
Senior AI Systems Developer
2 weeks ago
Solve complex machine learning challenges in a dynamic environment, developing scalable systems to support our safety and trust features.
Key Responsibilities- Design and implement large-scale multimodal ML models to enhance precision and recall of Trust & Safety evaluations.
- Work with cutting-edge LLM/genAI techniques to drive innovation in Trust & Safety.
- Track the latest ML research and integrate ideas into practical solutions.
- Productionize ML solutions: Develop robust systems for training, deploying, and monitoring ML models at scale.
- Leverage existing ML infrastructure and partnerships to build scalable and modular ML systems.
- An M.S. or Ph.D. degree in Computer Science or related engineering fields, and/or 5+ years of practical machine learning experience.
- A track record of applying statistical techniques to real-world problems.
- Expertise in one of the following fields: text classification, image classification, multimodal machine learning, LLMs/genAI, active learning / human-in-the-loop, reinforcement learning.
- Experience training, deploying, monitoring, debugging, and iterating on production machine learning systems.
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