Senior Platform Engineer, Privacy Preserving ML

We are seeking an experienced platform learning engineer and to join our team building privacy-preserving technologies for measurement and machine learning. Successful candidates will need to have a strong technical background and interest or experience with backend development and deploying data-intensive systems. Strong interpersonal skills and the ability to influence and build consensus are crucial to success in this role. You will be working across a range of technologies, so adaptability to new problems and systems is a core skill. Minimum Qualifications 2+ years of industry experience with a Bachelor’s degree or equivalent experience in Computer Science or a related technical field. Experience architecting, deploying, and scaling data intensive systems. Strong hands-on experience in SW development, with proficiency in one or more programming languages such as Python, Swift, and C++. Experience building systems to orchestrate, automate, and harden data processing pipelines. Strong problem-solving skills, creativity in finding effective solutions, and the ability to collaborate with teams across the company. Preferred Qualifications Passion for customer privacy. Experience with differential privacy, secure multi-party computation, private federated learning, or PII redaction frameworks. Experience with DevOps/GitOps, CI/CD, and containerized deployment frameworks like Kubernetes. Experience with statistical techniques for A/B testing, distribution estimation, and sampling theory. Experience with compliance, security protocols, and defense in depth to reduce vulnerabilities. 5+ years of industry experience. Master's degree or PhD or equivalent experience in Computer Science, Software Engineering, or a related technical field.