Build and operate large-scale backend systems that detect fraudulent activity using rules, machine learning models, and high-volume data pipelines.
Investigate end-to-end systems to understand how fraudulent listings are created and where vulnerabilities exist.
Partner with machine learning engineers, data scientists, product managers, and operations teams to deliver high-impact fraud prevention initiatives.
This partner company is a mission-driven trust organization focused on protecting users from fraudulent listings and harmful experiences. They operate a global platform and value curiosity, technical depth, and collaboration among their teams.
Build modular, plug-and-play AI agents that integrate into a broader agentic architecture.
Design and implement memory capabilities, including short-term and long-term memory, summarization, and retrieval-backed context.
Own quality through testing, evaluations, monitoring, and observability.
They build AI-powered applications to transform proposal workflows in the architecture, engineering, and construction industry. They operate in a fast-moving, remote environment with a focus on experimentation and continuous learning.
Lead AI/ML strategy, architecture, and technical implementation across complex programs.
Design, develop, and deploy scalable AI/ML models and intelligent systems for decision support and automation.
Integrate cybersecurity, data governance, and compliance into AI/ML development workflows.
This company specializes in AI and machine learning solutions, focusing on secure, scalable production deployments. It fosters a collaborative culture with opportunities to work on advanced technologies and mentor others.
Lead a team building foundational identity, authentication, and fraud-risk systems for a large-scale digital marketplace.
Partner with Product, Security, Data Science, and Legal to solve adversarial problems at scale with AI and risk signals.
Manage backend engineers, define technical strategy, and ensure reliable delivery of critical platform services.
This job posting is for a partner company seeking an Engineering Manager, Fraud & Identity Platform. It focuses on protecting a large-scale digital marketplace through identity and fraud-risk capabilities.
Develop resilient, high-scale, low-latency distributed microservices running on hundreds of cloud nodes.
Solve complex scaling challenges for ML inference on vast geospatial data.
Collaborate with ML and GIS engineers to maintain cutting-edge GIS software products.
Blackshark.ai provides a scalable AI platform for geospatial insights, enabling custom model training on global features with real-time accuracy. Founded in 2020, they have secured $35 million in series A funding from top US and European investors and work with customers in intelligence, government, and enterprise sectors.
Develop, test, and release improvements to the Ubuntu Pro client, a command-line tool managing specialist services on Ubuntu.
Collaborate with distributed teams, write high-quality Python code, debug issues, and review code from other engineers.
Work remotely with global travel 2-4 weeks per year for internal and external events.
Canonical is a leading provider of open source software and operating systems, publishing Ubuntu, a platform for AI, IoT, and cloud. With 1200+ colleagues in 75+ countries, the company is founder-led, profitable, and growing with a pioneering distributed work culture.
Design and implement RAG pipelines that ground conversational AI responses in customer clinical data, ensuring accuracy and safety in healthcare workflows.
Build tool-calling and MCP architectures enabling AI agents to interact securely with EHRs, data warehouses, and operational tools.
Execute end-to-end deployments including infrastructure setup, integration testing, and production monitoring to ensure reliable go-lives.
Hippocratic AI is building the world's first healthcare-only, safety-focused LLM to transform patient outcomes at a global scale. Backed by over $400M in funding and a team from leading institutions like Stanford and Google, the company is on a mission to reinvent healthcare with safe AI.
Contribute to high-impact initiatives by bridging backend services (Python/Django) with Unity client systems to deliver player-facing features.
Support live-ops excellence, including incident management, reliability improvements, and service maintenance for a highly engaged player community.
Collaborate with cross-functional teams (Product, Design, QA, Analytics) and facilitate technical discussions to ensure scalable, high-performance architecture.
Scopely is a leading video game and interactive entertainment company, home to iconic mobile games like MONOPOLY GO! and Pokémon GO. Founded in 2011, we are a global team of thousands of game lovers, recognized as the #1 mobile games company in the U.S. with a tenet-driven culture and over $10 billion in lifetime revenue.
Design and build scalable risk detection systems to protect Airbnb's payments platform.
Collaborate with data scientists and product managers to respond to fraud and risk issues.
Build integrations with payment partners and processors to enhance risk systems.
Airbnb is an online marketplace for lodging and travel experiences, connecting hosts with guests globally. The company has grown to over 5 million hosts and 2 billion guest arrivals, fostering a culture of inclusion and belonging.