Tbwa Chiat/Day Inc
Staff/Principal Software Engineer, Data
Tbwa Chiat/Day Inc, San Francisco, California, United States, 94199
World is a network of real humans, built on privacy-preserving proof-of-human technology, and powered by a globally inclusive financial network that enables the free flow of digital assets for all. It is built to connect, empower, and be owned by everyone.
This opportunity would be with Tools for Humanity.
About the AI & Biometrics Team:
The AI & Biometrics team is building a biometric recognition system that can work reliably with more than a billion users and enables them to claim their free share of WLD. We use cutting-edge machine learning models deployed on custom hardware to enable high-quality image acquisition, identification, and fraud prevention, all while requiring minimal user interaction. We are building a biometric recognition and fraud detection engine that works on the 1bn people scale. Therefore, its performance needs to out-perform all the current recognition technologies. We leverage our powerful custom-made iris recognition and presentation attack detection device, the Orb, combined with the latest research from the field of AI and Deep Learning. About the Opportunity:
We are seeking a dynamic Senior Software Developer for AI Backend to join our innovative AI & Biometrics team. In the wake of transitioning to an app-centric architecture, the new role will focus on the backend development and management of data services essential for our operations. The successful candidate will be pivotal in overseeing and enhancing the security and functionality of our systems, ensuring robust data handling and seamless service delivery. Key Responsibilities:
Lead the development and maintenance of backend services, focusing on secure data upload and download processes. Ensure high data security and privacy standards. Collaborate closely with other teams to enhance cross-functional systems and security measures, ensuring compliance with the latest industry standards. Oversee and optimize container orchestration and automation tools such as Kubernetes, ArgoCD, and Airflow. Participate in on-call rotations and maintenance duties, addressing critical issues swiftly to maintain service continuity. Drive continuous improvement initiatives in software quality and system operations, setting benchmarks and leading the team toward best practices in software development. Contribute to developing our labeling and data collection platform using Next.js; basic full-stack development skills are beneficial. About You:
Proven experience in backend development, preferably in a senior role managing AI-driven applications. Strong programming skills in Python and Go; experience with GitHub Actions, and Terraform is highly desirable. Expertise in managing and deploying applications on cloud platforms like AWS, with a strong grasp of permission management and security protocols. Experience with database management and operations using tools like MongoDB, Redis, and other NoSQL databases. Knowledge of MLOps and large-scale machine learning model training tooling (e.g., MLflow, AWS pCluster, SLURM) is a plus. Thrive in a high-paced environment, able to perform outstanding work in short timelines. Exceptional communication skills and fluency in English are crucial for effective teamwork and cross-team collaborations. Ability to lead and inspire a team, advocating for software excellence and innovative practices. Nice to Have:
Experience in full-stack development, particularly with Next.js Experience in development with Rust. Familiarity with Zero Knowledge Proofs (ZKP) and their application in software security.
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About the AI & Biometrics Team:
The AI & Biometrics team is building a biometric recognition system that can work reliably with more than a billion users and enables them to claim their free share of WLD. We use cutting-edge machine learning models deployed on custom hardware to enable high-quality image acquisition, identification, and fraud prevention, all while requiring minimal user interaction. We are building a biometric recognition and fraud detection engine that works on the 1bn people scale. Therefore, its performance needs to out-perform all the current recognition technologies. We leverage our powerful custom-made iris recognition and presentation attack detection device, the Orb, combined with the latest research from the field of AI and Deep Learning. About the Opportunity:
We are seeking a dynamic Senior Software Developer for AI Backend to join our innovative AI & Biometrics team. In the wake of transitioning to an app-centric architecture, the new role will focus on the backend development and management of data services essential for our operations. The successful candidate will be pivotal in overseeing and enhancing the security and functionality of our systems, ensuring robust data handling and seamless service delivery. Key Responsibilities:
Lead the development and maintenance of backend services, focusing on secure data upload and download processes. Ensure high data security and privacy standards. Collaborate closely with other teams to enhance cross-functional systems and security measures, ensuring compliance with the latest industry standards. Oversee and optimize container orchestration and automation tools such as Kubernetes, ArgoCD, and Airflow. Participate in on-call rotations and maintenance duties, addressing critical issues swiftly to maintain service continuity. Drive continuous improvement initiatives in software quality and system operations, setting benchmarks and leading the team toward best practices in software development. Contribute to developing our labeling and data collection platform using Next.js; basic full-stack development skills are beneficial. About You:
Proven experience in backend development, preferably in a senior role managing AI-driven applications. Strong programming skills in Python and Go; experience with GitHub Actions, and Terraform is highly desirable. Expertise in managing and deploying applications on cloud platforms like AWS, with a strong grasp of permission management and security protocols. Experience with database management and operations using tools like MongoDB, Redis, and other NoSQL databases. Knowledge of MLOps and large-scale machine learning model training tooling (e.g., MLflow, AWS pCluster, SLURM) is a plus. Thrive in a high-paced environment, able to perform outstanding work in short timelines. Exceptional communication skills and fluency in English are crucial for effective teamwork and cross-team collaborations. Ability to lead and inspire a team, advocating for software excellence and innovative practices. Nice to Have:
Experience in full-stack development, particularly with Next.js Experience in development with Rust. Familiarity with Zero Knowledge Proofs (ZKP) and their application in software security.
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