Research Engineer, Machine Learning (Horizons)

Details

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

• Develop and implement novel reinforcement learning techniques to improve the performance and safety of large language models.
• Create tools and environments for models to interact with, enabling them to perform complex, open-ended tasks.
• Design and run experiments to enhance models' reasoning capabilities, particularly in code generation and mathematics.

Requirements

• 5+ years of industry-related experience.
• Proficient in Python and experience with deep learning frameworks such as PyTorch or Jax.
• Strong software engineering background with interest in collaborating closely with researchers and other engineers.
• Enjoy pair programming.
• Care about code quality, testing, and performance.
• Passionate about the potential impact of AI and committed to developing safe and beneficial systems.

Strong candidates may also have:

• Background in machine learning, reinforcement learning, or high performance computing.
• Experience with virtualization and sandboxed code execution environments.
• Experience with Kubernetes.
• Contributions to open-source projects or published research papers in relevant fields.

Candidates need not have:

• Formal certifications or education credentials.
• Experience with large language models or machine learning research prior to this role.

Benefits

Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, visa sponsorship efforts, and a collaborative office space.

Logistics

• Education requirements: At least a Bachelor's degree in a related field or equivalent experience.
• Location-based hybrid policy: Staff expected to be in office at least 25% of the time.
• Visa sponsorship is available with reasonable efforts from the company.

Culture

Anthropic values collaborative, high-impact AI research, focusing on steerable, trustworthy AI. They prioritize communication skills and inclusive representation on their team.