Ai Research Engineer • Mid-Level

Who you are

You have experience working on privacy-preserving machine learning, demonstrating a strong understanding of the challenges and techniques involved in this field. Your track record includes shipping products and features in fast-moving environments, showcasing your ability to adapt and deliver under pressure. You possess strong coding skills in Python and are familiar with machine learning frameworks like PyTorch or JAX, enabling you to contribute effectively to the development of privacy-first training algorithms. Your deep familiarity with large language models equips you with the knowledge necessary to understand their workings and training processes, which is crucial for this role. You have experience working with privacy-preserving techniques, such as differential privacy, which will be essential in auditing and enhancing our current methodologies.

What you'll do

In this role, you will lead the privacy analysis of frontier models, carefully auditing the use of data to ensure safety throughout the process. You will develop privacy-first training algorithms and techniques, contributing to the creation of robust AI systems that prioritize user privacy. Your responsibilities will also include developing evaluation and auditing techniques to measure the privacy of training algorithms, ensuring that our practices align with the highest standards of data protection. Working with a small, senior team of engineers and researchers, you will enact a forward-looking privacy policy that advocates for responsible data handling on behalf of our users. Your role will involve collaboration with various stakeholders to ensure that privacy considerations are integrated into all aspects of our AI development processes.

What we offer

At Anthropic, we provide competitive compensation and benefits, including optional equity donation matching, generous vacation and parental leave, and flexible working hours. Our office in San Francisco offers a collaborative environment where you can work closely with colleagues who share your commitment to building beneficial AI systems. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds in our team.