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Senior Machine Learning Engineer

Otter.ai· Engineering
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Mountain View, CA$230k - $265kfull-timePosted 7mo ago

About the role

Senior ML Engineer role focusing on building and deploying scalable ML systems for Otter’s summarization and conversational intelligence products, including large-scale SID/ASR/NLP/LLM workflows, productionizing research, and mentoring engineers.

Responsibilities

  • Architect, build, and evolve large-scale SID / ASR / NLP / LLM systems that power mission-critical product experiences including summarization, chat, and speech understanding across millions of conversations.
  • Lead the design and implementation of training, fine-tuning, post-training, and inference strategies for large language and speech models using PyTorch and/or JAX, balancing quality, latency, cost, and reliability.
  • Design and improve model architectures, loss functions, decoding strategies, and training techniques for speech and language models, informed by research and production constraints.
  • Own end-to-end ML system lifecycles, from research prototyping through production deployment, monitoring, iteration, and long-term maintenance.
  • Partner with product and infrastructure teams to translate cutting-edge research into scalable, production-grade systems with measurable impact.
  • Drive system-level improvements in model performance, robustness, observability, and operational excellence using real-world conversational data at scale.
  • Set technical direction and best practices for ML infrastructure, data pipelines, evaluation frameworks, and deployment workflows in cloud environments.
  • Identify and resolve complex, ambiguous problems in model behavior, data quality, scaling, and system interactions, often pre-empting user-visible issues.
  • Mentor and elevate other engineers, influencing team standards and technical decision-making.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science or related field with 5+ years of relevant industry experience; PhD preferred.
  • Deep, hands-on experience building and fine-tuning large language or foundation models, with production experience in ASR, TTS, multimodal, or modern LLM/NLP systems.
  • Strong command of modern ML research with ability to evaluate papers and drive production-worthy innovations.
  • Experience deploying, scaling, monitoring, and operating ML systems in production across training, inference, and serving infrastructure.
  • Comfort with large-scale speech and conversational datasets, including preprocessing, augmentation, quality analysis, and labeling strategies for training/evaluation.
  • Ability to lead technical projects independently, driving clarity in ambiguous problem spaces and making sound architectural decisions.
  • Experience or strong interest in agentic systems, tool-use frameworks, or multi-model orchestration.

Skills

Required:Large-scale ML model developmentTraining, fine-tuning, post-training, and inference strategiesPyTorch and/or JAX

Benefits

  • Competitive salary and comprehensive rewards package.
Last updated Aug 19, 2026. Interested? Apply on the company site.

About Otter.ai

Turn conversations into transcripts

Otter is the AI Notetaker that builds your knowledge base and powers your workflow with transcription, automated summaries, AI Chat, and more.

transcriptionAI NotetakersummariesAI Chatmeetingsproductivityintegrations
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