Machine Learning Engineer - Real-Time Multimodal Perception

About the Role

OpenAI seeks a Machine Learning Engineer to build multimodal ML systems that deliver secure, lowfriction user authentication and intelligent device perception. You will work at the intersection of modeling and systems engineering, architecting data pipelines and defining durable feature interfaces for video, audio, and future signals. You will build perception and decision pipelines and harden everything for deployment in realworld environments.

Key Responsibilities

• Develop multimodal authentication and identityconfidence models across video and audio, with room to incorporate additional signals as they become available. Drive robustness across diverse conditions.

• Architect data systems and scalable dataaugmentation and simulation pipelines that expand edgecase coverage and increase model value.

• Build and tune production inference and decision stacks, and use telemetry to improve reliability in the field.

• Develop failureanalysis systems that detect drift, false accepts and false rejects, and calibration issues, enabling rapid iteration loops.

• Partner closely with hardware, firmware, and research teams to integrate sensors, shape model design, and take systems to production.

Ideal Candidate

• Has shipped ML systems in production where reliability mattered (e.g., safety, access control, payments).

• Brings experience with authentication, biometrics, or accesscontrol machine learning.

• Strong background in computer vision, audio ML, and multimodal fusion.

• Proficient in C++ and Python with deep PyTorch experience, strong systems debugging skills, and a securityaware mindset.

Bonus

• Built scalable failureanalysis and modeltransparency tooling (evaluation harnesses, telemetry analytics, interpretability workflows).

• Background optimizing ML for realtime or lowlatency environments.

About OpenAI

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. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

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At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Compensation Range: $405K