Applied Machine Learning Technical Lead
: Job Details :


Applied Machine Learning Technical Lead

Applied Intuition

Location: Mountain View,CA, USA

Date: 2024-09-17T23:15:58Z

Job Description:
About the role We are looking for a technical lead for our applied machine learning team to implement and productionize cutting-edge research across our core product pillars. You will help set the technical direction forone of the teams positioning Applied Intuition as the most advanced vehicle software supplier to the largest OEMs in the world. You will work with a team of world-class software and machine learning engineers who are developing capabilities that will revolutionize the way that people interact with vehicles. At Applied Intuition, we encourage engineers to take ownership of technical and product decisions, interact closely with users to collect feedback, and contribute to a thoughtful, dynamic team culture. At Applied Intuition, you will:
  • Set the technical direction for integrating the latest advancements in machine learning into our products
  • Mentor engineers on the team and throughout the entire company on building strong ML foundations
  • Work closely with customers to identify additional areas across the product suite where generative AI can provide significant value We're looking for someone who has:
    • A Bachelor's degree in computer science, physics, robotics, or related fields from a top institution
    • 4+ years experience working with modern ML techniques including but not limited to transformer-based models, reconstruction algorithms, diffusion and multi-modal models
    • Programming experience in one of the following: Python or C++ Nice to have:
      • Experience working directly with end users
      • Peer-reviewed research at machine learning conferences like NeurIPS, CVPR, ICML, ICLR, ICCV/ECCV, IROS, ICRA
      • Experience building software for technical end users
      • A Master's degree or PhD in computer science, physics, robotics, or related fields The salary range for this position is $204,000 - $343,000 USD annually. This salary range is an estimate, and the actual salary may vary based on the Company's compensation practices. #J-18808-Ljbffr
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