Remote Member of Technical Staff (ML)

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Description:

  • As a Member of Technical Staff on Machine Learning, you will contribute to the entire development cycle of our cutting-edge large deep learning models.
  • You will prepare datasets, design architectures, implement solutions, train and evaluate models to improve our products.
  • You will collaborate closely with engineers and researchers to translate cutting-edge research into practical applications.
  • You will join us at an exciting moment, wear many hats, and help us build something from the ground up!

Requirements:

  • You should have experience with training and evaluating large deep learning models.
  • Proficiency in standard deep learning frameworks such as PyTorch and JAX is required.
  • A proven track record of applying and implementing machine learning algorithms into software applications at scale is necessary.
  • You must have the ability to build in a fast-paced environment under some uncertainty.
  • A kind and collaborative nature and work style is essential for this role.

Benefits:

  • You will collaborate with an elite team of top-tier engineers, researchers, and operators from renowned organizations like Google DeepMind and Facebook AI Research (FAIR).
  • You will be part of a rapidly growing industry poised to transform multiple sectors globally, offering the chance to make a significant impact.
  • You will work in a mission-driven environment alongside a collaborative, mission-focused team dedicated to advancing AI for meaningful applications.
  • You will thrive in an inclusive and open culture that values diverse perspectives and fosters creativity.
  • You will enjoy generous benefits, including 5 weeks of paid leave, comprehensive healthcare benefits including vision and dental, and additional perks that support your well-being.
  • Visa assistance, including H1B and OPT transfers, will be provided for US employees to ensure a smooth transition and support your career with us.
Apply now
Please, let Reka know you found this job on RemoteYeah . This helps us grow 🌱.
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