Senior Machine Learning Engineer, Hinge
Trust & Safety
$204-245k
Dating app for meaningful relationships
Be an early applicant
Dating app for meaningful relationships
201-500 employees
Be an early applicant
$204-245k
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
- Strong programming skills: Proficiency in languages like Python, Java or C++ and SQL, proficiency in at least one ML stack (e.g., PyTorch), and strong understanding of data pipelines
- Domain expertise: Deep understanding of machine learning, deep learning, and emerging AI technologies
- Proven track record of building, debugging, and fine-tuning real-time machine learning models for user facing products. Experience with applying expertise to fraud detection, content moderation, or related fields is a plus
- System design & architecture: Experience training and deploying large scale ML models. Good understanding of distributed computing for learning and inference
- Evaluation frameworks for LLMs: Experience designing robust testing protocols to ensure effectiveness, fairness, and safety of AI-driven features
- Cloud and data platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with solutions like Databricks, Ray, or KubeFlow 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
- Strategic technical leadership skills: Demonstrated track record of guiding teams through complex ML projects in alignment with product and business objectives
- 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
- 4+ years of experience, depending on education, as an MLE or data scientist. Previous experience working in Trust & Safety or related fields (e.g., fraud detection, content moderation, compliance) is preferred
- 2+ years of experience in applying end-to-end machine learning models, including data collection, model training, deployment, and monitoring in an industry setting
- 1+ years of experience integrating LLMs in real-world applications with the appropriate baseline metrics and evaluation methodologies
- 1+ years of experience utilizing ML infrastructure components such as a feature store, model training environment, model serving environment, observability, workflow orchestrator, etc
- A degree in computer science, engineering, or a related field (or equivalent practical experience)
What the job involves
- Join Hinge as a Senior Machine Learning Engineer, where you'll lead the application of AI and machine learning to effectively mitigate the impact of bad actors, remove policy violating content, and ensure user safety on the platform
- Working closely with an expanding Trust & Safety team, you will collaborate with product managers, data scientists, engineers, and analysts to develop impactful AI/ML solutions
- In this high-impact position within a small, dynamic team, you'll have the opportunity to play a foundational role in shaping how Hinge utilizes AI and machine learning in various contexts
- Your expertise will be instrumental in creating a safer and more meaningful user experience on their journey to find intimate connection
- Develop, deploy, and maintain end-to-end machine learning models to identify and mitigate bad actors, remove policy-violating content, and ensure user safety
- Design and implement scalable systems (e.g., using Spark, Kubernetes) to preprocess data, run inference, and manage post-processing pipelines
- Define standardized performance metrics, testing protocols, and evaluation processes to measure the effectiveness, identify and mitigate potential risks, and ensure fairness of AI solutions
- Ensure ongoing assessment and refinement of AI solutions, incorporating user feedback, business impact, and emerging ethical considerations
- Collaborate closely with Data Scientists, Data Engineers, Product Managers, Backend Engineers, and the AI Platform Team to ensure a comprehensive and coordinated approach to user safety
- Stay abreast of new trends and research in AI/ML that can be applied to Trust & Safety initiatives to improve detection, user safety, and stay ahead of potential threats
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
48% employee growth in 12 months
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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