AI Research Engineer – Kernel & Inference Optimization
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Job Description
AI Research Engineer focusing on model serving and inference at Tether, contributing to advancements in AI systems and architecture. Collaborating with a global team in a dynamic fintech environment.
Responsibilities:
- Drive innovation in model serving and inference architectures for advanced AI systems
- Design and deploy state-of-the-art model serving architectures that deliver high throughput and low latency
- Ensure pipelines run efficiently across diverse environments
- Establish clear performance targets
- Build, run, and monitor controlled inference tests
- Identify and prepare high-quality test datasets and simulation scenarios
- Analyze computational efficiency and diagnose bottlenecks in the serving pipeline
- Work closely with cross-functional teams to integrate optimized serving and inference frameworks into production pipelines
Requirements:
- A degree in Computer Science or related field
- Ideally PhD in NLP, Machine Learning, or a related field
- Must have knowledge of Metal Shading Language (MSL)
- Proven experience in low-level kernel optimizations and inference optimization on mobile devices
- A deep understanding of modern model serving architectures and inference optimization techniques
- Strong expertise in writing GPU kernels for mobile devices
- Practical experience in developing and deploying end-to-end inference pipelines
- Demonstrated ability to apply empirical research to overcome challenges in model serving
- Distributed Inference Systems: Designing and optimizing high-performance inference engines
Benefits:
- Work remotely from anywhere in the world
- Opportunity to collaborate with a global team
- Professional development opportunities to hone your skills
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