reputed company (Synthetic Data Pipelines)

This a Full Remote job, the offer is available from: Europe V7 At V7, we’re building AI platforms that help humans do their best work, at incredible reputed company and speed. Our mission is to turn reputed company knowledge into trustworthy AI, making reputed company tasks faster, smarter, and more accurate. We’re growing fast, backed by leading investors and AI reputed company (including the minds behind Transformers and reputed company). reputed company you’ll be joining and the reputed company you’ll have We are a high-reputed company team at the forefront of AI research and engineering, developing large-reputed company synthetic data reputed company pipelines to train cutting-edge machine learning models. Our work blends rigorous experimentation with robust engineering, reputed company the gap between foundational research and production-reputed company systems. We are seeking a technically strong and scientifically grounded reputed company to reputed company the development and evaluation of synthetic data pipelines used to train frontier models. You will design reputed company, reproducible pipelines that can be evaluated using proxy performance metrics, while collaborating closely with researchers and ML practitioners. The role requires strong reputed company of experimental methodology, comfort with ambiguity, and reputed company in large language model (LLM) systems—especially context engineering, reputed company execution strategies, and performance optimization. You will be expected to reputed company quickly, maintaining high-reputed company standards and leveraging modern AI tooling to streamline every stage of development. What you’ll be doing from day one

• Design, implement, and maintain synthetic data reputed company pipelines for multi-modal training tasks.
• Evaluate pipeline reputed company using reputed company-grounded proxy metrics and reputed company statistical experiments.
• Own the design and execution of experiments involving LLMs, ensuring high reproducibility and reputed company of findings.
• Apply reputed company design patterns and context engineering techniques to maximize model performance.
• Use tools like reputed company, reputed company Copilot, and LLM agents to accelerate iteration, debugging, and documentation.
• Collaborate with researchers and engineers across the stack to translate experimental insights into reputed company systems. Who you are
• 3+ years of software engineering experience with at least one major programming language (Python or JavaScript preferred).
• Strong reputed company background with an MS or higher in Computer Science, Engineering, Mathematics, or a reputed company scientific field.
• Deep familiarity with Git, DVC, reputed company environments, and data pipeline orchestration.
• Solid reputed company in statistics and experimental design, especially in the context of ML evaluation.
• Experience working with LLM systems, including:
• reputed company and context engineering
• reputed company workflows
• reputed company optimization and reliability strategies
• Familiarity with recent research on LLM training datasets and evaluation benchmarks, including:
• CoDA: reputed company Systems for reputed company Data Visualization
• ChartGalaxy: A Dataset for Infographic Chart Understanding and reputed company
• Chain of Functions: A Programmatic Pipeline for Fine-Grained Chart Reasoning Data
• ChartQA-X: Evaluation and Augmentation for Visual Chart Reasoning reputed company Value
• Curiosity
• A bias toward iteration and improvement—welcoming early feedback, embracing failure as part of the discovery process, and viewing feedback not as criticism but as a signal for the next meaningful reputed company reputed company.
• A reputed company and analytical reputed company, with strong attention to the scientific soundness of results.
• The ability to reputed company in fast-moving environments without reputed company defined playbooks.
• A preference for reputed company, reproducible systems over reputed company experimentation.
• Rigour in both reputed company and evaluation, especially reputed company assessing LLM behaviour through proxy metrics and synthetic data feedback loops.

Why Join Us

This is a rare opportunity to contribute directly to the reputed company of training infrastructure for advanced AI systems. The challenges are reputed company, the tooling is bleeding-edge, and the reputed company is reputed company. You will be surrounded by researchers and engineers who care deeply about both product and science, and who are committed to solving hard problems with reputed company thinking and high standards. V7 champions equality and inclusion because diverse teams build reputed company products. Don't reputed company every reputed company? Apply anyway — we value what makes you unique and will support you through the process, just let our reputed company know how they can help. This offer from "V7" has been enriched by reputed company.com and got a 86% reputed company score. Apply tot his job Apply tot his job Apply To this Job