Top Tech Jobs & Startup Jobs in Charlotte, NC

Build and operate next-generation ML data and feature infrastructure, including near-real-time feature computation engines, feature stores, and embedding retrieval systems. Scale data processing, storage, and serving for high-throughput training and low-latency inference. Collaborate with ML practitioners and AI Platform teams to improve feature discovery, sharing, and practitioner productivity.

Design and implement machine learning and optimization algorithms for the ad marketplace; build, train, and evaluate large-scale production models; develop online and offline evaluation frameworks; partner with product on objectives and trade-offs; communicate results to stakeholders.

Lead coordination of complex technical aspects of multiplayer game development, manage external partners and outsourcing, oversee technical pipelines and tool building, mentor engineers, identify and mitigate technical risks, and drive advanced multiplayer feature production while collaborating with cross-functional senior teams to align on project vision and delivery.

Build and maintain low-latency, highly available distributed data systems and services to deliver high-quality data for product, analytics, and ML. Partner with data scientists and product teams to design scalable, observable, multi-tenant data products using batch and real-time processing frameworks. Ensure 24x7 reliability, monitoring, and operational excellence while owning end-to-end delivery.

Build and operate scalable, fault-tolerant distributed data infrastructure and platforms. Design and implement RESTful services, tackle multi-threading and reliability challenges, partner cross-functionally to enable data movement, storage, schema management, and developer experience at large scale.

Design, build, and operate cloud-native, large-scale distributed data infrastructure (Spark, Presto/Trino, Druid, Iceberg). Improve performance, scalability, and reliability, collaborate cross-functionally, and contribute to open-source projects.

Lead two teams (Consent Data & Privacy and User Data Management) as a manager-of-managers, owning execution and multi-year technical vision for user consent, data collection, storage, pipelines, access, retention, and compliance. Partner with Product, Data Engineering, and Legal to enforce consent and data governance at scale, adapt to evolving regulations, and drive architecture and platform solutions.

Lead a team of senior data scientists and analytics/experimentation engineers to partner with engineering, scale insights, innovate metrics and experimentation, and apply statistics and analytics to improve Netflix streaming product and member experience.

Conduct and productize cutting-edge multilingual live caption and translation research. Build and integrate ML/DL models, partner cross-functionally, act as domain expert, and present research across the company to drive localization impact.

Design and build scalable, maintainable Android client infrastructure and product experiences using Kotlin and modern Android tooling. Define best practices, write automated tests, improve app architecture (MVVM, unidirectional state), collaborate with product and design, mentor engineers, and lead high-impact projects to improve performance, quality, and developer velocity across the Netflix Android app.