Help build out a suite of end-to-end modeling pipelines to produce high-quality estimates of message effectiveness. Improve pipeline reliability, data quality checks, and model diagnostics to increase confidence in our modeling outputs. Deliver actionable guidance to important internal stakeholders, helping them understand nuances of the model output.

The Senior Data Engineer position will design and develop data streaming architectures leveraging microservice and message-oriented integration patterns and practices within AWS cloud native technologies. The role involves scaling data ingestion pipelines, collaborating with stakeholders, writing clean code, and ensuring data integrity.

In this role, you will report to the Director of Analytic Engineering or Head of the Data Office and support a wide range of architecture, engineering, BI, and other special projects across the organization providing strategic recommendations and hands-on technical expertise to architect solutions and address emerging challenges.

Mixbook's Analytics team is looking for a Senior Analytics Engineer to help rebuild and scale their analytics foundation. You’ll focus on modeling clean, reliable data in dbt, transforming it into Looker dashboards the business can trust, and defining core metrics used across teams. This role is ideal for someone who can balance hands-on technical execution with a strategic mindset.

Saviynt is seeking a Principal Data Engineer to lead the development, administration, performance optimization, and upgrade process for ElasticSearch. The ideal candidate will own the strategy and execution for scalable, high-performance search and analytics solutions, ensuring optimal data indexing, retrieval, and storage efficiency. This role is critical to modernizing our data infrastructure.

The student will work on theoretical foundations of deep learning with focus on foundation model and developing theoretical frameworks. They will conduct empirical analysis on understanding abstraction, generalization, and mechanistic interpretability of foundation models and contribute to research paper(s) documenting the output of conducted research.

Conduct research and development in neuro-symbolic computing and intelligence with a focus on mathematical foundations of safe, robust, responsible, and ethical AI. Actively participate in existing and new projects on neuro-symbolic computing and intelligence for government and commercial clients. Co-develop research ideas and lead the experimental evaluation of these ideas.

Enhance how millions of customers connect with both novel and nostalgic food experiences on Goldbelly's platform. Partner with business leaders and leverage state-of-the-art data engineering and analytics resources to transform their data infrastructure and pipelines.

Unlock offline & real-time access to trillions of data points for our ML and Data Science teams by managing, expanding, and optimizing our feature store that enables feature engineering, multi-TB scale training jobs, and offline / real-time inferencing. Support PB scale data operations on the feature store using Apache Spark, Spark Structured Streaming, Kafka, and Ray. Partner with other teams and business stakeholders to deliver ML and AI initiatives.

As a Senior Technical Program Manager, Data, you will lead the planning and coordination of the delivery of complex data initiatives, aligning multiple engineering teams to enhance DIG’s efficiency and impact. Your work will empower DIG to discern our users' needs better and measure product efficacy.