Senior Privacy Engineer (ML/Data Protection) - Remote

Moveworks; Mountain View (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Moveworks is seeking a Senior Privacy Engineer to lead production privacy initiatives across ML models and data workflows. The role involves hands-on coding in Python and related languages, evaluating models, and building masking, redaction and data-use controls across services and data stores.

You will design privacy protections, run evaluations for memorization and data leakage, and collaborate with Privacy, ML, Security, Product and Infrastructure teams from design to production.

Qualifications

• Typically 7+ years building production software, including substantial experience in privacy engineering and applied ML.
• Strong Python skills and experience with Go, Java, C++ or another production systems language.
• Hands-on experience evaluating, selecting and deploying ML models, including dataset curation, model adaptation or fine-tuning, error analysis and model serving.
• Experience building sensitive data detection and masking systems, including their accuracy, performance and integration tradeoffs.
• Experience assessing privacy risks in ML and LLM systems and implementing mitigations. You can explain what your tests establish and where uncertainty remains.
• Deep understanding of data minimization, pseudonymization, anonymization and re-identification risk, including the limits of removing direct identifiers.
• Experience building data protection and lifecycle controls in distributed cloud systems.
• A record of taking ambiguous engineering problems from design through delivery, setting technical direction across teams and mentoring engineers.
• Preferred experience: differential privacy or other privacy-enhancing technologies.

Responsibilities

• Assess, benchmark and select ML models meeting privacy requirements.
• Own implementation of those models in products from prototype to production.
• Train or fine-tune where needed, build surrounding services and APIs, and optimize inference performance and reliability.
• Build privacy-preserving data detection, masking, redaction and tokenization for structured and unstructured data across logs, traces, APIs, analytics and annotation tools.
• Write and maintain code enforcing customer requirements for data use, access, retention and deletion across services and data stores.
• Prototype and implement privacy-preserving approaches to evaluation and synthetic data.
• Conduct privacy design reviews with engineering and build reusable components and engineering standards.

Skills

Python

Go

Java

C++

Job description

Moveworks is seeking a Senior Privacy Engineer to lead production privacy initiatives across ML models and data workflows. The role involves hands-on coding in Python and related languages, evaluating models, and building masking, redaction and data-use controls across services and data stores.

You will design privacy protections, run evaluations for memorization and data leakage, and collaborate with Privacy, ML, Security, Product and Infrastructure teams from design to production.