
AI Research Developer
2 weeks ago
Job Overview
Tether is a leader in innovative solutions that enable seamless integration of reserve-backed tokens across blockchains.
We're seeking a skilled professional to develop evaluation frameworks and benchmark methodologies for pre-training, post-training, and inference of AI models.
- This role will focus on designing metrics and assessment strategies to ensure models are responsive, efficient, and reliable across various applications and hardware environments.
Key Responsibilities
- Create evaluation datasets and benchmarks to measure model robustness and improvements.
- Develop and deploy evaluation frameworks assessing models at all stages, tracking key performance indicators such as accuracy, latency, throughput, and memory footprint.
- Analyze evaluation data to identify bottlenecks, propose optimizations, and enhance model performance and scalability.
Requirements
- Degree in Computer Science or related field; PhD in NLP, Machine Learning, or similar is preferred.
- Proven experience in designing and evaluating AI models across different lifecycle stages.
- Strong programming skills and experience with evaluation benchmarks, pipelines, and performance metrics.
- Ability to conduct iterative experiments and stay current with emerging trends.
What You'll Gain
- Contribute to the development of cutting-edge AI solutions.
- Collaborate with cross-functional teams to drive business goals.
- Enhance your expertise in AI research and development.
Skills Required
- Deep understanding of AI models and their evaluation.
- Programming skills in languages like Python.
- Experience with machine learning frameworks and tools.
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