Senior Machine Learning Platform Engineer, Hinge
$177.5-213k
Dating app for meaningful relationships
Open for applications
Dating app for meaningful relationships
201-500 employees
Open for applications
$177.5-213k
201-500 employees
Company mission
To help singles build meaningful relationships by connecting in person, helping people to get off dating apps.
Role
Who you are
- 3+ years of experience, depending on education, as an ML, backend, data, or platform engineer developing and working with large scale, complex systems
- 2+ years of experience working on a cloud environment such as GCP, AWS, Azure, and with dev-ops tooling such as Kubernetes
- 1+ year of experience leading projects with at least 1 other team member through completion
- 1+ year of experience for Senior designing and developing online and production grade ML systems
- A degree in computer science, engineering, or a related field
- Strong programming skills: Proficiency in languages like Python, Go, or Java
- System design & architecture: Ability to design scalable and efficient ML systems
- Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure
- ML knowledge: A basic understanding of ML algorithms, techniques, and best practices
- Data engineering knowledge: Skills in handling and managing large datasets including, data cleaning, preprocessing, and storage
- 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.
- Strong written communication: The ability to communicate complex ideas and technical knowledge through documentation
- Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes
What the job involves
- With a mission to democratize AI for Hinge, ensuring it remains easily accessible, robust, scalable, cost-efficient, and trusted you'll collaborate across our product and engineering teams, as well as with external stakeholders
- You will meet our internal customers where they are and optimize towards their needs by delivering value incrementally and coupled to their problems
- Being part of a small yet impactful team means having a broad scope of responsibility, and as ML is still in its early stages at Hinge, this role provides a chance to grow as a leader by mentoring others across the company
- Own or contribute to technical designs for the feature platform, training platform, serving platform, and underlying operational infrastructure that provides incremental delivery and impact
- Develop, maintain, and enhance reusable frameworks for AI/ML model development and deployment while establishing and driving best practices in machine learning engineering and MLOps
- Design, advocate, and implement for availability, scalability, operational excellence, and cost management while delivering incrementally
- 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
- Mentor and educate ML Engineers and Data Scientists on current and up and coming tools and technologies for ML operations through presentations and documentation
- Help design and architect an AI platform that adheres to the principles of responsible AI and simplifies privacy compliance
- Lead build vs buy discussions on technologies that would underpin the feature, training, and serving layers
Our take
Hinge is a dating app that sets itself apart from its competitors by focusing on relationships over hookups. It predominantly caters to people looking for long-term commitments. It has abandoned the “swipe” approach that’s often associated with game-like dating apps, such as Tinder, and instead it focuses on in-depth profiles and compatibility recommendations to help users better connect with each other.
In 2019, 50% of single people in the US had never used a dating app. Now, online dating has become part of the new normal, and Hinge’s focus on long-term, meaningful relationships is well-positioned to tap into the current desire for companionship and stability, as well as the growing market trend toward online dating.
The "dating app designed to be deleted" is the fastest-growing dating app on the market and is seeing further success following new capability expansions and acquisition by dating app portfolio Match Group in 2019. All this being said, there is growing concern over fake accounts and fraudulent activity on Hinge, as there is with other competing dating apps. Pricing tiers and more robust regulations for profiles are currently combatting this.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
Dec 2014
$12m
SERIES A
Jul 2014
$4.5m
CONVERTIBLE
Total funding: $20.6m
Company benefits
- Equal opportunity employer
- 401k plan
- Accrual time off model
- Stocked kitchen
- Monthly date stipend
- Pet friendly
- Work from home opportunities
- Health insurance
Company values
- Authenticity - Share your genuine thoughts and opinions directly
- Courage - Invite and deeply consider challenges and criticism
- Empathy - Be empathetic, communitarian and trustworthy
Company HQ
West Village, New York, NY
Articles
Leadership
Justin McLeod
(CEO)Having studied at Colgate University and Harvard Business School, Justin founded Hinge in February 2011. He has served as CEO since.
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