Machine Learning Engineer, Differential Privacy

Machine Learning Engineer, Differential Privacy

Responsibilities

• As a Machine Learning Engineer focused on Differential Privacy (DP), you will play a pivotal role in shaping the future of data privacy.
• Collaborate closely with Applied Scientists to understand the nuances of DP and its applications to generative models.
• Design, develop, and implement DP algorithms into our existing and future products.
• Optimize the performance of DP techniques in a production environment, balancing privacy guarantees with practical utility and efficiency.
• Develop adversarial attacks and privacy auditing mechanisms.
• Conduct rigorous testing and validation of DP models to ensure robustness and reliability.
• Stay up to date on the latest developments in DP, machine learning, and data privacy regulations to ensure our products are compliant and industry-leading.
• Document and communicate technical findings and recommendations to both technical and non-technical stakeholders.

Qualifications

• Master’s or Ph.D. in Computer Science, Mathematics, Engineering, or a related field, with a focus on Differential Privacy, Machine Learning, or a related area.
• Proven industry experience in implementing differentially private machine learning algorithms.
• Proficient in programming languages such as Python, R, or Java, and familiar with ML frameworks like PyTorch or Tensorflow.
• Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment.
• Strong communication skills, with the ability to translate complex technical concepts into easy to understand language.

About Gretel

At Gretel, our mission is to build the world’s first developer platform for synthetic data. Our platform solves the data bottleneck problem for developers, data scientists, and AI/ML researchers across multiple modalities including tabular, time-series, relational, language, and image. Gretel's APIs automatically fine-tune AI models to generate synthetic data on-demand while protecting privacy and maintaining the utility and accuracy of the original data.

We’re a highly collaborative remote company with employees across the US & Canada. Our innovative and transparent culture offers employees the autonomy, tools, and trust to act like owners and we're looking for a talented Machine Learning Engineer to join our mission!

Company Information

Gretel is solving the data bottleneck problem for AI scientists, developers, and data scientists by providing them with safe, fast, and easy access to data without compromising on accuracy or privacy. Designed by developers for developers, Gretel’s APIs make it easy to generate anonymized and safe synthetic data so you can preserve privacy and innovate faster.

For more information, visit our blog: Gretel Blog