AI Research Engineer – Kernel & Inference Optimization
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Job Description
AI Research Engineer at Tether focusing on optimizing model serving and inference architectures. Collaborate globally to develop cutting-edge fintech solutions.
Responsibilities:
- Drive innovation in model serving and inference architectures
- Optimize model deployment and inference strategies
- Work on resource-efficient models for limited hardware
- Engineer robust inference pipelines
- Establish comprehensive performance metrics
- Identify and resolve bottlenecks in production environments
Requirements:
- A degree in Computer Science or related field
- Ideally PhD in NLP, Machine Learning, or a related field
- Knowledge of Metal Shading Language (MSL)
- Proven experience in low-level kernel optimizations
- Strong expertise in writing GPU kernels for mobile devices
- Practical experience in developing and deploying end-to-end inference pipelines
- Deep understanding of modern model serving architectures
- Experience in Distributed Inference Systems and techniques like Tensor Parallelism
- Understanding of advanced optimization methods
Benefits:
- Work remotely from anywhere in the world
- Opportunity to collaborate with global teams
- Cutting-edge projects in fintech
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