AI Inference Engineer

10 Hours ago • All levels • $190,000 PA - $240,000 PA

Job Summary

Job Description

We are looking for an AI Inference Engineer to join our growing team. You will be working with Python, C++, TensorRT-LLM, and Kubernetes on the large-scale deployment of machine learning models for real-time inference. Responsibilities include developing APIs for AI inference, benchmarking and addressing bottlenecks, improving system reliability and observability, and exploring LLM inference optimizations. The company has experienced rapid growth and has raised significant funding from respected investors.
Must have:
  • Develop APIs for AI inference.
  • Benchmark and address bottlenecks in the inference stack.
  • Improve system reliability and observability.
  • Experience with ML systems and deep learning frameworks.
  • Familiarity with common LLM architectures.
Good to have:
  • Understanding of GPU architectures or experience with GPU kernel programming using CUDA.
Perks:
  • Comprehensive health, dental, and vision insurance for you and your dependents.
  • 401(k) plan.
  • Equity may be part of the total compensation package.

Job Details

We are looking for an AI Inference to join our growing team. Our current stack is Python, C++, TensorRT-LLM, Kubernetes. You will have the opportunity to work on large-scale deployment of machine learning models for real-time inference.

Responsibilities

  • Develop APIs for AI inference that will be used by both internal and external customers
  • Benchmark and address bottlenecks throughout our inference stack
  • Improve the reliability and observability of our systems and respond to system outages
  • Explore novel research and implement LLM inference optimizations

Qualifications

  • Experience with ML systems and deep learning frameworks (e.g. PyTorch, TensorFlow, ONNX)
  • Familiarity with common LLM architectures and inference optimization techniques (e.g. continuous batching, quantization, etc.)
  • Experience with deploying reliable, distributed, real-time model serving at scale
  • (Optional) Understanding of GPU architectures or experience with GPU kernel programming using CUDA

The cash compensation range for this role is $190,000 - $240,000.

 

At Perplexity, we've experienced tremendous growth and adoption since publicly launching the world's first fully functional conversational answer engine just over a year ago. Our AI-powered search assistant has amassed 10 million monthly active users as of early 2024, with our mobile apps installed over 1 million times across iOS and Android devices. In 2023 alone, we served over 500 million queries from users around the globe.

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.
 
Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above.
 
Equity: In addition to the base salary, equity may be part of the total compensation package.
Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.
 
 

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