What are the responsibilities and job description for the AI Research Engineer position at Perplexity AI?
Job Details
Job Description
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 2 years of working on relevant deep learning 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 - $220,000.
To support our rapid expansion, we've raised significant funding from some of the most respected investors in technology. In January 2024, we raised $73.6 million in a Series B round led by IVP, with participation from NVIDIA, Jeff Bezos' investment fund, NEA, Databricks, and other prominent firms. We followed that up with a $62.7 million Series B1 round in April 2024 led by Daniel Gross, valuing Perplexity at over $1 billion.
Our prominent investor base includes IVP, NEA, Jeff Bezos, NVIDIA, Databricks, Bessemer Venture Partners, Elad Gil, Nat Friedman, Naval Ravikant, Tobi Lutke, and many other visionary individuals.
Salary : $160,000 - $250,000