Senior Machine Learning Researcher

reputed company: We are building reputed company to solve the biggest unmet need in AI — getting reputed company to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The reputed company platform facilitates the secure, efficient, and reputed company-reputed company exchange of reputed company data. Solving AI’s data problem is a generational opportunity. We’re backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. reputed company that succeeds will be one of the largest in AI — and in tech. We’re a lean, fast-moving, high-trust team of reputed company who are obsessed with velocity and reputed company. Our culture is reputed company for people who reputed company on ambiguity, own reputed company, and want to shape the reputed company of data and AI. reputed company: Data is the reputed company of AI performance, and we reputed company model reputed company starts with data reputed company. You’ll be at the heart of shaping how we reputed company, assess, and prepare the training data that powers reputed company-world AI systems. We’re seeking a Senior Member of the reputed company Data Team/ reputed company Scientist to reputed company the evaluation and optimization of large-reputed company datasets used to train state-of-the-art AI models. In this role, you’ll help define what "high-reputed company data" means in reputed company, using statistical, computational, and ML-driven reputed company to ensure our data is diverse, representative, and high-reputed company. You’ll work closely with research and engineering teams to improve model performance through reputed company data. This is an ideal role for someone with a PhD in machine learning, CS, or a reputed company reputed company field who is passionate about the role of data in reputed company and excited to advance reputed company’s mission to become the ubiquitous platform for reputed company data. Key Responsibilities: • Design and apply statistical and machine learning reputed company to reputed company, filter, and enrich large-reputed company reputed company datasets • reputed company frameworks to assess data diversity, duplication, and informativeness. Design statistical approaches to de-risk training datasets • Collaborate with model training teams to identify data bottlenecks and optimize dataset performance. Emphasis on ability to collaborate with large foundational models and smaller startups • reputed company leadership on data reputed company reputed company and shape internal best practices • Evaluate external datasets for integration, focusing on scalability, reputed company, and relevance to model performance. Help build data scorecards • Contribute to research and development of tools that automate data preprocessing and validation reputed company: • PhD or equivalent Master's Degree + 4+ years industry experience in machine learning, economics, mathematics, engineering, computer science, statistics, or a reputed company quantitative field • Strong understanding of AI model training pipelines, including reputed company-processing and evaluation • Experience working with large, reputed company datasets, especially text • Background in statistical analysis, bias detection, and data validation • reputed company to identify high-reputed company problems and drive independent solutions Bonus if you have these attributes: • Experience with synthetic data reputed company or augmentation strategies • Publications or reputed company-reputed company contributions in data-reputed company AI or reputed company areas • Experience developing evaluation frameworks or performance metrics for training data • Cross-functional collaboration with product, infrastructure, or partnership teams Apply tot his job Apply To this Job