Applied Research Engineer
2 weeks ago
While prior experience in PETs is a significant plus, candidates with research or translational experience in adjacent areas are encouraged to apply.
We are seeking a Privacy Research Engineer to conduct the following:
- Evaluate, Benchmark and Validate emerging technologies via literature reviews, studying international case studies, engagement with the industry/research community, experimental validation, and technical proofs-of-concepts.
- Workflow Design and Productionisation: Architect implementable workflows that translate experimental insights into production-grade solutions for government adoption. This involves working closely with Data Engineers and Software Engineers to integrate these workflows into production-ready products or systems.
- Consulting, Engagement and Technical Advisory:Act as a technical advisor to government agencies, recommending solutions that best fit their privacy problem statements. This may involve working directly with agency teams on pilots to apply a technology for use case.
Collaborate with regulators and policy units to translate technical research into clear, actionable guidance for policy formulation.
Develop guides to assist agencies in their adoption of PETs.
Research Synthesis and Thought Leadership: Monitor international case studies, benchmarks, and cutting-edge research to continuously update best practices.
Minimum Requirements:
- Degree (Master’s and above preferred) in Computer Science, Data Science, Engineering, or a related field
- At least 4 years of industry experience in research, AI/ML model development and data science solutioning with an ability to design and execute experiments or technical proofs-of-concept
- Proficiency with machine learning frameworks and tools (e.g., scikit-learn, TensorFlow, PyTorch) and programming languages such as Python or R
- Strong scientific communication and engagement skills
- Strong analytical and problem-solving skills with attention to detail
- A collaborative mindset with the inclination to work with a multi-disciplinary team (across software engineering, data engineering, data science, product management, and policy development)
Tell employers what skills you have
Literature Reviews
privacy programs
TensorFlow
Machine Learning
privacy strategy
Solutioning
Architect
Software Engineering
Formulation
Infocomm Security and Data Privacy
Data Engineering
Thought Leadership
Product Management
PyTorch
Workflow Design
privacy and data protection
Data Science
Consulting
Data Privacy
privacy specialist
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