How you’ll make an impact
Design, implement and maintain ML pipelines and CI/CD workflows (training, deployment, retraining)
Expose ML models through inference APIs (Cloud Run / Vertex AI Endpoints) to be consumed by product and platform services
Own monitoring, alerting and reliability of ML systems in production
Write optimized, high-performance, scalable, testable, maintainable, and observable code
Ensure operational readiness of ML models (logging, metrics, incident handling)
Act as a local ML Ops reference for the Paris Data Science team
Support DS teams to industrialize models and experiments
Collaboration
Work in an international, multi-brand environment with teams across Europe, Canada, and the US
Collaborate with platform teams (Canada/US) on GCP infrastructure and standards
Work closely with Product squads of E&E brands to understand and address their needs
Collaborate with Data Engineers and software architect to ensure data quality and production deployment of models
Promote a data-driven culture in a highly collaborative environment and share your expertise
Technology watch
We could be a match if
You hold an engineering degree or a Master’s degree in mathematics or computer science, with at least 5–6 years of experience in similar roles
You enjoy discovering scientific methods and challenging existing ones, always keeping in mind the ultimate goal of improving the performance of our dating application
Experience with ML / DevOps practices
Experience with CI/CD, Docker, Terraform
Experience with monitoring & alerting (Cloud Monitoring, Grafana, etc.)
Understanding of IAM, service accounts, security
Comfortable operating ML systems in production
Strong understanding of model serving constraints
Comfortable communicating in English during meetings
Excellent analytical and synthesis skills
Excellent written and verbal communication skills
Rigorous scientific mindset
Team spirit and proactive attitude
Curiosity and strong learning ability
Nice to have
Experience working with Kafka or event-driven architectures in ML or data platforms
Knowledge in A/B test framework
Knowledge in QlikView, Looker, or other BI tools
Skills Required
- Engineering degree or Master's degree in mathematics or computer science
- 5-6 years of experience in similar roles
- Experience with ML / DevOps practices
- Experience with CI/CD, Docker, Terraform
- Experience with monitoring & alerting tools
- Strong understanding of model serving constraints
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.
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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.
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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.
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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.
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