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Seer

Senior Machine Learning Engineer

Seer, San Francisco

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Join to apply for the Senior Machine Learning Engineer role at Seer

Join to apply for the Senior Machine Learning Engineer role at Seer

Do you want to build and deploy cutting-edge AI technology that helps people get unparalleled value from meetings and conversations?
Join the core AI team at a trailblazing company focused on machine learning innovation. You’ll work side by side with industry-veteran scientists and engineers to transform groundbreaking research into scalable, production-ready systems—powering the next generation of summarization and conversational intelligence tools.
Your Impact

  • Build and optimize robust SID/ASR/NLP/LLM pipelines that support real-time summarization, chat, and other core product experiences
  • Scale training, fine-tuning, and inference for large language models using frameworks like PyTorch or JAX
  • Collaborate with research scientists to bring experimental models into production
  • Ensure AI systems meet production-grade standards for reliability, latency, and scalability
  • Monitor and improve model performance using real-world conversational data
  • Develop tooling, infrastructure, and data pipelines for automated model training, evaluation, and deployment in the cloud
What We’re Looking For
  • Bachelor’s or Master’s degree in Computer Science or related field
  • 5+ years of relevant industry experience working with ML models
  • Hands-on experience fine-tuning or post-training LLMs or foundation models
  • Deep understanding of the ML research landscape and current state-of-the-art techniques
  • Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX
  • Experience deploying, monitoring, and maintaining ML models in production
  • Strong background in data processing, feature engineering, and working with large datasets
  • Proven ability to collaborate cross-functionally with engineering, data science, and product teams
  • Experience leading projects and mentoring junior team members
Bonus Points For
  • Experience with large-scale ML system deployment
  • Background in ASR/TTS or sequence-based NLP tasks such as summarization

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Engineering and Information Technology
  • Industries

    Staffing and Recruiting

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