Who we are Moveworks is the Agentic AI Assistant platform that empowers the entire workforce. Our platform enables employees to converse with all of their business systems through natural language to quickly find answers and automate tasks. Backed by Greylock and Sequoia.
About the role
Assess, benchmark and select ML models and techniques that meet our privacy requirements. Build representative evaluation datasets and compare detection coverage, false positives, latency, cost and the impact on product quality. Own the implementation of those models in our products, from prototype through production. Train or fine-tune where needed, build the surrounding services and APIs, and optimize inference performance and reliability. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Typically 7+ or more 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. You have shipped, tested and operated production software
- 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
More about this role
Our AI products rely on sensitive data to enable customers to get work done. With this in mind, privacy is a crucial part of ensuring that data is handled properly throughout the workflow, from what we collect and how we use it to the controls we apply across models, tools, logs and data pipelines. In this role, you will be a key privacy engineer, writing code and shaping the architecture and protections across our products. You will improve sensitive data detection and masking, assess the privacy risks of ML models, and own the implementation of customer data-use and retention controls. You will work with our Privacy, ML, Security, Product and Infrastructure teams from design through production.
This is a Senior Staff individual contributor role. You will be hands on, setting technical direction across teams and writing production code.
Assess, benchmark and select ML models and techniques that meet our privacy requirements. Build representative evaluation datasets and compare detection coverage, false positives, latency, cost and the impact on product quality.
Own the implementation of those models in our products, from prototype through production. Train or fine-tune where...
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