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Build and scale high-performance data pipelines and warehouse models to power analytics and reporting at DoorDash, using Python/Java, Spark, Airflow, Kafka, and Snowflake.
Lead the design and scaling of DoorDash’s data infrastructure, building reliable pipelines and models for analytics, reporting, and financial systems using Python/Scala, Spark, Airflow, and streaming tech.
Architect and scale the ML platform for autonomous defense systems, building training, orchestration, and serving infrastructure for AI models like LLMs and computer vision in cloud and air-gapped edge environments.
Builds and operates distributed data pipelines processing billions of events daily to power AI-driven insights, using Python, Spark, Kafka, Flink, and SQL in Palo Alto.
Build and maintain scalable data pipelines and quantitative models to power AI-driven decision-making using Python, SQL, and distributed systems like Spark.
About Albertsons Companies Inc: As a leading food and drug retailer in the United States, Albertsons Companies, Inc. operates over 2,200 stores across 35 states and the District of Columbia. Our well-known banners…
Description & Requirements Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across…
Designs and builds petabyte-scale data pipelines to ingest, transform, and prepare heterogeneous biological datasets (genomics, imaging, metadata) for AI model training, ensuring scalability, reliability, and scientific accuracy to accelerate disease research.
Software Developer with Full Stack C# and SQL Server Our Client is an international company in the media industry. They are looking to recruit an additional Software Engineer/Developer with full stack software…
Job Title: Python Developer (Contract, Hybrid) - Bromley (Kent/SE London) 2-3 days a week Job Description Overview We are seeking a Python Developer to join a high-performing regulatory technology team within a leading…
Senior Data Scientist builds ML-driven demand forecasting, pricing, and supply-chain optimization models to ensure the right licensed sports merchandise is available to fans at the right time and place.
Design and build scalable .NET microservices for an iGaming platform, focusing on high-load systems, event-driven architecture, and mentoring engineers.
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at…
Architect and build end-to-end data & AI solutions for enterprise customers using Databricks, spanning pipelines, ML models, and apps while guiding adoption and best practices.
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Marketplace teams are at the heart of our…
Builds and optimizes real-time pricing systems for Lyft’s rideshare platform, focusing on rider engagement, demand/supply balancing, and distributed computing solutions using Python, Go, and AWS.
Data Scientist on Lyft's Mapping team in Toronto, improving route recommendations and travel-time accuracy using geospatial, behavioral, and mobility data. The role owns the full ML lifecycle — problem formulation, experimentation, and production ML systems — using tools like PyTorch, TensorFlow, Ray, and Spark on a hybrid in-office schedule.
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major…
The Reliability Analytics Team is on a mission to improve decisions and systems in Platform Reliability Engineering (PRE) through data and data science. We address a broad spectrum of reliability problems where…
Overview The Senior Data Scientist will support the Defense Health Agency (DHA) Revenue Cycle Operating System (RevOS) initiative by designing and implementing advanced analytics, statistical models, predictive…
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