AnthropicPrivacy Research Engineer, Safeguards
Seeking a Privacy Research Engineer to design and implement privacy-preserving techniques for AI systems, audit current techniques, and set the direction for handling privacy.
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems.
About the Role
We are looking for researchers to help mitigate the risks that come with building AI systems.
Responsibilities:
- Lead our privacy analysis of frontier models, carefully auditing the use of data and ensuring safety throughout the process
- Develop privacy-first training algorithms and techniques
- Develop evaluation and auditing techniques to measure the privacy of training algorithms
- Work with a small, senior team of engineers and researchers to enact a forward-looking privacy policy
- Advocate on behalf of our users to ensure responsible handling of all data
You may be a good fit if you have:
- Experience working on privacy-preserving machine learning
- A track record of shipping products and features inside a fast-moving environment
- Strong coding skills in Python and familiarity with ML frameworks like PyTorch or JAX.
- Deep familiarity with large language models, how they work, and how they are trained
- Have experience working with privacy-preserving techniques (e.g., differential privacy and how it is different from k-anonymity, l-diversity, and t-closeness)
- Experience supporting fast-paced startup engineering teams
- Demonstrated success in bringing clarity and ownership to ambiguous technical problems
- Proven ability to lead cross-functional security initiatives and navigate complex organizational dynamics
Strong candidates may also:
- Have published papers on the topic of privacy-preserving ML at top academic venues
- Prior experience training large language models (e.g., collecting training datasets, pre-training models, post-training models via fine-tuning and RL, running evaluations on trained models)
- Prior experience developing tooling to support privacy-preserving ML (e.g., differential privacy in TF-Privacy or Opacus)
The expected base compensation for this position is below.
Annual Salary:
$320,000—$485,000 USD
Logistics
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.**
Location-based hybrid policy:** Currently, we expect all staff to be in one of our offices at least 25% of the time.
Visa sponsorship: We do sponsor visas!
We encourage you to apply even if you do not believe you meet every single qualification.
How we're different
We believe that the highest-impact AI research will be big science.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco.