AI Research Scientist - Post Training - SF Or Palo Alto

Details

Perplexity is seeking experienced AI Research Scientists to continue to improve our in house Online LLMs, the Sonar models. Your job is to turn research ideas into algorithms and implement them, running experiments and launching new models, and stay on top of the latest research on LLMs, especially model training and optimization.

Responsibilities

• Understand the newest models and algorithms coming every week, especially in post-training
• Invent in-house improvements and optimizations to enhance SOTA models
• Post-train LLMs on query answering by using the latest in supervised and reinforcement learning techniques
• Work closely with engineering teams to integrate Sonar models into our product

Qualifications

• Proven experience with LLM research and Deep Learning systems
• Strong programming skills; versatility is a plus
• Self-starter with a willingness to take ownership of tasks
• Passion for tackling challenging problems
• Minimum of 6 years of working on relevant projects

Nice-to-have

• PhD in Machine Learning or related areas
• Experience with academia publications and impact

Compensation and Benefits

The cash compensation range for this role is $220,000 - $290,000.
Final offer amounts are determined by multiple factors, including experience and expertise, and may vary from the amounts listed above.

Equity may be part of the total compensation package.

Benefits include comprehensive health, dental, and vision insurance for you and your dependents and a 401(k) plan.