Member of Technical Staff - ML Research Engineer; Data Generation

Company: liquid.ai
Location: San Francisco
Posted on: April 22, 2025

Job Description:

Liquid AI, an MIT spin-off, is a foundation model company headquartered in Boston, Massachusetts. Our mission is to build capable and efficient general-purpose AI systems at every scale.Our goal at Liquid is to build the most capable AI systems to solve problems at every scale, such that users can build, access, and control their AI solutions. This is to ensure that AI will get meaningfully, reliably and efficiently integrated at all enterprises. Long term, Liquid will create and deploy frontier-AI-powered solutions that are available to everyone.We are seeking a highly skilled ML Engineer to play a critical role in our foundation model development process. The ideal candidate will be responsible for designing, developing, and implementing sophisticated synthetic and real-world data generation strategies that will feed and improve our AI model's training pipeline.Key ResponsibilitiesDesign and implement comprehensive data generation strategies for foundation model trainingDevelop synthetic data generation techniques that enhance model performance and diversityCurate, clean, and validate large-scale real-world datasetsCreate advanced data augmentation and transformation pipelinesEnsure data quality, ethical considerations, and bias mitigation in data generationDevelop tools and frameworks for reproducible and scalable data generationMonitor and assess the impact of generated data on model performanceRequired QualificationsPh.D. or Master's degree in Computer Science, Machine Learning, Statistics, or related fieldExperience in data generation, synthetic data creation, or machine learning data pipelinesStrong programming skillsExperience with machine learning frameworks, ideally PytorchDeep understanding of generative AI techniquesExpertise in data augmentation, transformation, and cleaning methodologiesStrong statistical and mathematical backgroundPreferred SkillsExperience with large language models or multimodal foundation modelsKnowledge of differential privacy and data anonymization techniquesExperience with data ethics and bias detectionPublications or research in synthetic data generationUnderstanding of scalable data processing architecturesprojects
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Keywords: liquid.ai, San Francisco , Member of Technical Staff - ML Research Engineer; Data Generation, IT / Software / Systems , San Francisco, California