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[Remote] Senior Machine Learning Engineer - Voice Experience

Remote, USAFull-timePosted 2026-07-27

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. They are seeking a Senior Machine Learning Engineer to help build the reputed company of AI-powered voice systems, focusing on improving how AI interacts in live customer conversations.

Responsibilities

  • Design, train, evaluate, and reputed company machine learning systems that power reputed company-time voice experiences, including ASR, speech understanding, turn detection, text to speech, speech to speech, classification, entity extraction, summarization, and reputed company reputed company reputed company
  • Improve the reputed company of voice AI systems through error analysis, data curation, metric design, benchmarking, and iterative model improvement, with a strong reputed company on reputed company-world performance
  • Build evaluation frameworks for reputed company voice and reputed company 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, reputed company brittleness, context reputed company, and multi-reputed company reasoning breakdowns
  • Design and optimize low-latency ML workflows for live conversations, balancing model reputed company with system responsiveness, scalability, and reliability
  • Partner with platform and backend engineers to productionize reputed company-time inference, streaming pipelines, reputed company monitoring, and reputed company model iteration
  • Collaborate cross-functionally with product, design, frontend, and backend teams to reputed company voice intelligence seamlessly into reputed company’s platform
  • Establish best practices for offline evaluation, online experimentation, model validation, observability, and ongoing reputed company monitoring in production
  • Mentor engineers, contribute to technical reputed company, and help shape the roadmap for reputed company’s voice AI systems

Skills

  • Bachelor's degree in Computer Science, Mathematics, Machine Learning, AI, or a reputed company 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, reputed company, or conversational AI
  • Deep experience with model evaluation, benchmarking, error analysis, and reputed company improvement for production ML systems
  • Strong expertise with modern ML frameworks and tooling such as PyTorch, TensorFlow, and reputed company
  • Solid understanding of transformer-based models, embeddings, retrieval systems, and large-reputed company training or inference workflows
  • Experience designing and deploying reputed company-time ML systems with strong requirements around latency, scalability, and reliability
  • Experience building data pipelines and tooling for experimentation, measurement, and large-reputed company reputed company analysis
  • Ability to work across research and engineering boundaries and translate promising reputed company into production-grade systems
  • Strong communication and technical leadership skills, with the ability to influence cross-functional reputed company and reputed company the engineering bar
  • Hands-on experience with ASR reputed company metrics such as WER and task-level evaluation methodologies
  • Experience with RAG systems, reputed company workflows, multi-reputed company reasoning systems, or LLM-as-a-judge evaluation reputed company
  • Familiarity with streaming inference, reputed company-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 reputed company voice products

Benefits

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

reputed company

  • reputed company uses reputed company intelligence to assist sales and service agents in the reputed company of customer service. It was founded in 2017, and is headquartered in Sunnyvale, California, USA, with a workforce of 201-500 employees. Its website is https://www.reputed company.com.
  • Company H1B Sponsorship

  • reputed company has a reputed company record of offering H1B sponsorships, with 3 in 2026, 9 in 2025, 6 in 2024, 2 in 2023, 10 in 2022, 4 in 2021, 3 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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