Senior Machine Learning Engineer (MLOPs)

San Francisco
AI & Biometrics
Apply Now

Worldcoin participates in the E-Verify Program

Worldcoin is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.

Worldcoin is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.

About the Company:

Worldcoin is a new, collectively owned global currency that will be distributed fairly to as many people as possible. Worldcoin will launch by giving a free share to everyone on Earth. We believe that this is an essential step to accelerate the transition towards a more inclusive global economy, providing new ways for everyone to share future prosperity. We hope you’ll join us on our ambitious journey.

About the Team:

The AI & Biometrics team is building a state-of-the-art iris recognition engine that works on the 1B+ people scale. In order to do this, we use a fusion of custom optics, hardware, and on-device machine learning, combined with large-scale data collection in more than 20 countries to amass over several million images monthly. These images need to be pre-processed and passed through both external and in-house labelling services.

About the Opportunity:

You will be leading the development of internal-facing tools that will enable the development of cutting-edge computer vision models, making you a key to our success in onboarding a billion people in crypto.

As the AI team scales and the number of deployed models grows, you will industrialize our ML frameworks and implement MLOps tools to take us to the next level.

In this role you will: 

  • Architect, implement, test, and maintain core technology of our deep learning training and inference pipelines.
  • Create frameworks and build tools for the entire ML lifecycle: Training, inference, deployment, MLOps, active learning, etc. 
  • Work transversely with the whole AI team to define their needs and implement the right tool
  • Produce clean, maintainable and production-proof code and frameworks

About You:

  • You have 5+ years of experience using Python and a ML framework (preferably Pytorch) building robust and clean ML tools (e.g. training and inference frameworks)
  • You have industry experience as a Software engineer or Machine Learning Engineer developing, debugging, testing, and deploying ML models
  • You love clean and well-designed code, and want to raise the bar

Nice to have :

  • Experience in Computer Vision, Active Learning
  • Experience with biometric data
  • Experience with MongoDB, AWS S3, Docker, Rust



Senior Machine Learning Engineer (MLOPs)

Apply Now


AI & Biometrics


San Francisco / Erlangen / Berlin