AI Data Scientist
18 hours ago
About the Role: As an ML Engineer at Liquid AI, you will work on designing and developing sophisticated synthetic and real-world data generation strategies that will feed and improve our AI model's training pipeline.
Responsibilities:
Design and implement comprehensive data generation strategies for foundation model training.
Develop synthetic data generation techniques that enhance model performance and diversity.
Curate, clean, and validate large-scale real-world datasets.
Create advanced data augmentation and transformation pipelines.
Ensure data quality, ethical considerations, and bias mitigation in data generation.
Develop tools and frameworks for reproducible and scalable data generation.
Monitor and assess the impact of generated data on model performance.
Requirements:
Experience with large language models or multimodal foundation models,
Knowledge of differential privacy and data anonymization techniques,
Experience with data ethics and bias detection,
Publications or research in synthetic data generation,
Understanding of scalable data processing architectures.
Salary: $160,000 - $220,000 per year
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