"large scale model training" Jobs

Join Sesame as a Data Engineer to build and maintain data pipelines for AI models in a team of experts from leading tech companies.

Join Perplexity AI as an AI Infrastructure Engineer to build and optimize large-scale AI training and inference clusters.

Design and implement state-of-the-art ML models and systems for Stripe Capital, collaborating with product teams to drive business goals.

Join Reflection AI as a Member of Technical Staff to research and build solutions for large language models in a fast-paced startup environment.

Join Databricks as a Staff Software Engineer to build LLM infrastructure for large-scale AI workloads.

Join a small, passionate team to build data systems for training frontier coding models at Cursor.

Join DeepL as a Senior Research Scientist to drive foundational modeling decisions for next-gen translation systems.

Drive research on Pegasus's complex problems in a hybrid role at a growing AI company focused on video understanding.

Join Sprinter Health as a Staff Machine Learning Engineer to build and lead the ML engineering function in a hybrid work environment.

Join Mind Robotics as a Data Infrastructure Engineer to build and scale data pipelines for high-dimensional sensor data.

Join Perplexity AI as a Machine Learning Research Engineer intern to enhance search quality through advanced deep learning techniques.

Join Together AI as a Platform Engineer to build and improve infrastructure for model customization and evaluation in a collaborative environment.

Join Reflection AI as a Data Quality Engineer to ensure high data standards for AI model training and evaluation.

Lead a data team at Cartesia to enhance the quality of multimodal AI training data and infrastructure.

Lead the unification of large datasets to power generative audio models in a fast-moving team at Udio.

Lead a high-performing machine learning team to innovate and optimize engagement prediction models for Reddit's Ads.