Data Pipelines Jobs
86 open roles mentioning Data Pipelines
Principal Research Scientist, Synthetic Data Generation
nvidia
NVIDIA is seeking a Principal Scientist to lead the technical direction for synthetic data generation across its frontier model initiatives. This role involves defining and building open-source libraries within the NVIDIA NeMo ecosystem to create synthetic datasets for text, code, structured, and multimodal data. These datasets will be crucial for the pre- and post-training of large language models like Nemotron. The position blends hands-on software engineering with applied research in generative methods, requiring collaboration with various internal teams and external research labs.
$272k - $431k
Researcher, Agent Safety, Training and Evaluations
OpenAI
The Agent Safety team is dedicated to ensuring that advanced AI agents operate safely, make sound judgments, and align with user intentions. The mission is to minimize the risk of severe unintended consequences from increasingly capable AI agents while maintaining their effectiveness and autonomy. This involves creating training methods, environments, and data to teach agents better decision-making, building evaluation systems to identify emerging risks, and developing oversight mechanisms to reduce harmful actions.
$380k - $500k
Research Manager, Biological Safety
Anthropic
Anthropic's Safeguards organization is responsible for developing the policies, evaluations, and enforcement systems that prevent AI models from causing catastrophic harm. We are seeking a manager to lead our biological safety research engineering team. This team focuses on creating the evaluations, datasets, and classifiers that govern how our models handle biological knowledge. You will guide a team of research scientists and engineers in designing and executing capability evaluations on frontier models, curating safety classifier training data, and training/iterating on these classifiers. Your role involves setting technical direction, making investment decisions, and owning team outcomes, while maintaining technical depth to review designs and analyze failure modes. The team's core challenge is balancing robust safeguards against sophisticated actors with enabling legitimate researchers in the life sciences.
$405k - $485k
ML Infra Engineer, Data Systems
Physical Intelligence
Physical Intelligence is building general-purpose AI for the physical world, developing foundation models and learning algorithms for robots and future devices. As an ML Infra Engineer focused on Data Systems, you will construct and manage the data infrastructure essential for large-scale robot learning. Your work will bridge raw data sources and the training/evaluation phases, ensuring speed, accuracy, and reliability as systems scale. This role is a systems-focused position at the intersection of distributed systems, storage, and machine learning infrastructure.
Senior/Lead Software Engineer, Developer Productivity (AI Tooling)
Salesforce
Salesforce is seeking a Lead Member of Technical Staff to join the AI Solutions team. This role will focus on building internal products and platforms that enable Salesforce engineers to adopt AI-assisted development safely and effectively. You will be responsible for designing, building, and owning full-stack product and platform capabilities, including desktop applications, backend services, data pipelines, and dashboards. The goal is to translate fast-moving AI developer productivity ideas into reliable software used by thousands of engineers daily, driving innovation and efficiency at scale.
$149k - $260k
Software Engineer, Research Tools
Thinking Machines Lab
Thinking Machines is building AI to extend human will and judgment, developing frontier models and crafting interfaces for human-AI communication. We are seeking a Software Engineer to join our full-stack team, which works closely with researchers to build systems that accelerate research and engineering velocity. You will own key parts of our internal platform, including evaluation and training libraries, experiment-tracking systems, and visualization tools. This role involves identifying researcher bottlenecks and transforming them into reliable, generalizable systems, requiring strong technical judgment, cross-functional collaboration, and product intuition. Success means building systems that researchers trust, rely on daily, and find delightful to use.
$300k - $350k
