Privacy Research Engineer Safeguards @ Anthropic
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About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About The Role
As a Privacy Research Engineer Safeguards at Anthropic, you will mitigate risks associated with building AI systems by designing and implementing privacy-preserving techniques, auditing current practices, and setting future directions for privacy handling.
Responsibilities
- Lead privacy analysis of frontier models and audit data usage.
- Develop privacy-first training algorithms and evaluation techniques.
- Work with a senior team of engineers and researchers on privacy policy.
- Advocate for responsible user data handling throughout the process.
You May Be a Good Fit If You Have
- Experience in privacy-preserving machine learning.
- A track record of shipping products in fast-moving environments.
- Strong coding skills in Python with ML frameworks like PyTorch or JAX.
- Deep understanding of large language models and their training methods.
- Familiarity with privacy-preserving techniques such as differential privacy.
- Experience in a fast-paced startup engineering team.
- Ability to lead cross-functional security initiatives.
Strong Candidates May Also
- Have published papers on privacy-preserving ML at top venues.
- Possess experience in training large language models.
- Have developed tooling for privacy-preserving ML.
Compensation & Logistics
The base annual salary ranges from $320,000 to $485,000 USD. Total compensation includes equity, benefits, and potential incentive compensation. A minimum of a Bachelor’s degree or equivalent experience is required. Anthropic practices a location-based hybrid policy, requiring office presence at least 25% of the time. Visa sponsorship is available for select candidates.
How We're Different
Anthropic takes a big science approach to AI research, focusing on high-impact, large-scale projects. The company fosters collaboration, frequent research discussions, and values clear communication and diversity in perspectives.
Key skills/competency
- Privacy-preserving ML
- Python
- PyTorch
- JAX
- Large Language Models
- Differential Privacy
- Data Auditing
- Research
- Startup
- Collaboration
How to Get Hired at Anthropic
🎯 Tips for Getting Hired
- Customize your resume: Highlight privacy and ML experience.
- Showcase technical skills: Emphasize Python, PyTorch, and JAX expertise.
- Detail research experience: Focus on privacy-preserving techniques.
- Prepare for interviews: Brush up on AI safety and model auditing.