Staff Software Engineer
3 days ago
We are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it's consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future.
Job OverviewNielsen Global Media uses cutting-edge technology and industry-leading data science to tackle some of the hardest problems in marketing science. We're automating our models with artificial intelligence and machine learning to produce the same quality insights as a traditional white-glove consulting engagement at unparalleled speed and scale. Intelligence Studio is a horizontally scalable, cross-cloud technology-agnostic platform built with trusted open-source components like VS Code, Apache Airflow, Jupyterhub, and MLFlow. It allows data scientists to focus on doing data science by taking care of essential concerns like data access, logging, configuration, resource negotiation, dependency management, orchestration, and testing.
Responsibilities- Build software and integrations in a cloud-based microservices environment (kubernetes) for big data applications with Spark, Ray, etc.
- Write software in Python, TypeScript, Go, Java, and Scala.
- Work with stakeholders and technical leadership to design and build interfaces, workflows, and services that enhance the delivery of data science products.
- Actively participate in team code reviews and enforce quality standards.
- Work within a cross-functional team to author clear and purposeful epics/stories.
- Promote and enforce best practices in development and operations.
- Identify opportunities and weaknesses in the platform architecture.
- Design and develop data visualization tooling using Electron, Jupyterhub, Plotly, TypeScript, and Pandas to enhance data exploration workflows for data science.
- Integrate data science visualization and diagnostic tooling like Tensorboard, Ray Serving, Spark History Server into an existing distributed compute and development environment.
- Build secure integrations with the Kubernetes API, allowing the management of user workloads in a shared environment with potentially sensitive data.
- Understand and debug interactions between cloud networking components (ALBs, web API proxies), cluster ingress, and security using Kong and Istio, Python-based web servers, and modern web transfer protocols like WebSockets and HTTP3.
- You are an experienced software engineer with a proven track record of quickly learning and implementing new technologies. You love technology and are excited to work on a high-performance team building a very ambitious product. You are looking for an opportunity to grow your career and your technical depth by diving into a project working on the current state of the art in big data and cloud technologies.
- Bachelor's degree in Computer Science or a related technical field, or equivalent industry experience.
- Experience with TypeScript, Python, Kubernetes, Airflow, Electron, Jupyter, Pandas, Keras, Ray, TensorFlow, CUDA, Apache Spark, Istio, Scala, Java, Go, Kong, cloud software design, containerized microservices, and distributed caching.
- Experience with machine learning (RNNs, CNNs, random forest, LLMs) is a plus.
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