Senior Software Engineer, Tinder
Machine Learning
$180-220k
+ Employee Stock Purchase Plan
2 days a week in office (Palo Alto, CA)
Swipe-based dating app
Open for applications
Swipe-based dating app
501-1000 employees
Open for applications
$180-220k
+ Employee Stock Purchase Plan
2 days a week in office (Palo Alto, CA)
501-1000 employees
Company mission
To power and inspire realconnectionsby making meeting easy and fun for every new generation of singles.
Role
Who you are
- PhD or MS in machine learning, computer science, statistics, or another highly quantitative field
- Hands-on experience in designing and building large-scale recommendation systems
- In-depth knowledge of deep neural networks, particularly in the recommendations domain
- Proficiency in deep learning frameworks such as TensorFlow, Keras, etc.Proficiency in Python, Java, Scala, or similar programming languages
- At least 5 years of professional experience in relevant fields
Desirable
- Experience with causal inference and reinforcement learning
- Experience with solving machine learning problems in multi-sided marketplaces
- Experience with big data frameworks such as Spark
- Demonstrable experience in designing and implementing large-scale ML systems with low latency serving
- A strong record of publications in top conferences such as NeurIPS, ICML, and KDD
- A deep understanding of the scientific theory behind machine learning techniques
What the job involves
- Our ML team is responsible for the development of machine learning algorithms and systems for recommendations at Tinder
- Recommendation algorithms directly determine potential matches on Tinder and optimize the entire ecosystem to drive critical business metrics
- You'll have a unique opportunity to join a company with a global footprint while working on a team that’s small enough for you to feel the impact each day
- Apply state-of-the-art machine learning techniques, including deep learning, reinforcement learning, causal inference, and optimization, to enhance our foundational recommendation models
- Leverage your expertise to deliver highly personalized and curated recommendations tailored to our users' preferences
- Develop algorithms that optimize our complex ecosystem to meet multiple disparate objectives
- Design and implement cutting-edge machine learning algorithms using deep learning frameworks and distributed data processing frameworks such as Spark
- Work with big data (handling 1.6B+ user swipes per day) to improve the accuracy and relevance of recommendations
- Collaborate with other machine learning engineers, backend software engineers, and product managers to integrate ML models into our systems, improving user experience and driving business objectives
Our take
In today's society, online communication is rapidly replacing face-to-face interaction across various aspects of life, including professional, platonic, and even romantic relationships. Dating apps like Tinder, with their quick sing-ups and swipe-based interface, have revolutionized the way people connect.
Tinder's innovative approach has significantly reduced the social stigma associated with online dating. This, coupled with the global rise of smartphones, has created a strong tailwind for the app. However, Tinder faces new challenges from competitors like Hinge, Bumble, and Thursday, who all capitalize on similar "swipe-based" mechanics, potentially attracting users away from the platform.
To address this, Tinder is actively seeking ways to reinvent its core product. The company is exploring the development of "Tinderverse", a shared virtual reality experience. Additionally, it is testing "Tinder Coins", an in-app currency earned through positive user behavior, allowing access to premium features. These initiatives demonstrate Tinder's commitment to remaining at the forefront of the ever-evolving online dating landscape.
Steph
Company Specialist at Welcome to the Jungle
Insights
Some candidates hear
back within 2 weeks
42% female employees
-8% employee growth in 12 months
Company
Company benefits
- Mind & Body: Take care of yourself with benefits to keep you physically and mentally healthy.
- Company Perks: As winners of Comparably’s 2022 Best Company Perks and Benefits Award, we’re proud to say we provide perks that make a difference
- Life @ Tinder: We support each other— from informal check-ins to snacks + catered lunches at HQ to the flexibility to take time off when you need it
Company values
- We prioritize member safety: At Tinder, our top priority is to build an authentic, equitable, and respectful community
- We strive to build a workplace that reflects the rich diversity of our members: The best thing about Tinder is that it caters to lots of differnt people and many different types of interactions
- We encourage authenticity to nurture a trustworthy, collaborative environment: We're honest and open in all we do. Our humanity inspires us to be real with one another and to stay true to who we are, so we can feel confident interacting and collaborating with others
- We never stand still. We're inspired to build for what's next: We must constantly innovate, experiment, and learn. We strive to set a higher standard for our products, our teams, and ourselves. We eagerly seek, accept, and give feedback with cando and kindness so we can continue to grow personally and professionally
- We champion and rally behind big ideas: We empower people to think and act differently, and to be unafraid to have a strong point of view. We’re willing to risk being wrong so that we can figure out what’s right. If we aren’t creating things that make us a little bit uncomfortable, then we likely won’t make a dent in the universe
Company HQ
Sunset Strip, West Hollywood, CA
Articles
Leadership
Jonathan Badeen
(Co-Founder)Previously Director of Design at Casting Networks before starting Tinder in 2012. Served as the Chief Strategy Officer at Tinder from 2016 to 2022.
Sean Rad
(Co-Founder)Received an honorary degree from the University of Southern California Marshall School of Business. Founder of Rad Fund.
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