PyTorch Jobs

288 jobs found

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Job Position Company Posted Location Salary Tags

Tether

ZH Zürich CH

$87k - $110k

Tether

ZH Zürich CH

$90k - $90k

Seedify

London, United Kingdom

$90k - $107k

Brave

London, United Kingdom

$94k - $101k

Seedify

Philippines

$90k - $104k

Brave

London, United Kingdom

$84k - $108k

Entangle Labs

Dubai, United Arab Emirates

$149k

Entangle Labs

Dubai, United Arab Emirates

$90k - $107k

Hyperbolic Labs

San Francisco, CA, United States

$72k - $75k

IO Global

Remote

$87k - $120k

Entangle Labs

Dubai, United Arab Emirates

$123k - $180k

Entangle Labs

Dubai, United Arab Emirates

$90k - $110k

Entangle Labs

Dubai, United Arab Emirates

$81k - $100k

Entangle Labs

Dubai, United Arab Emirates

$121k - $164k

Entangle Labs

Dubai, United Arab Emirates

$94k - $96k

Tether
$87k - $110k estimated
ZH Zürich CH
Apply

At Tether, we're committed to making advanced AI technologies more accessible. Thanks to its investment in AI infrastructure, starting from Northern Data, Tether is now in a prime position to tackle ambitious AI projects. Our goal is to build the next generation of AI models, leading innovation in AI, through an accessible, transparent and privacy preserving approach.

The role involves building AI solutions across the spectrum from large-scale models designed for advanced applications to smaller, highly performant models tailored for efficiency on edge devices such as mobile phones and laptops.

Our dynamic team operates entirely remotely, uniting talent from every corner of the globe. Our journey has been marked by rapid growth and efficient operations, firmly establishing us as pioneers within the industry. Join us in building AI models and solutions that not only compete with but exceed the capabilities of current leaders, driving both technological advancement and broad accessibility.


What You'll Do:

  • Work on deploying machine learning models to edge devices using frameworks such as TVM, MLC, and IREE (MLIR).
  • Collaborate closely with researchers to assist in coding, training and transitioning models from research to production environments.
  • Integrate AI features into existing products, enriching them with the latest advancements in machine learning.

  • Excellent programming skills in Python, C and C++
  • Experience with platforms such as TVM, MLC, and IREE (MLIR), which facilitate the deployment of models to specific GPU architectures.
  • Experience in NLP, computer vision, TensorFlow, PyTorch, JAX and CUDA toolkit.
  • Demonstrated ability to rapidly assimilate new technologies and techniques.
  • A degree in Computer Science, AI, Machine Learning, or a related field, complemented by a solid track record in AI R&D.