AI Research Scientist - LLMs & Agent Systems

Perplexity; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

A leading AI technology company is hiring AI Research Scientists and Engineers to enhance their AI products, focusing on state-of-the-art models, user experience, and deep research. Candidates should have strong backgrounds in large-scale LLMs, programming expertise in Python/PyTorch, and a minimum of 2-6 years of experience. The role involves owning data and training pipelines, integrating models into products, and working collaboratively across teams to innovate cutting-edge AI solutions.

Qualifications

• Proven experience with large-scale LLMs and Deep Learning systems.
• Strong programming skills in Python/PyTorch are essential.
• Experience with post-training techniques and reinforcement learning.

Responsibilities

• Post-train SOTA LLMs using latest supervised and reinforcement learning techniques.
• Own full-stack data, training, and evaluation pipelines required for model development.
• Work closely with engineering teams to integrate models into the product suite.

Skills

Large-scale LLMs

Deep Learning systems

Python/PyTorch

Reinforcement learning

Problem-solving

Education

PhD in Machine Learning, AI, Systems or related areas

Tools

C++

CUDA

Job description

A leading AI technology company is hiring AI Research Scientists and Engineers to enhance their AI products, focusing on state-of-the-art models, user experience, and deep research. Candidates should have strong backgrounds in large-scale LLMs, programming expertise in Python/PyTorch, and a minimum of 2-6 years of experience. The role involves owning data and training pipelines, integrating models into products, and working collaboratively across teams to innovate cutting-edge AI solutions.