Senior Machine Learning Engineer, Growth
Hinge is the dating app designed to be deleted
In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With tens of millions of users across the globe, we’ve become the most trusted way to find a relationship, for all.
About the Role
:
We are hiring a Senior Machine Learning Engineer to support our User Growth and Monetization teams by using the latest advances in machine learning and AI to build deeply personalized user experiences that drive business growth and meet individual needs and preferences. By targeting the right users with the right products at the right time, we empower product teams to drive meaningful growth in revenue and user engagement while enhancing user satisfaction.
The Growth Product Group is responsible for the development of paid features to accelerate dating outcomes, driving engagement throughout a user’s lifecycle and making Hinge the dating destination for all communities. You can expect to work on a broad range of problems, from identifying how to send the right message to the right user at the right time to optimizing the efficacy of our paid offerings. This is a fast growing team, and you will help define the vision and strategy that drives meaningful growth and accelerates machine learning at Hinge.
Responsibilities:
- Develop and deploy user targeting models that will help drive engagement and influence user behavior to improve dating outcomes
- Improve user adoption of and engagement with paid features through optimizations and improving the paid value proposition
- 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
- 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: Experience training and deploying large scale ML models. Good understanding of distributed computing for learning and inference.
- 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..
- 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.
- 4+ years of experience, depending on education, as an MLE. Previous experience in User Growth or Monetization is preferred.
- 2+ years of experience designing and developing production grade ML systems.
- 2+ years of experience working on a cloud environment such as GCP, AWS, Azure
- 1+ year of experience leading projects with at least 1 other team member through completion.
- A degree in computer science, engineering, or a related field.
Salary Range
$204,000.00 - $245,000.00 per year salary
Diversity inspires innovation.
Hinge is an equal opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe success is created by a diverse workforce of individuals with different ideas, strengths, interests, and cultural backgrounds.
Diversity inspires innovation.
Hinge is an equal opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe success is created by a diverse workforce of individuals with different ideas, strengths, interests, and cultural backgrounds.
We're having open and honest conversations about things that are going well and not going well, like celebrating a hard-earned win or sharing our struggles.
Eyan Yeung
Senior Data Scientist
Do your best work, live your best life
A call to get to know each other.
Transparency, candor and humility allow us to focus on delivering outstanding results without getting distracted by ego, gossip or politics.
The skills interview.
Breakthroughs require our willingness to take risks. We strive toward audacious goals, expecting and persevering through setbacks and failures along the way.
The narrative interview.
We remember we’re all human beings first. We keep in mind who we’re serving. We listen humbly and openly. We speak and act with kindness and care. We practice radical inclusion.
The culture interview.
We remember we’re all human beings first. We keep in mind who we’re serving. We listen humbly and openly. We speak and act with kindness and care. We practice radical inclusion.
Making an offer.
We remember we’re all human beings first. We keep in mind who we’re serving. We listen humbly and openly. We speak and act with kindness and care. We practice radical inclusion.
What you’ll love about our New York office.
We believe in the power of in-person connection. For full-time and hybrid employees, Hinge HQ is a place to collaborate and get to know each other.
Catered Lunches
Commuter Benefits
All-Gender Restrooms
Nursing & Wellness Rooms
Do you think we’d click?
If you’re passionate about inspiring intimate connections, join us.
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Apply for this roleDiversity inspires innovation.
Hinge is an equal opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe success is created by a diverse workforce of individuals with different ideas, strengths, interests, and cultural backgrounds.