Senior ML Engineer
Updated on 2/13/2024
Match Group

1,001-5,000 employees

Global online dating platform with diverse brands
Company Overview
Match Group, with its 25-year history, has consistently demonstrated industry leadership by pioneering the concept of online dating and introducing technology-driven features like the Swipe feature® and social discovery. The company's commitment to diversity, safety, and privacy, as well as its efforts to make tech connections more inclusive, sets it apart in the industry. With over 750 million downloads of its apps and its products contributing to over 40% of all online-started relationships in the U.S., Match Group's influence and reach are undeniable.
Consumer Software

Company Stage

N/A

Total Funding

$400M

Founded

1986

Headquarters

Dallas, Texas

Growth & Insights
Headcount

6 month growth

3%

1 year growth

17%

2 year growth

22%
Locations
New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Kubernetes
Microsoft Azure
Python
Airflow
Pytorch
Java
AWS
Google Cloud Platform
CategoriesNew
AI & Machine Learning
Software Engineering
Requirements
  • Strong programming skills in Python, Java, or C++
  • Proven track record of training and deploying large scale ML models
  • Proficiency in cloud platforms such as GCP, AWS, or Azure
  • Deep understanding of DNN architectures, PyTorch, TF, and recommender systems
  • Experience with dev-ops tooling such as Kubernetes
  • Data engineering knowledge including handling and managing large datasets, data cleaning, preprocessing, and storage
  • 4+ years of experience as an MLE
  • 2+ years of experience working on a cloud environment and with dev-ops tooling
  • 1+ year of experience leading projects with at least 1 other team member through completion
  • A degree in computer science, engineering, or a related field
Responsibilities
  • Own and contribute to foundational models that powers recommendations pipelines
  • Contribute to the research and development of recommender models and experiment with the latest ML innovations
  • Design, advocate, and implement for availability, scalability, operational excellence, and cost management
  • Collaborate closely with ML Engineers, Data Scientists, and Product Managers
  • Mentor and educate ML Engineers on current and up and coming research, technologies and best practices of doing ML at scale
Desired Qualifications
  • Familiarity with ML serving solutions like Ray, KubeFlow or W&B
  • Experience with knowledge distillation
  • Experience with orchestrators like Argo and Airflow
  • Strong written communication skills
  • Software leadership skills