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Artificial Intelligence à Grande-Bretagne

AI Inference Engineer

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AI Inference Engineer
Pantera Capital
City Of London
Sur place
GBP 141 000 - 179 000
Plein temps
Il y a 30+ jours

Résumé du poste

A tech-focused investment firm in London is seeking an experienced AI Inference engineer to develop APIs and enhance machine learning model deployment. Candidates should have strong knowledge in ML systems, deep learning frameworks, and real-time model serving. This position offers a competitive salary ranging from $190,000 to $240,000, along with comprehensive benefits including health insurance and equity components.

Prestations

Health insurance
401(k) plan
Equity opportunities

Qualifications

  • Experience with ML systems and deep learning frameworks like PyTorch or TensorFlow.
  • Familiarity with LLM architectures and inference optimization techniques.
  • Experience in deploying real-time model serving at scale.

Responsabilités

  • Develop APIs for AI inference for internal and external customers.
  • Benchmark and address bottlenecks in the inference stack.
  • Improve reliability and observability of systems.

Connaissances

Machine learning systems
Deep learning frameworks
Inference optimization techniques
Real-time model serving

Outils

Python
C++
TensorRT-LLM
Kubernetes
Description du poste
Overview

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, we0;ve experienced tremendous growth and adoption since publicly launching the world0;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, we0;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 is 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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* Le salaire de référence se base sur les salaires cibles des leaders du marché dans leurs secteurs correspondants. Il vise à servir de guide pour aider les membres Premium à évaluer les postes vacants et contribuer aux négociations salariales. Le salaire de référence n’est pas fourni directement par l’entreprise et peut pourrait être beaucoup plus élevé ou plus bas.

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