Machine Learning Engineer, Hinge
$164-198k
Dating app for meaningful relationships
Open for applications
Dating app for meaningful relationships
201-500 employees
Open for applications
$164-198k
201-500 employees
Company mission
To create a less lonely world by inspiring intimate, in-person connections.
Role
Who you are
- Strong programming skills: Proficiency in languages like Python, Java or C++
- System design & architecture: Proven track record of training and deploying large scale ML models specially 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 ML serving solutions like Ray, KubeFlow or W&B is a plus
- ML knowledge: Deep understanding of DNN architectures, track record of building, debugging and fine tuning models. Familiarity with PyTorch, TF, knowledge distillation, recommender systems are a plus
- Dev-ops skills: The ability to establish, manage, and use data and compute infrastructure such as Kubenetes and Terraform
- 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
- 3+ years of experience, depending on education, as an MLE
- 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
- 2+ years of experience for designing and developing online and production grade ML systems
- A degree in computer science, engineering, or a related field
What the job involves
- We are hiring senior/staff ML practitioners to help us build the foundations of an AI first dating experience using the latest advancements in the field leveraging Hinge’s years worth of preference data
- You can expect to work on recommendation systems end to end, experiment with using LLMs, photo and mixed input embedding models as well as building and deploying real time predictive models that directly impact millions of users' experience
- This is a fast-growing team and you will get a chance to own and define the strategy, vision, and plan for how to accelerate machine learning at Hinge
- Own and contribute to foundational models (e.g. CLIP embeddings) that powers our recommendations pipelines
- Contribute to the research and development of recommender models as well experiment with the latest ML innovations (e.g. LLM agents and transcription models)
- Design, advocate, and implement for availability, scalability, operational excellence, and cost management while delivering impact to our daters 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 on current and up and coming research, technologies and best practices of doing ML at scale
- Perform other job-related duties as assigned
Our take
Hinge is a dating app that stands out by prioritizing meaningful relationships over casual hookups. Designed for people seeking long-term commitments, it moves away from the typical "swipe" approach popularized by apps like Tinder. Instead, Hinge emphasized detailed profiles and compatibility-based recommendations so used can make deeper, more genuine connections.
Back in 2019, half of single people in the US had never tried a dating app. Fast forward to today, and online dating is just part of the norm. Hinge has carved out its place in this market by focusing on long-term meaningful relationships, and is certainly meeting the growing demand for companionship while riding the wave of the online dating trend.
The "dating app designed to be deleted" is the fastest-growing dating app on the market and with online dating becoming the mainstream, Hinge looks pretty set to stay at the top.
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
- Hybrid and Remote Work: If you're hybrid, you'll come in three times a week. We host our biweekly All-Hands meetings on Wednesdays (often with sweet treats).
- Dating: Experience what our users experience. All US-based Hinge employees receive a $100 monthly stipend for epic dates. Hinge Premium is also free for all employees and their loved ones.
- Retirement Benefits: We match 100% of the first 10% of pre-tax 401(k) contributions you make, up to a maximum of $10,000 per year.
- Health Insurance: high-quality medical, dental, and vision coverage for you and your family.
- Paid Time Off: 20 accruable vacation days annually. Plus 1 floating holiday, 10 wellness days, 1 community service day, and a generous company holiday calendar. PTO increases with tenure after 2 years with the company.
- 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). We also subsidize fertility care and preservation services.
- Wellness: We subsidize OneMedical, ClassPass, and CitiBike memberships. You and your dependents also have access to individual therapy, group therapy, and coaching services through Modern Health.
- Professional Growth: receive a $3,000 annual Learning & Development stipend after three months, along with free access to Udemy, an online marketplace with over 6,000 courses, starting on your first day.
- Meals: Receive a $30 weekly Seamless credit. In the NYC office, we offer plenty of options for snacks and drinks. Plus, free catered lunches in the office Tuesday through Thursday. In-office lunch varies by location.
- Community Service: We match charitable donations dollar for dollar to a maximum of $15,000 per employee, and give every US-based employee 1 day off for community service annually.
- Commuting: Every US-based hybrid employee gets a $125 monthly commuter subsidy to use for public transportation, parking, bike maintenance and storage, and more.
- Pets: Feel free to bring your best friend to work with you to the NYC office. For US-based employees, we’ll provide pet insurance for your furry family members, too.
- Legal Coverage: You’ll receive low cost access to legal coverage that covers custody and support matters, divorce, real estate and home ownership, tenancy issues, tax issues, wills and estate planning, and more.
- 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.
Company HQ
West Village, New York, NY
Leadership
Justin McLeod
(Founder & 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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