Machine Learning Engineer (Match Group AI)
Core
Match Group AI is a central technical organization solving core online dating problems (profiles, matching, Trust & Safety) using AI and data-driven approaches to innovate user experience across Tinder, Hinge, and other global brands.
Role type
Machine Learning Engineer (AI/ML Research & Production)
Builds
Production ML models, product features, and AI systems for dating applications
Domain
Online Dating / Social Discovery / AI & Machine Learning
Deliverable
production ML models | product features
Required skills
AI/ML fundamentals, Exploratory Data Analysis (EDA), Python, PyTorch, TensorFlow, JAX, ML model training pipeline construction, deployment, on-device and large-scale model inference optimization, A/B testing, causal analysis, LLM and multimodal model development
Preferred skills
Top-tier AI/ML publication record (NeurIPS, ICLR, ICML, ACL, RecSys, KDD, CVPR), experience improving business metrics via AI, statistical analysis with SQL, cross-functional collaboration (PM, Data, Business), client-side (Android/iOS) and backend development experience
Technologies
Python, PyTorch, TensorFlow, JAX, LLMs, Multimodal models, AWS, DGX (H100 GPUs)
Responsibilities
Redefine business problems as AI/ML problems and solve them; Develop new product features from ideation to user deployment; Handle diverse data modalities (text, image, logs) and resolve bias/noise; Define evaluation metrics aligned with product goals; Optimize models for on-device and large-scale inference; Validate impact through online experiments and causal analysis
Seniority
Mid-to-Senior, hands-on IC