Perplexity is seeking an experienced Research Engineer to shape the future of large-scale language models (LLMs) that power our products. If you're keen on pushing AI boundaries and making a significant impact, this role is for you.
Responsibilities
• Designing and building large-scale data pipelines that feed billions of tokens into LLMs.
• Scaling and optimizing LLM training infrastructure for maximum efficiency.
• Ensuring evaluation pipelines are accurate and reliable.
• Enhancing inference infrastructure to reduce costs and latency while maintaining 99.9% uptime.
• Continually improving LLM performance and accuracy.
Qualifications
• Proven experience with large-scale LLMs 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 4 years of working on search-related projects.
Nice-to-have
• PhD in Machine Learning or related areas.
• Experience building distributed systems.
Our cash compensation range for this role is $160,000 - $250,000.
More information here:
http://express.candarine.com/campaign/url/forward/2cd8e23a9759
