Machine Learning Performance Specialist

3 weeks ago


San Francisco, California, United States Liquid AI Full time
Unlock Exceptional Performance: At Liquid AI, we're pushing the boundaries of what's possible with machine learning. Join us in crafting optimized inference stacks that unlock unparalleled efficiency and accuracy.

Salary: $145,000 - $165,000 per annum, depending on experience and qualifications.

Job Description: We're looking for a talented engineer who can dive deep into the task of optimizing inference stacks tailored to each platform. Proficiency in building and enhancing inference stacks using frameworks like ggml, vllm, and DeepSpeed is essential. Additionally, experience with mobile development and expertise in cache-aware algorithms will be highly valued.

Key Skills:
  1. A strong background in machine learning engineering, with expertise in PyTorch and Python.
  2. Experience with CUDA, C++, and Triton, as well as a deep understanding of GPU, CPU, and NPU architectures.
  3. Self-motivation and ability to work independently, with a passion for optimizing performance across diverse hardware platforms.
  4. Excellent communication skills, with the ability to collaborate effectively with cross-functional teams.
  5. Stay up-to-date with advancements in ML inference, such as new quantization techniques or speculative decoding, while maintaining focus on delivering practical solutions.


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