About Hinge
Hinge is the dating app designed to be deleted. 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. On Hinge, there are no rules, timers, or games. Instead, you’ll have unique conversations over the text, photos, and audio you’ve shared on your profile. And it’s resonating with daters. Hinge was the fastest-growing dating app in the US, UK, Canada, and Australia in 2019 and 2020.
Role Overview
As the Director of AI Platform Engineering at Hinge, you will lead and expand our Artificial Intelligence (AI) Platform team. This team is the backbone of our AI and Machine Learning (ML) operations, providing the essential infrastructure and tools that empower our Data Scientists and ML Engineers to efficiently build, test, and deploy models. You will make a meaningful difference in Hinge users' lives by driving the technology that brings them together.
Responsibilities
- Set and drive the vision, goals, strategy, and roadmap to build out our AI Platform infrastructure and accelerate the delivery of models to production.
- Ensure engineering outcomes meet or exceed established standards of excellence in code quality, system design, scalability, and reliability.
- Manage, hire, and scale a high-functioning team of engineers.
- Participate in technical design discussions.
- Collaborate closely with ML Engineers, Data Scientists, and Product Managers to understand their needs, translate their needs into customer problems, and work with the team to identify and prioritize opportunities to accelerate the AI/ML development and deployment process.
- Partner with other Engineering disciplines to integrate the AI/ML workflow into Hinge’s stack.
- Define and develop best practices and processes to support efficient team operations.
- Engage in hands-on work and software delivery while building out the team.
What We're Looking For
- 10+ years of experience as an ML, backend, data, or platform engineer, with 4+ years of experience in ML/AI.
- 3+ years of engineering management experience ideally in an AI platform role.
- Expertise in building and supporting ML ops and data infrastructure.
- Comfort with cloud native infrastructure.
- Demonstrated technical leadership experience in aligning platform strategy with product and business objectives.
- Demonstrated ability to drive execution to exceed business objectives.
- Passion for developing, coaching, and scaling direct reports.
- Effective communication with individuals from diverse technical and non-technical backgrounds.
- Strong ability to lead and evaluate build vs buy trade offs.
- Nice to have: Previous experience with AWS, Argo, Kafka, Kubenetes, Terraform, Databricks, Flink, Ray, or other ML Ops tooling.
Benefits Extracted with AI
- 401(k) matching up to $10,000 per year
- $3,000 annual Learning & Development stipend
- 100% paid parental leave (20 weeks)
- $10,000 towards fertility preservation
- $100 monthly date stipend
- Free Hinge Premium for employees
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