Research Engineer, Product

Key Skills

Design, ETL frameworks, GPUs, Kubernetes-K8s, Machine learning techniques, PyTorch, Transformer

Job Description

You care about making safe, steerable, trustworthy systems and are excited to commercialize them. You want to work at the confluence of safety research, capabilities research, and product. As a Research Engineer, you'll touch all parts of our code and infrastructure, whether that means running and designing experiments, working with major partners to improve our AI systems for their use cases, funneling AI safety and capabilities advances together into a single new system, or partnering with the API team to ensure the safety and security of new deployments. You're excited to write code when you understand the research context and more broadly why it's important.

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.

Responsibilities:

• Using Constitutional AI to improve AI safety, reliability, and performance in deployment
• Profiling and improving the compute efficiency of various RL implementations
• Design and manage untrusted execution environments
• Scaling a distributed training job to thousands of GPUs
• Creating a dashboard of evaluations for a variety of AI models and deploying it to customers

You might be a good fit if you:

• Have extensive software engineering experience
• Are results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Enjoy pair programming (we love to pair!)
• Want to learn more about machine learning research
• Care about the societal impacts and long-term implications of your work

Strong candidates may also:

• Have experience with high performance, large-scale ML systems
• Have experience with GPUs, kubernetes, pytorch, OS internals
• Have experience with language modeling with transformers
• Have experience with reinforcement learning
• Have experience with large-scale ETL

Annual Salary (USD)

• The expected salary range for this position is $250k - $450k.

Hybrid policy & US visa sponsorship: Currently, we expect all staff to be in our office at least 25% of the time. We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, and we retain an immigration lawyer to help with this.

Role-specific policy: For this role, we prefer candidates who are able to be in our office more than 25% of the time, though we encourage you to apply even if you don’t think you will be able to do that.