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As MLRE on the Data Foundation team, you'll work on cutting edge research to define the data flywheel that makes the whole machine move. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal d
Machine Learning Engineer to help build production-grade NLP systems that power our data privacy and information extraction products. Founded in 2018, with offices in San Francisco, Atlanta, New York, and London, the company is pioneering enterprise tools for data transformation, de-identification,
The project scientist will make significant and creative contributions in the area of machine learning & data analytics. Expertise in databases, data infrastructure, data governance. Develop machine learning approaches, computer vision tools to help pre-process dataset and annotations to generate gr
Strong background in statistical analysis and modeling, including correlation analysis, clustering methods, probability theory, principal component analysis, outlier detection, and data visualization. As a Machine Learning Engineer focused on data, you'll be the expert on what's in our datasets and
Dive into the development and implementation of cutting-edge generative AI applications using the latest large language models-think GPT-4, Claude, Llama, and beyond! Take on the challenge of optimizing neural networks for natural language processing and machine perception, drawing on a toolkit that
Create data sets, recipes for human and machine labeling, methods and recipes for continuous logging, data intake, selection and incremental updates of models, stream eval data set curation, sampling & slicing, enable data-driven decision making, develop methods for logging, data mining and recipes
This role involves designing real-time data systems, mentoring engineers, and ensuring data governance. A leading video game company in San Mateo seeks an ICDS Staff Data Engineer to lead technical initiatives in developing large-scale data platforms. Ideal candidates will have 10-12+ years in data
As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday peopl
As part of our expanding Data Science function, we're building a best-in-class forecasting capability to drive real-time, data-driven decision-making across user growth, revenue, compute infrastructure, and more. Extensive experience building production-ready models for time series applications. A p
A leading data technology organization in California seeks a Sr Data Engineer to create and maintain optimal data pipeline architecture. This position emphasizes building efficient data pipelines and collaborating with cross-functional teams to support data infrastructure needs. Opportunities exist
We’re looking for a Staff Machine Learning Data Engineer to lead and build the data pipelines powering Backflip’s foundation model for manufacturing and CAD. Join to apply for the Staff Machine Learning Data Engineer role at Backflip AI. You’ll design the systems, tools, and strategies that tu
A leading cloud data platform in Menlo Park seeks a Senior Software Engineer to design and implement scalable data integration features.
Dive into the development and implementation of cutting‑edge generative AI applications using the latest large language models—think GPT‑4, Claude, Llama, and beyond! Take on the challenge of optimizing neural networks for natural language processing and machine perception, drawing on a toolki
Strong knowledge of experimental design and statistical analysis. Qualitative and quantitative data analysis/synthesis. Perform multivariable statistical analyses (ANOVA, Mixed model analysis, linear & logistic regression, correlation) using SPSS.
A tech company focused on innovative reading solutions seeks a Machine Learning Engineer II to design and optimize ML systems that serve millions in real time. The ideal candidate has extensive experience in building ML pipelines and a solid understanding of cloud technologies.
Design, develop, and maintain scalable data pipelines and ETL processes to extract, transform, and load data at large scale (in the order of 100sTB). Machine Learning libraries: Pytorch, Jax, model and data parallelism. We are an ambitious and rapidly growing team pushing the boundaries of what is p
In this role, you will harness your expertise in Python and Scala to develop robust data processing tools and pipelines, working with cutting-edge technologies in a hybrid environment. You'll play a crucial role in shaping the company's data landscape, collaborating with cross-functional teams to dr