AI Research Scientist - Post Training
4 Months ago • 6 Years + • $220,000 PA - $290,000 PA
Research Development
Job Description
Perplexity is seeking experienced AI Research Scientists to improve their in-house Online LLMs, the Sonar models. The role involves turning research ideas into algorithms, implementing them, running experiments, launching new models, and staying updated on the latest research on LLMs, especially model training and optimization. Responsibilities include understanding the newest models and algorithms, inventing in-house improvements to enhance SOTA models, post-training LLMs using the latest supervised and reinforcement learning techniques and working with engineering teams to integrate Sonar models into the product. The ideal candidate will contribute to the evolution of state-of-the-art language models, driving innovation in the field.
Good To Have:
- PhD in Machine Learning or related areas
- Experience on academia publications and impact
Must Have:
- Experience with LLM research and Deep Learning systems
- Strong programming skills, versatility is a plus
- Self-starter with willingness to take ownership of tasks
- Passion for tackling challenging problems
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 closing 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 on academia publications and impact.
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