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Builds full-stack features for merchant tools in Wolt’s logistics platform, using Go/Kotlin backends and TypeScript/React frontends with cloud-native tooling.
About the Team The DoorDash Research Fellowship is a 3-month program (extendable to 6 months) looking for Summer and Fall 2026 cohorts, for researchers and engineers who want to work on the hardest applied ML and AI…
Lead AI-driven ranking and relevance systems for DoorDash’s ads marketplace, designing and deploying ML/LLM models to personalize ad delivery in real time across global markets.
Staff Software Engineer designs and maintains DoorDash’s global backend systems for its 3-sided marketplace, using modern web stacks, microservices, and databases to improve scalability and reliability.
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.
Build and scale DoorDash’s in-house Apache Spark platform, optimizing runtime, shuffle service, and Kubernetes-based scheduling to power data, analytics, and ML workloads at massive scale.
Build and operate DoorDash’s in-house Apache Spark platform, optimizing runtime, multi-tenant scheduling on Kubernetes, cluster lifecycle automation, and observability tooling at company-wide scale.
Develop flight control, motion planning, and mission planning algorithms for drone delivery systems using C++ and embedded platforms, testing in real-world flight scenarios.
Leads DoorDash’s Third-Party Risk Management (TPRM) program, designing security strategies for vendors, automating risk processes, and governing AI governance frameworks to ensure compliance and proactive risk mitigation across logistics and delivery ecosystems.
Integrates and tests software for robotics systems at DoorDash Labs, ensuring subsystems like OS, firmware, and networking work together reliably.
Build backend services for autonomous drone delivery, focusing on path planning, fleet management, and real-time airspace coordination to enable safe, scalable drone logistics.
Build and optimize AI frameworks, networking, systems, and tools in C/C++/Python to run models across hardware from supercomputers to edge devices, collaborating with hardware teams and ML researchers.
Senior Analyst in Financial Planning & Analysis at Diana Health, responsible for managing financial models, forecasting future growth, analyzing business operations, and preparing reports for leadership, with responsibilities including monthly close processes and deep-dive analyses.
Design and implement secure cloud infrastructure platforms, integrating hardware, firmware, and software security features like secure boot and hardware root of trust.
Owns the Salesforce Gov Cloud CRM roadmap, prioritizing features that align with business goals while collaborating with cross-functional teams to drive adoption and deliver scalable, compliant solutions.
Principal engineer building Cloudflare’s agentic-first data lakehouse platform (Trino, Iceberg, R2, Workers AI) to unify internal data access and enable SQL or plain-English queries across teams.
Coordinate and track technical documentation requirements, deliverables, and status for a defense-tech company, ensuring leadership has accurate, up-to-date briefings and action records.
Build and maintain ML infrastructure for autonomous military systems, including data management, model training/orchestration, and edge deployment pipelines using Python, PyTorch, and Kubernetes.
Set and enforce reliability architecture for Anduril’s internal business and manufacturing systems, designing observability, deployment safety, and incident response to scale production stability.
Set the reliability architecture for Anduril’s internal business systems, designing observability, deployment safety, and incident management to ensure scalable, AI-powered infrastructure for defense tech operations.
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