Match Group is a leading provider of dating products across the globe. Our portfolio includes Tinder, Hinge, Match, Meetic, PlentyOfFish, OkCupid, The League, HER, and others, each designed to spark meaningful connections for singles worldwide. Creating a sense of belonging doesn’t stop at our products - it’s the foundation of every team we hire.
Everyone and Everywhere (E&E) is one of the world's leading online dating groups, comprising a large and prestigious dating portfolio (OkCupid, Match.com, Meetic, PlentyOfFish, Affinity, …)with millions of daily active members. We are based in Vancouver with a strong worldwide collaboration with other brands within the Match Group (NASDAQ: MTCH) such as Tinder and
Hinge.
As a Senior Machine Learning Engineer, you will work as part of our ML/AI Squad, working across the organization on strategic and challenging projects to support E&E companies to achieve their business objectives. Working alongside Data Scientists, Data Engineers, BI Architects, and Product Managers, you will lead the next generation of ML/AI agent and Agentic-based solutions that will have a direct positive impact on our millions of daily users. Additionally, you will be solving complex problems that keep us awake at night, such as how to keep winning the war on Fraud, how to improve our matching algorithms and search, and how to get a fundamental understanding of what makes our users happy and successful.
How you’ll make an impact:
Explore, design, and build AI prototypes capable of significantly altering our users’ experiences
Work in close collaboration with Product Owner (Product Manager, Stakeholders) and Data Scientists to capture product requirements and design ML/AI based solutions, build and deliver in production ML/AI solutions, test new algorithms, provide feedback on their performance, accuracy, and scalability, and alsoalso suggest alternatives.
Contributing to LLM-based initiatives to support business growth and dating user experience
Write optimized code that is performant, scalable, testable, maintainable, and observable
Design scalable solutions to productionize machine learning models
Develop tools and pipelines for tracking models and experiments
Design and implement data pipelines that ingest vast amounts of real-time data to power models and generate accurate results
Manage ML models/Agent lifecycle, including versioning, training, retraining, deploying, and monitoring
Be responsible for maintaining and operating algorithms, code, and models in production and monitor models in production to make sure that they are functioning and report on any anomalies
Research/Investigate tools and technologies that would enable us to build and release faster
Lay out best practices for the ML engineering functional role
Evangelize a data-driven culture and participate in a highly collaborative environment. We want you to share your expertise!
We may be a Match if:
B.S., M.S or PhD in computer science (or a scientific discipline coupled with substantial engineering experience)
Minimum of 5+ years post-graduation experience as a Machine Learning Engineer, Software Engineer with algorithm experience, Data Scientist, or similar.
Minimum of 3+ years of experience building and productionalizing ML pipelines and solutions within a commercial application in collaboration with a product owner and deploying and operating LLM solutions to support business feature development
Minimum of 3+ years of experience supporting Data Scientists in the development and evaluation of ML models and their productionalization
Significant experience in cutting-edge deep learning techniques and associated tools (such as PyTorch/Tensorflow)
Excellent programming skills with a history of deployment to production, and you have a proven track record of scaling and productionizing machine learning solutions and models
Solid understanding of mathematical modeling and statistics: inference, Bayesian methods, graphical models, network theory, likelihood estimation, Monte-Carlo methods, and sampling theory
Understanding of how to optimize machine learning models (parallelization, batching techniques, etc)
Ability to rapidly acquire and adopt new knowledge and techniques but also thinks creatively about problems and is not afraid to go “outside the box”
Proficient with standard SQL and relational databases
Familiarity with Python and associated data science/machine learning packages
Comfortable working independently on large projects (demonstrated via industry or academic experience) or as part of a diverse team of different skills as necessary
Ability to see the “big picture” and how your work relates to E&E’s entire business - and the ability to prioritize your research work accordingly
Experience with GCP or other cloud providers
- Generous vacation, flex days, professional development days
- RRSP matching, and employee stock purchase plan
- Professional development budget and unlimited access to Udemy from day one
- Match Group mentorship program
- Parental leave top up and fertility preservation benefits
- Extended health & dental benefits from day one
- Corporate ClassPass membership and other wellness benefits
Skills Required
- B.S., M.S., or PhD in Computer Science or a scientific discipline
- Minimum 5+ years post-graduation experience as a Machine Learning Engineer, Software Engineer with algorithm experience, Data Scientist, or similar
- Minimum 3+ years building and productionalizing ML pipelines and deploying and operating LLM solutions
- Minimum 3+ years supporting Data Scientists in model development, evaluation, and productionalization
- Significant experience with deep learning techniques and tools (PyTorch, TensorFlow)
- Proven history of writing production-grade, scalable, maintainable code and deploying models to production
- Solid understanding of mathematical modeling and statistics (inference, Bayesian methods, sampling, Monte-Carlo methods)
- Understanding of ML optimization techniques (parallelization, batching)
- Proficient with standard SQL and relational databases
- Familiarity with Python and associated data science / machine learning packages
- Experience with GCP or other cloud providers
- Ability to rapidly learn new techniques and work collaboratively across functions
- Experience designing data pipelines and model lifecycle tooling (versioning, monitoring, retraining)
Match Group Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Match Group and has not been reviewed or approved by Match Group.
-
Retirement Support — Employer matching on retirement savings and access to an employee stock purchase program are highlighted as standout elements. Feedback suggests this creates strong long-term financial support as part of total rewards.
-
Parental & Family Support — Fully paid parental leave, fertility and family-forming support, and childcare resources are emphasized across materials. Feedback suggests these benefits meaningfully support different family needs.
-
Leave & Time Off Breadth — Generous PTO, numerous paid holidays, wellness and volunteer time, and other special leave options are consistently described. Feedback suggests the breadth of time-off options helps sustain work-life balance.
Match Group Insights
What We Do
Match Group is home to some of the world’s most popular dating and social discovery apps, including Tinder, Hinge, Match, and more. Match Group’s mission is to spark meaningful connections for every single person worldwide. Our diverse portfolio of apps enables connections across a diverse range of ages, genders, backgrounds, and dating goals. Our services are available in over 40 languages to users all over the world.
Why Work With Us
Match Group is united by a mission to help people find meaningful connections and fight loneliness. We’re not just building products. We’re creating friendships, marriages, and families around the world. Our culture is fueled by purpose, creativity, and a passion for what we can build together.
Gallery
