Responsibilities
- Own the technical roadmap for AI automation across Moderation, Appeals, and Support workflows, driving discovery and prioritization of high-impact AI automation opportunities while providing hands-on technical leadership from concept to production.
- Prototype agentic solutions using the latest platforms and frameworks and integrate them with existing internal and third-party tools and systems.
- Deliver reliable, scalable, and robust automations with the appropriate evaluations, guardrails, human oversight, and clear performance monitoring.
- Drive adoption by producing documentation, running hands-on training and enablement sessions for non-technical operators, and curating prompt libraries and playbooks that empower self-service iteration.
- Collaborate closely with Data Scientists, Data Engineers, Product Managers, Backend Engineers, and the AI Platform Team to ensure a comprehensive and coordinated approach to improving operational efficiency.
- Embed safety, privacy, auditability, and responsible-AI standards into every workflow in partnership with Legal and Security teams.
- Mentor and educate ML Engineers and Platform Engineers on new trends and research in AI/ML that can be applied to Trust & Safety initiatives to promote user safety and improve AI-powered products and workflows.
What We're Looking For
- Agentic & workflow-orchestration expertise: Proven ability to design, build, and operate multi-step LLM agents with modern coordination frameworks.
- Applied AI engineering & prompt craft: Deep Python skills plus hands-on experience integrating foundation models and crafting robust prompts and utilizing vector databases.
- Rapid prototyping & experimentation: Comfortable shipping quick proofs of concept, running A/B or shadow launches, and iterating based on data.
- Backend, data-systems & tool integration: Skilled at wiring external services and internal data into agent workflows through well-designed APIs and schemas.
- Human-in-the-loop system design: Able to blend automation with human oversight through clear escalation paths, review checkpoints, and moderator tooling.
- Operator enablement & training: Talent for translating technical workflows into clear, actionable training for non-technical teams and supporting their day-to-day adoption.
- Working through ambiguity: Proven skill thriving in high-ambiguity, fast-moving environments—prioritizing effectively, adapting plans quickly, and delivering impact amid shifting requirements.
- 7+ years of software or machine-learning engineering experience, with a recent focus on AI-driven automation or agentic systems.
- 2+ years delivering solutions that combine automated decision support with human-in-the-loop review, ideally in Trust & Safety, customer support, or adjacent domains.
- 2+ years designing and tracking operational metrics that demonstrate ROI, accuracy, and user-experience improvements for automated workflows.
- 1+ years of hands-on work prototyping or operating agentic workflows (e.g., MCP, Agentspace, n8n) in real-world or open-source projects.
- A degree in computer science, engineering, or a related field (or equivalent practical experience).
Top Skills
What We Do
In today’s digital world, singles are so focused on sending likes and looking through profiles that they’re not actually building meaningful connections and going on dates. Hinge is on a mission to change that by designing the most effective app experience. We want to create a less lonely world by inspiring intimate, in-person connections. Relationships are at the core of everything we do. And not just the romantic kind. We can't accomplish really hard things alone - so we make great relationships the foundation of our teamwork.
We believe these three core values are what it takes to build those great relationships: Authenticity, we share - never hide - our words, actions, and intentions. Courage, breakthroughs require a willingness to take risks and embrace lofty goals and tough challenges. Empathy, we're all humans first. So we deeply consider the perspectives of others, listen openly, and speak with care.
Why Work With Us
We're mission-driven. While most apps think about boosting sessions and time on app, we think strategically about meaningful end results (dates and relationships).
We're culture-first. We believe in great people over process. Decisions are pushed to the front lines, with feedback and coaching provided by our leaders.
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Hinge Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Hinge believes in the power of in-person connection. We have adopted a hybrid model that allows our people to stay connected to each other in-person.