Demo

Machine Learning Performance Specialist

Acceler8 Talent
Sunnyvale, CA Full Time
POSTED ON 2/7/2025
AVAILABLE BEFORE 5/7/2025

Machine Learning Performance Specialist

Join Our Innovative Team!

Are you passionate about shaping the future of AI? At our company, we're on a groundbreaking journey to empower developers and enterprises worldwide by enhancing on-device inference and migrating it to user devices. We envision a future where AI is integrated seamlessly into everyday life, making it private, convenient, and profitable for everyone.

About Us

We are at the forefront of AI innovation, developing state-of-the-art technologies. Our focus is on building a cross-platform Inference Engine utilizing Metal and CUDA , alongside Swift packages for seamless inference pipelines, and a comprehensive Python toolkit aimed at model compression and enhancing inference efficiency. We're also committed to nurturing a dynamic developer community.

Why You Should Join Us

  • Work collaboratively with industry leaders and innovators.
  • Contribute to open-source projects and share your expertise through technical blogs.
  • Enjoy the autonomy to drive your projects in line with business objectives.
  • Leverage data-driven insights to advocate for increased R&D investments.

What We Offer You

  • Competitive equity compensation tailored to market standards.
  • Flexible work arrangements available.
  • Comprehensive platinum-tier health insurance and a 401(k) plan with 100% match.
  • Exciting travel opportunities for teamwork and participation in conferences.
  • Key Responsibilities

    As a Machine Learning Performance Specialist, you will :

  • Analyze and optimize ML workloads across diverse platforms, including Nvidia, Apple, and Qualcomm.
  • Create advanced GPU kernels for our Inference Engine.
  • Convert complex technical findings into engaging technical blogs for our community.
  • Mentor and guide junior team members and interns.
  • Qualifications

    To thrive in this role, you should possess :

  • Deep expertise in debugging, profiling, and optimizing GPU kernels.
  • Strong background in parallel programming.
  • Familiarity with Metal and / or CUDA / Triton technologies.
  • Advanced knowledge of modern Deep Learning workloads.
  • Basic understanding of core Machine Learning concepts.
  • Experience with Android or Windows platforms is a plus.
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