AI Research Scientist - Post Training
π San Francisco, United States
USD 220,000-290,000 per year
SCRAPED
Used Tools & Technologies
Not specified
Required Skills & Competences ?
Algorithms @ 4 Machine Learning @ 4 LLM @ 4Details
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 launch new models, and stay on top of the latest research on LLMs, especially model training and optimization.
Responsibilities
- Understand the newest models and algorithm 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.
Requirements
- 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 on academia publications and impact.
The cash compensation range for this role is $220,000 - $290,000.
Equity: In addition to the base salary, equity is part of the total compensation package.
Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.