systems for contact centers. You will design, train, and deploy real-time voice models, optimize latency, and ensure robust performance in production environments.

Work with researchers, product managers, and engineers to translate research into scalable, customer-impacting solutions across conversations, ASR, and language understanding.

Qualifikationen

• Experience building and deploying ML systems in production.
• 1

Aufgaben

• Design, train, evaluate, and deploy ML systems for real-time voice experiences.
• 2
• Improve voice AI quality through error analysis and data curation.
• 3
• Build evaluation frameworks for voice and agentic systems.
• 4
• Diagnose and mitigate failure modes across the voice stack.
• 5
• Design low-latency ML workflows for live conversations.
• 6
• Collaborate with platform and backend engineers to productionize real-time inference.
• 7
• Mentor engineers and contribute to technical strategy.

Kenntnisse

Production ML

ASR/NLP

ML frameworks

Real-time systems

Ausbildung

Bachelor's degree in CS/Math/ML

Master's or PhD preferred

Tools

PyTorch

TensorFlow

Hugging Face

Jobbeschreibung

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 Senior Machine Learning Engineer, 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, downstream language understanding, retrieval-augmented and agentic workflows, quality measurement, text to speech, 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, 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 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.

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.
• 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.

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. This last item is an inference from the business context of all three roles, rather than a directly stated qualification.

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 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

Compensation at Creta:

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 + Offer Equity

This posting will be used to fill a newly-created role.