Responsibilities:
- Lead the end-to-end development of production-grade ML systems such as user targeting models that will help drive engagement, improve dating outcomes and/or improve user adoption of and engagement with paid features
- Define and own the technical roadmap for ML within your product area and align with company-wide priorities
- Collaborate closely with ML Engineers, Data Scientists, and Product Managers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process
- Design, advocate, and implement for availability, scalability, operational excellence, and cost management while delivering impact to our daters incrementally
- Keep abreast of and bring to Hinge applicable cutting-edge research, technologies, and best practices in the ML/AI space.
- Mentor and educate ML Engineers on current and up and coming research, technologies and best practices of doing ML at scale.
- Ensure the ethical and responsible use of ML/AI and compliance with privacy regulations to protect user data
- Communicate effectively to audiences of various technical and non-technical backgrounds
What We're Looking For:
- Strong programming skills: Proficiency in Python and ML libraries such as PyTorch
- Domain expertise: Deep understanding of machine learning, deep learning, and emerging AI technologies. Proven track record of building, debugging, and fine-tuning machine learning for user facing products. Experience with causal inference, uplift modeling, and interventional data collection is a plus.
- System design & architecture: Strong background in setting up and optimizing ML infrastructure, including containerization (Docker), orchestration (Kubernetes), and CI/CD workflows for ML (e.g., model versioning, automated testing).
- Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with ML serving solutions like Ray, KubeFlow, or Weights & Biases is a plus.
- Data engineering knowledge: Skills in handling and managing large datasets including data cleaning, preprocessing, and storage. Good understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow.
- Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds..
- Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes.
- 5+ years of experience, depending on education, as an MLE, with at least 2 years in a senior or staff-level role
- Previous experience in User Growth or Monetization
- 3+ years of experience designing and developing end-to-end, production grade ML systems
- 4+ years of experience working in a cloud environment such as GCP, AWS, Azure
- 3+ years of experience leading projects with at least 1 other team member through completion.
- A degree in computer science, engineering, or a related field or equivalent 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.
Gallery






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.