Forward Deployed Engineer, Data De-Identification

This is a fully remote position, open to applicants in United States.

📋 Description

• Take charge of the delivery for client de-identification projects from the initial raw data review to client acceptance.

• Process corpora through the de-identification pipeline and verify outputs for any missed entities, incorrect replacements, merged or split identities, and file rebuild failures.

• Identify issues, resolve them when feasible, and provide clear explanations of any unresolved problems to the responsible engineering team.

• Rerun pipelines and confirm fixes, frequently collaborating with the annotation team to ensure quality validation.

• Develop and modify ingestion and transformation steps for mailboxes, chat archives, document dumps, ticketing systems, and databases.

• Write code within the existing platform, including customization specific to client needs.

• Perform reconciliation checks to verify that file counts and content align from ingestion to delivery.

• Contribute to the technical sections of client reports regarding sensitive data treatment, retained data, file-type management, and known limitations.

• Guide clients through the work and resulting data alongside founders initially, then transition to independent management as expertise develops.

• Transform one-off fixes into reusable documentation, runbooks, and product enhancements.

• Acquire knowledge of the platform and delivery process, manage part of a live engagement, and advance to independently overseeing engagements from scoping to delivery.

⛳️ Requirements

• A Bachelor's degree in a technical discipline (computer science, engineering, math, statistics, physics, bioinformatics, or related areas), or currently enrolled in such a program.

• Practical experience in data engineering, backend engineering, or a solutions/forward-deployed role delivering production systems to customers.

• Internships, co-ops, research, and significant projects are all considered valuable experience.

• Proficient in Python and other backend programming languages, along with SQL.

• Comfortable reading and debugging code written by others.

• Experience in creating repeatable pipelines that handle large volumes of structured, semi-structured, and unstructured data.

• Understanding of data flow through systems and the capability to identify incorrect outputs.

• Familiarity with using AI tools and agents as integral components of the workflow, with the necessary oversight and validation.

• Ability to work autonomously and make informed decisions without waiting for directions.

• Excellent communication skills with both technical and executive audiences.

• Proven track record of delivering complex projects within tight timelines, typically measured in days and weeks.

• Availability for approximately 20 hours a week, with flexibility to maintain client engagement schedules.

• Experience with model inference, ML pipelines, or PyTorch is a desirable asset.

• Familiarity with data masking, de-identification, ETL, or synthetic data tools is a plus.

• Interest in working closely with frontier AI labs and in the training-data ecosystem is advantageous.

• Experience in an early-stage company or on a new product line is also a plus.

🏝️ Benefits

• Competitive compensation.

• Opportunity to collaborate with technical founders.

• Direct influence on product development.

• Exposure to cutting-edge AI labs and the training-data market.

• Experience addressing industry-wide data privacy challenges.

• Remote work arrangement.

• Part-time co-op schedule of approximately 20 hours per week.