Senior ML Engineer (Full Time, Remote)

Remote - India

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Hike

Hike team is building the Rush Gaming Universe.

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At Hike, weโ€™re building the Rush Gaming Universe ๐ŸŽฎ ๐Ÿ“ฒ ๐Ÿ’ฐ

To know more, check out work.hike.in.

Skills & experience we're looking for ๐Ÿ‘จโ€๐Ÿ’ป

  • 2+ years of relevant industry experience
  • B.tech/MS from a top Tier institute
  • Strong programming abilities, especially Python Scientific Stack (Numpy, Pandas, Scikit-Learn etc.)
  • Solid foundations in Data-Structures, Algorithms, Design & Architecture
  • Exposure to Machine Learning - preferably, Deep Learning with Pytorch/Tensorflow.
  • Excited about building cutting edge AI products in the fields of Computer Vision, Graphics, Audio, AR/VR etc.
  • Relentless passion to learn, own & deliver user delight.
  • Preferred:
    • Background (Projects/Coursework) in Linear Algebra, Signal Processing, Image Processing, Optimization & Data Structures
    • Familiarity with one or more of the following tech - Android, Javascript, Unity

You will ๐Ÿ“ฒ

  • Build deep learning models in the areas of computer-vision, graphics & audio.
  • Create deployment pipelines for server-side as well as on-device real-time inference.
  • Own end to end Quality & Performance Metrics for AI deployment pipelines: from learning to inference to rendering.
  • Optimize ML inference pipelines to render high quality 3D graphics across multiple clients ranging from Android Native to game-engines like Unity.
  • Collaborate in a cross-functional setup including Artists, Engineers & Scientists to translate cutting-edge research (AI, Art & Graphics/Multimedia) into high quality user-experiences.

๐Ÿ’ฐ Benefits โ†’ We have tremendous benefits & perks. Check out work.hike.in to know more

๐Ÿ‘พ Discord โ†’ Diving into our Discord is a great way to get to know us better (& maybe work on a few things with us)

Tags: Computer Vision Deep Learning JavaScript Linear algebra Machine Learning NumPy Pandas Pipelines Python PyTorch Research Scikit-learn TensorFlow VR

Perks/benefits: Career development

Regions: Remote/Anywhere Asia/Pacific
Country: India
Job stats:  11  3  0

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