Synthetic Data Jobs (NOW HIRING)

Familiarity with robotics simulation platforms such as Isaac Sim and synthetic data generation. * Experience with data labeling tools and annotation workflows at scale. * Hands-on knowledge of ...

... synthetic data generation. • Experience with data labeling tools and annotation workflows at scale. • Hands-on knowledge of TensorFlow and/or PyTorch from a data systems perspective. • ...

Additionally, we explore grounding that data in real-world distributions to ensure it generalizes. A major workstream within this agenda is population-grounded user simulation: synthetic users ...

Develop high fidelity synthetic data frameworks across sensor modalities * Optimize ML-powered validation of data quality and model readiness Tailor Your Impact : * High-Output Generalist: Work ...

... synthetic data sets for systems development and data science initiatives • Build and secure data pipelines to enable teammates, engineers, and client stakeholders • Collaborate with mission ...

Develop high fidelity synthetic data frameworks across sensor modalities * Optimize ML-powered validation of data quality and model readiness Tailor Your Impact: * High-Output Generalist: Work across ...

Develop high fidelity synthetic data frameworks across sensor modalities * Optimize ML-powered validation of data quality and model readiness Tailor Your Impact : * High-Output Generalist: Work ...

We are looking for a skilled Data Scientist to work closely with our Simulation and Machine Learning Evaluations teams to generate large synthetic datasets, analyze the gap between simulated and real ...

Apply synthetic data techniques to support research design, modeling, and data augmentation * Ensure appropriate use of synthetic datasets while maintaining analytical integrity and validity

Synthetic Data Generation: Develop and maintain synthetic data generation pipelines to augment evaluation coverage, stress-test safety boundaries, and support evaluation in low-resource languages.

Build synthetic data pipelines for verifiable domains (e.g., Math/Code). Design execution-based verifiers to drive the scaling of model capabilities. • Closed-Loop Attribution System: Establish a ...

Design and build synthetic data generation systems and simulation environments that produce high-signal, high-diversity training data for frontier AI models. * Architect and ship operational ...

Design and build synthetic data generation systems and simulation environments that produce high-signal, high-diversity training data for frontier AI models. * Architect and ship operational ...

Generate representative synthetic data sets for systems development and data science initiatives * Build and secure data pipelines to enable teammates, engineers, and client stakeholders

Innovate and experiment with new approaches for synthetic data generation to improve the diversity, realism, and representativeness of datasets. Collaborate with multi-functional teams to understand ...

About the Team The Synthetic RL team develops reinforcement learning methods that leverage synthetic data, environments, and feedback to train and evaluate frontier AI models. The team explores ...

You'll partner closely with our ML engineers to orchestrate ingestion, synthetic data generation, and versioned releases, ensuring that every dataset is not only high-integrity and available but ...

We are looking for a skilled Data Scientist to work closely with our Simulation and Machine Learning Evaluations teams to generate large synthetic datasets, analyze the gap between simulated and real ...

You'll partner closely with our ML engineers to orchestrate ingestion, synthetic data generation, and versioned releases, ensuring that every dataset is not only high-integrity and available but ...

You'll partner closely with our ML engineers to orchestrate ingestion, synthetic data generation, and versioned releases, ensuring that every dataset is not only high-integrity and available but ...