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This role involves developing state-of-the-art AI systems to empower scientists and physicians, focusing on using AI across modalities like images and text to accelerate scientific research. You will collaborate with scientists, engineers, and biologists to drive advancements in translational sciences, utilizing your background in data pipelines, large language models, and computer vision. A background in biology and/or medicine is preferred.
This role involves developing state-of-the-art AI systems to empower scientists and physicians, focusing on using AI across modalities like images and text to accelerate scientific research. You will collaborate with scientists, engineers, and biologists to drive advancements in translational sciences, utilizing your background in data pipelines, large language models, and computer vision. A background in biology and/or medicine is preferred.
You will be working on large-scale satellite and aerial imagery, developing models that detect and map buildings, roads, vegetation, and more. Train and fine-tune state-of-the-art vision models for geospatial analytics, research and implement cutting-edge ML architectures and workflows, and contribute to our no-code AI platform where the users can easily train models themselves.
You’ll be working on developing Large Language Models from scratch and deploying them into production environments where they will be accessible by end users across the globe. You will work with stakeholders to convert business requirements into technical specifications; train LLMs from scratch on a large GPU cluster; collect and process pre-training and fine-tuning datasets; support and improve existing subsystems.
Ai2 is seeking a talented and motivated Postdoctoral Young Investigator to join the FlexOlmo team, working on large language models designed for flexible data use, with a focus on Mixture-of-Experts (MoE), long-context language models (LCLMs), and retrieval. Postdoctoral Young Investigators will be based in Berkeley, California and this opportunity offers a unique chance to contribute to cutting-edge research in natural language processing and machine learning.
As a Data Science Intern, you’ll be at the forefront of delivering hope to patients everywhere with expertise in machine learning, computational biology, and chemistry to accelerate drug discovery.
Seeking a Machine Learning PhD Intern to join our AI research team and contribute to our innovative projects in the field of Large Language Modeling (LLM) and clinical data analysis. Candidates must be within 1 year of their graduation date from their PhD program. Candidates are expected to demonstrate both independence in defining their research strategy within a domain as well as an ability to apply innovative solutions to our products.
As a Staff Machine Learning Scientist, you will be a key technical leader responsible for designing and building our core deep learning models. You will tackle some of our most challenging technical projects, translating high-level scientific goals into robust and effective neural network architectures that can interpret complex mass spectrometry data.
This role centers on analyzing large-scale research and clinical datasets, developing and validating deep learning models for wearable sensor data, and collaborating with cross-functional teams to translate findings into production features and scientific publications. Your work will directly contribute to improving health outcomes for Oura members.