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Machine Learning Engineer, Multimodal Perception and Authentication

Label Your Data·Salary not specified

Primary stack

Machine LearningPythonC++PyTorch

Nice to have's

multimodal modelssensing hardwarereal-time systemsexperiment designmodel evaluation

Job description

About the Position

Machine Learning Engineer, Multimodal Perception and Authentication

San Francisco

About the Team

The Future of Computing Research team is an applied research team within OpenAI’s Consumer Devices group. We study how AI systems perceive people and their surroundings, and we turn that research into capabilities for future products.

Our work spans machine learning, sensing, and hardware, with a focus on building systems that work beyond controlled environments.

About the Role

We’re looking for a machine learning engineer to help shape how future AI systems understand the physical world and the people in it. The role focuses on multimodal perception and authentication, bringing together signals from cameras, microphones, and other sensors.

You’ll work with specialized perception models and larger multimodal models, and partner with hardware, firmware, software, and product teams to bring new research into real-world systems.

This role is based in San Francisco. We work in the office three days per week and offer relocation assistance.

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 that improve performance in real-world conditions.
  • Study model behavior, robustness, and failure modes across sensing, data, and deployment environments.
  • Integrate and validate new capabilities in real-time or resource-constrained systems.
  • Work with hardware, firmware, software, and product teams to turn 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.
  • Proficiency in designing experiments, building evaluations, and investigating model behavior.
  • Experience with sensing hardware, real-time systems, or other deployment constraints.
  • Proficiency in Python and PyTorch and comfortable with C++ or systems integration.
  • Experience with authentication, biometrics, or other privacy-sensitive applications.

Nice to Have

  • Experience working across disciplines on research problems that are still taking shape.

We Offer

  • Opportunity to work in a cutting-edge field of AI research.
  • Collaborative environment with diverse teams.
  • Relocation assistance for the San Francisco office.

About the Company

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. We are an equal opportunity employer and value diversity in our workplace.

Join us in shaping the future of technology.

© Label Your Data. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

Label Your Data provides secure and high quality data annotation services for Computer Vision or NLP applications since 2020. We help Data Scientists and AI Engineers streamline the dataset labeling and focus on model development.About Label Your Data:— Founded in 2020;— 200+ annotation experts in Europe, LATAM and Africa;— 98%+ annotation accuracy benchmark;— 55 supported languages;— PCI/DSS certified;— ISO/IEC 27001:2013 certified;— GDPR, CCPA and HIPAA-compliant;— HQs in North America, EU and Asia.Our experience spans over 20 industries including Automotive, Robotics, Agriculture, E-commerce, Retail, Healthcare, Manufacturing, Fintech and Insurance.Our core services include but are not limited to:— Image & video annotation: 2D boxes, OCR, object/action detection, polygons, key points, semantic segmentation, 3D cuboids;— Text annotation: classification, NER, intent & sentiment analysis, prompts creation, Q&A pairs generation;— Audio annotation: transcription, sentiment recognition;— Sensor data annotation;— Data classification & categorization;— Data entry;— Data collection;— Model validation.

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