Who Are We Looking For:

We are seeking an experienced Privacy Engineer (Senior) to join our team and play a pivotal role in advancing the field of privacy-preserving technologies, particularly in synthetic data generation. This role combines deep technical expertise in privacy-enhancing technologies with practical implementation skills to ensure our products meet the highest standards of privacy protection while maintaining data utility.

Key Responsibilities:

Privacy Technology Implementation:

• Design and implement cutting-edge differential privacy algorithms into production-grade synthetic data generation systems
• Develop privacy-preserving machine learning frameworks that maintain statistical fidelity while protecting individual privacy
• Build and maintain privacy measurement tools & metrics to assess and quantify privacy risks in synthetic datasets
• Develop frameworks for privacy budgets and differential privacy mechanisms across applications
• Ensure that the privacy mechanisms scale efficiently to billions of records in large enterprises

Technical Leadership and Architecture:

• Lead privacy engineering reviews of existing and new technical designs, identifying privacy risks and compliance issues
• Collaborate with academic & applied research teams to translate cutting-edge privacy research into scalable, production-ready solutions
• Guide product development teams in implementing privacy features and privacy-preserving data analysis techniques

Regulatory Compliance and Risk Management:

• Map privacy mechanisms and evaluations to regulatory compliance with global data protection regulations including PDPA, GDPR, CCPA and emerging AI regulations
• Conduct privacy impact assessments (PIAs) and data flow assessments for new features and products
• Design and implement technical controls to mitigate identified privacy vulnerabilities
• Maintain comprehensive documentation of privacy practices and technical implementations

Cross-functional Collaboration:

• Partner with Engineering, Product, Legal, and Compliance teams to integrate privacy considerations into business processes
• Communicate privacy risks and mitigation strategies to senior leadership and non-technical stakeholders and customers
• Drive privacy awareness initiatives across technical teams and the organization

Required Qualifications:

• Bachelors (PhD preferred) in Privacy, ML, Computer Science or Mathematics
• Strong foundation in privacy engineering fundamentals and statistical methods.
• 3+ years of hands-on experience in data privacy with focus on privacy engineering and architecture
• Proven experience implementing differential privacy in production systems and understanding of privacy-utility trade-offs
• Experience with privacy-enhancing technologies (PETs) including the range of data anonymisation techniques
• Proficiency in programming languages such as Python
• Experience with machine learning frameworks (PyTorch, DP-SGD) for privacy-preserving ML applications
• Deep understanding of privacy laws and regulations (GDPR, CCPA, etc.) and their application to technology design
• Applied experience of privacy threat modeling and adversarial attack methodologies
• Experience with synthetic data generation techniques using GANs, VAEs, Transformers or other generative models
• Knowledge of privacy measurement frameworks and statistical validation of privacy guarantees
• Background in privacy engineering at scale of billions of records

Why Join Us:

• Shape the future of data privacy by implementing technologies that protect millions of users while enabling innovation.
• Influence industry standards for privacy-preserving data sharing and synthetic data generation. Betterdata is at the forefront of privacy where we have co-authored the data anonymisation (2022) and synthetic data (2024) guidelines with Singapore's privacy regulators PDPC. This is the first of its kind in Asia and you will be part of the tip of the spear to bring AI innovation while putting people's privacy first.
• Advance the field of synthetic data through practical application of cutting-edge privacy research where we actively publish in top tier privacy venues like ICML, Neurips, AAAI, S&P, CCS, FORC, etc..

Benefits:

• Flexible time-off arrangements
• Flexible work arrangements - work from office at One North or WFH on some days
• Equity eligibility: Competitive equity packages, with grant size evaluated based on the candidate's experience, skills, and impact.

How to apply:

Does this role sound like a good fit to you?

• We see this first: Submit your application here
• We see this last: If the above does not work, you may email us your CV (pdf format) at jobs@betterdata.ai.Include the title of the role in your subject
  Indicate your available start - end dates (DDMMYY - DDMMYY)
  Send along links/supporting information that best showcase the relevant things you have built and done