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Researcher: Inference - Remote

Posted 2 weeks ago
Software Development
Full Time
UK

Overview

This role involves conducting cutting-edge research to enhance the efficiency and robustness of inference for AI models across various modalities.

In Short

  • Conduct research to improve AI model inference efficiency.
  • Design and optimize inference pipelines for various environments.
  • Develop techniques for efficient model execution.
  • Explore advanced methods to reduce inference latency.
  • Investigate trade-offs between model quality and efficiency.
  • Prototype methods for stateful and streaming inference.
  • Collaborate with teams to integrate research into production.

Requirements

  • Expertise in optimizing inference for machine learning models.
  • Strong programming skills in Python and experience with AI frameworks.
  • Knowledge of hardware architectures and their impact on performance.
  • Experience in designing low-latency inference pipelines.
  • Understanding of the trade-offs in model deployment.
  • Problem-solving skills and passion for innovative techniques.

Benefits

  • Lunch, dinner, and snacks provided at the office.
  • Fully covered medical, dental, and vision insurance.
  • Pension plan available.
  • Relocation and immigration support offered.
  • Inclusive and supportive team culture.
Cartesia logo

Cartesia

Cartesia is an innovative company on a mission to develop the next generation of AI, focusing on creating ubiquitous, interactive intelligence that operates seamlessly across various devices. Founded by a team of PhDs from the Stanford AI Lab, Cartesia is pioneering new model architectures, particularly State Space Models (SSMs), to enable real-time processing of vast streams of audio, video, and text. With a strong emphasis on engineering excellence and product design, the company is building cutting-edge models and experiences. Backed by prominent investors and advisors in the AI field, Cartesia is expanding its operations with a new office in India, where it seeks talented software engineers to contribute to its vision of real-time multimodal intelligence.

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