About Anthropic
Building safe and reliable AI systems for everyone
Key Highlights
- Headquartered in SoMa, San Francisco, CA
- Raised $29.3 billion in funding, including $13 billion Series F
- Over 1,000 employees focused on AI safety and research
- Launched Claude, an AI chat assistant rivaling ChatGPT
Anthropic, headquartered in SoMa, San Francisco, is an AI safety and research company focused on developing reliable, interpretable, and steerable AI systems. With over 1,000 employees and backed by Google, Anthropic has raised $29.3 billion in funding, including a monumental Series F round of $13 b...
🎁 Benefits
Anthropic offers comprehensive health, dental, and vision insurance for employees and their dependents, along with inclusive fertility benefits via Ca...
🌟 Culture
Anthropic's culture is rooted in AI safety and reliability, with a focus on producing less harmful outputs compared to existing AI systems. The compan...
Ai Research Engineer • Mid-Level
Skills & Technologies
Overview
Anthropic is hiring a Research Engineer for their ML Performance and Scaling team to ensure reliable and efficient training of AI models. You'll work with Python and machine learning frameworks like TensorFlow and PyTorch in San Francisco.
Job Description
Who you are
You have a strong background in machine learning and engineering, with experience in building and optimizing large-scale ML systems. Your expertise in Python allows you to develop efficient code that enhances model performance and reliability. You thrive in collaborative environments, working closely with researchers and engineers to solve complex problems. You are passionate about AI safety and are committed to building beneficial AI systems that serve society.
You possess a deep understanding of performance optimization techniques and have hands-on experience debugging hardware and software issues. Your ability to design and run experiments enables you to improve training efficiency and reduce downtime. You are comfortable responding to on-call incidents, ensuring that production issues are resolved swiftly and effectively.
Desirable
Experience with cloud platforms such as AWS or GCP is a plus, as is familiarity with observability tools that enhance model monitoring. You may have contributed to open-source projects or have a portfolio showcasing your work in machine learning.
What you'll do
As a Research Engineer at Anthropic, you will own critical aspects of the production pretraining pipeline, focusing on model operations and performance optimization. You will debug and resolve complex issues across the full stack, from hardware errors to training dynamics. Your role will involve designing and running experiments aimed at improving training efficiency and enhancing model performance.
You will collaborate closely with the ML Performance and Scaling team, ensuring that our frontier models train reliably and efficiently. During model launches, you will work in tight coordination with your team to address any production issues that arise, demonstrating your ability to work under pressure. Your contributions will directly shape the future of our AI systems, aligning with our mission to create safe and beneficial AI.
What we offer
At Anthropic, we provide competitive compensation and benefits, including optional equity donation matching and generous vacation and parental leave. You will enjoy flexible working hours and a collaborative office environment in San Francisco. We are committed to fostering a culture of safety and reliability in AI, and we encourage you to apply even if your experience doesn't match every requirement.
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