Our client is seeking a Engineer

Responsibilities

• Research and develop state-of-the-art LLM and/or video or multimodality models to accelerate open-source progress in the domains.
• Implement the application of large models in our business scenarios, like pre-training, supervised fine-tuning, post-training, inference etc.
• Continuously optimize the training framework to better adapt to the training of large models on thousands of multi-node GPUs.
• In this role, you’ll have the opportunity to advance the development of open-source LLM, vision and/or multimodal foundation models and products. You will have the opportunity to collaborate with broader teams across Tether.
• MSc/PhD candidate in computer science or a related technical discipline
• Related Research Experience at least one of the following areas: LLM, computer vision, multimodality
• Be proficient with PyTorch deep learning framework and libraries
• Have excellent analytical and problem-solving skills, logical thinking skills, communication and collaboration skills
• Publications in the top AI conferences (e.g., ACL, NIPS, ICML, ICLR, CVPR, ICCV, ECCV, TPAMI, IJCV, etc.) is a nice to have.

Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:

• Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
• Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
• Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
• Double-check email addresses. All communication from us will come from emails ending in @or @tether.io
• We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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