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Define and execute the roadmap for agentic Conversational AI evaluation infrastructure and platform tools at Uber, working closely with AI/ML and engineering teams to scale intelligent support agents.
Build foundational infrastructure, distributed storage platforms, and high-performance data pipelines powering core services for millions of users at Uber, working across low-latency, high-correctness systems at massive scale.
Software Engineer I at Uber designing, developing, and testing data systems, ETL pipelines, and distributed systems using Python, SQL, and big data frameworks to support global ride-hailing operations.
Architect and develop mission-critical backend systems for a documents platform, focusing on document lifecycle management, validation, and workflows using microservices, event-driven architectures, and Golang, Java, or Python.
Build and scale backend infrastructure for message delivery, pacing algorithms, and personalization engines at Uber using Python/Java/Go/TypeScript, microservices, SQL/NoSQL, Docker, Kubernetes, and distributed computing frameworks like Spark or Flink.
Senior Data Scientist leading a fraud prevention analytics team, using SQL, Python, R, and statistical methods to design experiments, build predictive models, and drive risk/fraud mitigation insights across Uber's global marketplaces.
Software Engineer II building backend systems for message delivery optimization, frequency capping, and real-time orchestration at scale, using Python/Java/Go/TypeScript, microservices, SQL/NoSQL, Docker/Kubernetes, and distributed computing frameworks.
The Software Engineer on the Core Data team will design and implement high-performance systems for capturing, storing, and retrieving data from autonomous vehicles using modern C++. This role involves solving complex challenges related to real-time data constraints and multi-host architectures.
Leads a full-stack engineering team (frontend, backend, DevOps) building EV platform software like fleet dashboards, payment systems, and vehicle configuration tools, bridging software and firmware while driving technical excellence and delivery.
Lead marketplace growth for Bidbus, an automotive marketplace where dealerships bid on vehicles from individual sellers; focus on dealer onboarding, liquidity systems, and matching algorithms to scale transactions.
Coordinates QA testing for automotive tapes, executing protocols, analyzing results, and collaborating with teams to improve product performance.
Sourcing Analyst at Wing manages supplier relationships and negotiates contracts to scale drone-delivery infrastructure and logistics networks globally.
The Data Engineer will join a Data Science team to deliver digital and data solutions for the UK transport and built environment sectors. This is a hybrid role based in London, Milton Keynes, or Birmingham with a unique 9-day fortnight schedule.
Senior Full-Stack Developer on a transport/data platform project in Bern, working with Java, Angular, Spring Boot, Kafka, MongoDB, and OpenShift/Kubernetes in an agile (Scrum/SAFe) team.
Build and implement motion-planning and control algorithms in C++/Python to guide autonomous vehicles safely through dynamic environments, from highway driving to complex urban scenarios.
Designs in-vehicle interfaces and experiences for Wayve’s autonomous driving tech, blending user research, interaction design, and visual craft to create intuitive, accessible tools for operators and guests. Focuses on multi-modal feedback (visual, sound, haptics, lighting) and cross-team collaboration.
Cybersecurity Engineer focused on product security assessments, threat modeling, and risk evaluations of Wabtec's web and embedded/connected rail products throughout the SDLC, ensuring compliance with standards like IEC 62443, NIST, and ISO 27001.
Lead end-to-end hardware development for High Voltage Battery Management Systems (HV BMS) in automotive, including schematic design, circuit simulation, validation, testing, and documentation.
Data Scientist & Engineer in the R&D team at a telematics company, working on large-scale data analysis, model development, data warehouse enrichment, and cloud-based data exports for internal and external clients.
Data Scientist & Engineer joining the R&D team in Treviso to analyze large data volumes, develop product-improving models, and support data extraction in a cloud infrastructure context with cross-functional collaboration.
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