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Job
· Senior
Senior Machine Learning Engineer - Voice Experience
AI / ML Engineer
• Senior
• Remote
• Full-time
•
USA
Help build the next generation of AI-powered voice systems for the contact center, working at the intersection of speech, language, and real-time production systems to improve how AI listens, understands, and responds in live customer conversations.
Responsibilities
- ▹Design, train, evaluate, and deploy ML systems powering real-time voice experiences (ASR, speech understanding, turn detection, TTS, summarization)
- ▹Improve voice AI quality through error analysis, data curation, metric design, and iterative model improvement
- ▹Build evaluation frameworks for complex voice and agentic systems (accuracy, robustness, latency, naturalness)
- ▹Diagnose and mitigate failure modes across the voice stack (transcription errors, hallucinations, retrieval failures)
- ▹Design and optimize low-latency ML workflows for live conversations
- ▹Partner with platform and backend engineers to productionize real-time inference and streaming pipelines
- ▹Mentor engineers and contribute to technical strategy for Cresta's voice AI systems
Requirements
- ▹Bachelor's degree in Computer Science, Mathematics, Machine Learning, AI, or related field; Master's or Ph.D. preferred
- ▹5+ years of experience building, evaluating, and deploying ML systems in production
- ▹Strong background in speech recognition, speech processing, NLP, generative AI, or conversational AI
- ▹Deep experience with model evaluation, benchmarking, and error analysis for production ML systems
- ▹Strong expertise with modern ML frameworks (PyTorch, TensorFlow, Hugging Face)
- ▹Solid understanding of transformer-based models, embeddings, and retrieval systems
- ▹Experience designing and deploying real-time ML systems with latency, scalability, and reliability requirements
Nice to have
- ▹Hands-on experience with ASR quality metrics (e.g., WER)
- ▹Experience with RAG systems, agentic workflows, or LLM-as-a-judge evaluation methods
- ▹Familiarity with streaming inference or real-time voice pipelines
- ▹Experience working closely with infrastructure or platform teams
- ▹Experience in contact center AI, conversational intelligence, or enterprise voice products
Soft skills
Strong technical leadership and communicationBalancing model quality with production realityMentoring ability
What we offer
- ▹Comprehensive medical, dental, and vision coverage
- ▹Flexible PTO
- ▹Paid parental leave
- ▹Retirement savings plan
- ▹Remote work setup budget
- ▹Monthly wellness and communication stipend
- ▹In-office meal program and commuter benefits
- ▹Base salary: $205,000–$270,000 + equity
About the company
Cresta unlocks the true potential of the customer experience with its unified AI platform combining conversational AI agents, real-time human agent augmentation, and conversation intelligence. Born from the Stanford AI Lab, it has raised over $270 million from leading investors.
Education: Informatika, matematika, gépi tanulás vagy kapcsolódó szakirányú alapdiploma (MSc/PhD előny)
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