Join Tether and shape the future of digital finance. Tether is a global financial revolution pioneer, empowering businesses with cutting-edge solutions.

Company: Tether.io

Role: AI Research Engineer (Kernel & Inference Optimization)

Location: Remote

Experience:

PhD in NLP, Machine Learning, or a related field
Solid track record in AI R&D with good publications in A* conferences
Proven experience in low-level kernel optimizations and inference optimization on mobile devices

Qualification:

Degree in Computer Science or related field
PhD in NLP, Machine Learning, or a related field

Role Focus: • Design and deploy state-of-the-art model serving architectures • Build, run, and monitor controlled inference tests • Identify and prepare high-quality test datasets and simulation scenarios • Analyze computational efficiency and diagnose bottlenecks • Work closely with cross-functional teams to integrate optimized serving and inference frameworks

More skills:

Custom compute shaders, GPU kernels for mobile devices, Model serving frameworks and engines, Distributed Inference Systems

Other:

Excellent English communication skills
Ability to apply empirical research to overcome challenges in model serving
Proficient in designing robust evaluation frameworks and iterating on optimization strategies

AI Research Engineer (Kernel & Inference Optimization)

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