Anthropic

About Anthropic

Building safe and reliable AI systems for everyone

🏢 Tech👥 1001+ employees📅 Founded 2021📍 SoMa, San Francisco, CA💰 $29.3b4.5
B2BArtificial IntelligenceDeep TechMachine LearningSaaS

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...

Overview

Anthropic is hiring a Research Engineer specializing in Machine Learning, particularly in Reinforcement Learning. You'll collaborate with teams to advance AI systems and contribute to cutting-edge research. This role requires expertise in Python and machine learning methodologies.

Job Description

Who you are

You have a strong background in machine learning, particularly in reinforcement learning, and are passionate about developing reliable AI systems. Your experience includes working with large language models and understanding the intricacies of model training and evaluation. You thrive in collaborative environments, working closely with researchers and engineers to implement innovative solutions. You are committed to ensuring that AI systems are safe and beneficial for users and society.

You possess excellent programming skills, particularly in Python, and have experience with machine learning frameworks and libraries. Your understanding of reinforcement learning principles allows you to contribute effectively to research and development efforts. You are detail-oriented and have a strong analytical mindset, enabling you to tackle complex problems in AI.

What you'll do

As a Research Engineer at Anthropic, you will be at the forefront of advancing our reinforcement learning capabilities. You will collaborate with interdisciplinary teams to develop systems that enhance model reasoning and coding capabilities. Your work will involve pioneering research in reinforcement learning and applying it to improve AI systems. You will also contribute to building scalable infrastructure and training methodologies that support our research initiatives.

You will engage in hands-on development, working with cutting-edge technologies to implement research findings into practical applications. Your role will require you to partner with alignment and production training teams to ensure that our AI systems are both capable and safe. You will be responsible for documenting your research and findings, contributing to the broader AI community through publications and presentations.

What we offer

At Anthropic, we provide a supportive and collaborative work environment where you can grow your skills and contribute to meaningful projects. We offer competitive compensation and benefits, including flexible working hours and generous vacation policies. You will have the opportunity to work alongside a diverse group of experts in AI, contributing to projects that have a significant impact on the future of technology. Join us in our mission to create beneficial AI systems that prioritize safety and reliability.

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