Description
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:
The Growth Product Group is responsible for making Hinge the dating destination for all communities, driving engagement throughout a user’s lifecycle, and the development of paid features to accelerate dating outcomes. We are hiring a Senior Machine Learning Engineer to support our User Growth and Monetization teams in building the foundations of an AI-first experience using the latest advances in causal inference and machine learning. You can expect to work on a broad range of user 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 roadmap for improving the dater experience.
Responsibilities:
- Develop and deploy targeting and timing models that underlie a smart notifications system that guides and influences user behavior to improve dating outcomes.
- Improve user engagement with notifications by optimizing for relevancy and personalizing for responsiveness.
- Design, advocate, and implement for availability, scalability, operational excellence, and cost management while delivering impact to our daters.
- Keep abreast of and bring to Hinge applicable cutting-edge research, technologies, and best practices in the ML/AI space.
- 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:
- Proficiency in languages like Python, Java, or C++
- Domain expertise: Deep understanding of machine learning model architectures, DNN experience a big plus. Proven track record of building, debugging, and fine-tuning machine learning models for user facing products.
- System design & architecture: Experience training and deploying large scale ML models especially DNNs. 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 Ray, KubeFlow, or Weights & Biases is a plus.
- Data engineering knowledge: Skills in handling and managing large datasets including data cleaning, preprocessing, and storage. Deep 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 as an MLE, previous experience in User Growth or Monetization is preferred.
- 2+ years of experience working on a cloud environment such as GCP, AWS, or Azure.
- 2+ years of experience designing and developing online and production grade ML systems.
- A degree in computer science, engineering, or a related field, or equivalent experience.
As a member of our team, you’ll enjoy:
401(k) Matching: We match 100% of the first 10% of pre-tax 401(k) contributions you make, up to a maximum of $10,000 per year.
Professional Growth: Get a $3,000 annual Learning & Development stipend once you’ve been with us for three months. You also get free access to Udemy, an online learning and teaching marketplace with over 6000 courses, starting your first day.
Parental Leave & Planning: When you become a new parent, you’re eligible for 100% paid parental leave (20 paid weeks for both birth and non-birth parents.)
Fertility Support: You’ll get easy access to fertility care through Carrot, from basic treatments to fertility preservation. We also provide $10,000 toward fertility preservation. You and your spouse/domestic partner are both eligible.
Date Stipend: All Hinge employees receive a $100 monthly stipend for epic dates– Romantic or otherwise. Hinge Premium is also free for employees and their loved ones.
ERGs: We have eight Employee Resource Groups (ERGs)—Asian, Unapologetic, Disability, LGBTQIA+, Vibras, Women/Nonbinary, Parents, and Remote—that hold regular meetings, host events, and provide dedicated support to the organization & its community.
At Hinge, our core values are…
Authenticity: We share, never hide, our words, actions and intentions.
Courage: We embrace lofty goals and tough challenges.
Empathy: We deeply consider the perspective of others.
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.
If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please let your Talent Acquisition partner know. Note: We will only respond to inquiries regarding accommodations and if you have any questions about your job application, please reach out to your Talent Acquisition Partner directly.
Other Jobs from Match Group
Engineering Manager
Paris, France
Remote Hybrid
Senior Data Engineer, Product Platform
New York, NY
Remote Hybrid
Data Scientist II
San Francisco, CA
Palo Alto, CA
Web Frontend Software Engineer
Seoul, South Korea
Remote Hybrid
Staff Product Manager, Machine Learning and Recommendations
San Francisco, CA
Remote Hybrid
Similar Jobs
Sr Data Engineer, SMAI
Hyderabad, India
Lead Data Analyst
Gurugram, India
AI Platform Software Engineer
New York, NY
US
Conversion US P2 Data Developer
Toronto, Ontario
Montreal, Canada
Senior Software Engineer - Kafka Storage Team
Denver, CO
Austin, TX
There are more than 50,000 engineering jobs:
Subscribe to membership and unlock all jobs
Engineering Jobs
60,000+ jobs from 4,500+ well-funded companies
Updated Daily
New jobs are added every day as companies post them
Refined Search
Use filters like skill, location, etc to narrow results
Become a member
🥳🥳🥳 401 happy customers and counting...
Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.
To try it out
For active job seekers
For those who are passive looking
Cancel anytime
Frequently Asked Questions
- We prioritize job seekers as our customers, unlike bigger job sites, by charging a small fee to provide them with curated access to the best companies and up-to-date jobs. This focus allows us to deliver a more personalized and effective job search experience.
- We've got about 70,000 jobs from 5,000 vetted companies. No fake or sleazy jobs here!
- We aggregate jobs from 5,000+ companies' career pages, so you can be sure that you're getting the most up-to-date and relevant jobs.
- We're the only job board *for* software engineers, *by* software engineers… in case you needed a reminder! We add thousands of new jobs daily and offer powerful search filters just for you. 🛠️
- Every single hour! We add 2,000-3,000 new jobs daily, so you'll always have fresh opportunities. 🚀
- Typically, job searches take 3-6 months. EchoJobs helps you spend more time applying and less time hunting. 🎯
- Check daily! We're always updating with new jobs. Set up job alerts for even quicker access. 📅
What Fellow Engineers Say