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Machine Learning Engineer

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Machine Learning Engineer in USA

  • San Francisco, CA

Responsibilities

  • Research and develop multimodal perception and authentication methods across visual, audio, and other sensing signals.
  • Explore how specialized perception models and larger multimodal models can work together.
  • Design data, training, and evaluation approaches for real-world performance.
  • Study model behavior, robustness, and failure modes across sensing, data, and deployment environments.
  • Integrate and validate capabilities in real-time or resource-constrained systems.
  • Partner with hardware, firmware, software, and product teams to bring research into working systems.

Requirements

  • Strong background in computer vision, audio or speech machine learning, multimodal learning, or sensing.
  • Experience developing specialized machine learning models, larger multimodal models, or both.
  • Experience bringing research ideas into practical systems, prototypes, or products.
  • Ability to design experiments, build evaluations, and investigate model behavior.
  • Experience with sensing hardware, real-time systems, or other deployment constraints.
  • Proficiency in Python and PyTorch and comfort with C++ or systems integration.
  • Experience with authentication, biometrics, or other privacy-sensitive applications.

Benefits

  • San Francisco office-based role with three days per week in the office.
  • Relocation assistance is offered.
  • Reasonable accommodations are available for applicants with disabilities.

Salary: $342k - $399k/yr

OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. AI is an extremely powerful tool that must be created with safety and human needs at its core. OpenAI is dedicated to putting that alignment of interests fi...

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