Research Engineer / Research Scientist, Tokens
Anthropic · New York City, NY | Seattle, WA | San Francisco, CA · AI Research & Engineering
mid
machine learning
Research Scientist
ic
$350,000 – $500,000
USD per year
About this role
Anthropic is hiring a mid-level Research Scientist in the machine learning function based in New York City, NY | Seattle, WA | San Francisco, CA. The posting calls out experience with Kubernetes, PyTorch, Reinforcement Learning, ETL. Compensation is listed at $350,000–$500,000 per year.
- Role
- Research Scientist
- Function
- machine learning
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- New York City, NY | Seattle, WA | San Francisco, CA
- Department
- AI Research & Engineering
More roles at Anthropic
Art Director, Enterprise
San Francisco, CA · director
Figma OpenAI
Biological Safety Research Scientist
San Francisco, CA · mid
Python LLMs Security
Business Development Representative
Seoul, South Korea · mid
SQL Salesforce API Development
Campus Security Manager
New York City, NY · principal
Security Compliance Incident Response
Certification Development Lead
New York City, NY | San Francisco, CA · mid
AWS GCP Azure
All Anthropic jobs →
Job description
from Anthropic careersAbout 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.
You want to build large scale ML systems from the ground up. You care about making safe, steerable, trustworthy systems. As a Research Engineer, you'll touch all parts of our code and infrastructure, whether that's making the cluster more reliable for our big jobs, improving throughput and efficiency, running and designing scientific experiments, or improving our dev tooling. You're excited to write code when you understand the research context and more broadly why it's important.
Note: This is an "evergreen" role that we keep open on an ongoing basis. We receive many applications for this position, and you may not hear back from us directly if we do not currently have an open role on any of our teams that matches your skills and experience. We encourage you to apply despite this, as we are continually evaluating for top talent to join our team. You are also welcome to reapply as you gain more experience, but we suggest only reapplying once per year.
This is an excerpt. Read the full job description on Anthropic careers →