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Machine Learning Engineer 4 Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery…
Principal Associate, Data Scientist - Alternative Data Strategy Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using…
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Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment…
Job Description: At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients,…
Elevate your engineering prowess to unprecedented levels by joining a team of exceptionally gifted professionals and position yourself among the top echelon in site reliability. As a Senior Lead Site Reliability…
Job Description: I. Position Summary : Biomedical researcher with specialized training in quantitative methodology and a research focus on the biology of aging who: Manages, cleans, harmonizes, and analyzes complex…
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity,…
Lead Azure Monitor’s telemetry pipeline and configuration management, driving investments in data collection, routing, and governance to scale observability for Microsoft’s cloud services.
Backend engineer on Avride's Labeling team, building Python services, APIs, and data pipelines that ingest, validate, and orchestrate labeling of massive lidar/camera/radar sensor datasets for autonomous-vehicle perception ML. Hands-on IC role with PostgreSQL, Docker/Kubernetes, and cloud storage; onsite in Austin.
Builds and maintains Lyft's ride-time prediction system using ML models and distributed tools, ensuring low-latency, high-reliability ETAs for millions of daily rides.
Machine learning engineer on Lyft's Routing team, which builds the system that generates routes for millions of ride requests daily with low latency and high reliability. Day to day involves data analysis, building statistical/ML/optimization models, and writing production-quality Go/Python/C++ code on AWS, Kubernetes, Airflow, Flink, and Kafka.
Staff data engineer who designs and operates large-scale batch and streaming data pipelines (Spark, Kafka, Flink, Airflow, Kubernetes) that turn billions of daily ad-auction events into clean, queryable datasets powering reporting, billing, and ML at Index Exchange, a programmatic advertising supply-side platform.
Senior software engineer at iSpot.tv, a TV ad measurement company, owning mission-critical big-data domains that process massive media metadata streams on AWS. Day to day: architecture and code reviews, CI/CD and platform engineering, cost optimization, and mentoring, with an 'AI-native' expectation of using and championing AI coding tools (Java, Spring Boot, MySQL, RabbitMQ, Kubernetes).
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Builds and refines ML models (pricing, forecasting, scoring) and dashboards, using Python, Scikit-learn, XGBoost, and generative AI to deliver data-driven insights for client decision-making.
Builds and maintains mission software for Defense and Intelligence clients at Reinventing Geospatial (RGi) in Herndon, VA: agile Java development, COTS/FOSS integration, testing/debugging, and big-data tooling (Kafka, Hadoop, Docker/Kubernetes). Requires US citizenship, an active TS clearance, and SCI/CI polygraph eligibility.
Data engineer consultant building, maintaining, and optimizing data pipelines for international Big Data projects on AWS, working with PySpark, Glue, and Airflow. Offered as 100% remote or hybrid from Madrid/Asturias with a permanent contract; C1-level English is mandatory.
Data Engineer (CDP Specialist) who builds and operates a Customer Data Platform used for marketing automation at a global pharma client — managing data pipelines, platform stability and compliance within a DevOps/Agile product team. Core stack: SQL, Python/Pandas, DigDag, Atlassian suite, with Treasure Data CDP/Data Cloud a plus.
Backend software engineer at an established Swiss technology company in Bern that provides global communication and international roaming services. The role involves building scalable big-data processing solutions across the full software lifecycle, mainly in Java with Spring Boot, Kafka and Flink. On-site in Bern at 80% workload; open to Swiss or EU/EFTA citizens with valid work authorization.
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