Lead Engineer - AI Agent Voice Experience

Cresta
United States
Workplace: RemoteFull timeUSD 205,000 - 270,000 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: bachelorsSkills: ["Communication","Collaboration","Problem-solving","Teamwork"]

Senior ML Engineer focused on building and evaluating production-grade ML models for Automatic Speech Recognition (ASR) and downstream NLP tasks. You’ll design rigorous evaluation frameworks, drive ASR quality improvements, analyze large-scale speech/text data, and collaborate with researchers, product teams, and engineers to translate model gains into business impact through scalable pipelines.

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FursaFursa
Cresta
Cresta
4 months ago

Lead Engineer - AI Agent Voice Experience

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Senior ML Engineer focused on building and evaluating production-grade ML models for Automatic Speech Recognition (ASR) and downstream NLP tasks. You’ll design rigorous evaluation frameworks, drive ASR quality improvements, analyze large-scale speech/text data, and collaborate with researchers, product teams, and engineers to translate model gains into business impact through scalable pipelines.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Design, implement, and maintain evaluation frameworks to measure model accuracy, robustness, latency, and real-world performance across ASR and NLP systems.
  • •Lead ASR quality improvement efforts, including error analysis, dataset curation, metric definition (e.g., WER and task-specific metrics), and model iteration.
  • •Analyze large-scale speech and text data to identify failure modes and drive targeted model and data improvements.
  • •Develop, train, and deploy machine learning models for speech recognition and downstream tasks such as classification, entity recognition, information extraction, and structured insight generation.
  • •Partner with applied research to translate experimental improvements into production-ready systems.

Pay and Benefits

Salary: USD 205,000 - 270,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionRemote WorkParental LeaveRetirement SavingsWellness StipendCommuter BenefitsMeal Program

Key Requirements

  • •Master’s or Ph.D. in Computer Science, Machine Learning, AI, or a related field.
  • •5+ years of hands-on experience building, evaluating, and deploying ML models in production.
  • •Strong background in speech recognition (ASR), speech processing, or closely related domains.
  • •Deep experience with model evaluation, benchmarking, and error analysis for ML systems.
  • •Experience building data pipelines and tooling for large-scale experimentation and quality analysis.
Experience:5+ yearsASRNLPMachine learning
Education:Bachelor's
Skills:CommunicationCollaborationProblem-solvingTeamwork
Languages:English
Tech Stack:PyTorchTensorFlowHugging FaceTransformers

Company Brief

Cresta
Builds AI-driven real-time coaching and assistance for customer-facing teams, using conversational intelligence to improve agent performance, automate workflows, and boost customer outcomes across contact centers and sales operations.
Industry: SaaS
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Headquarters: San Francisco, United States
Founded: 2017
WebsiteLinkedIn