Senior ML Engineer
Growth
Confirmed live in the last 24 hours
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

6%

1 year growth

22%

2 year growth

25%
Locations
New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Microsoft Azure
Python
Java
AWS
Google Cloud Platform
CategoriesNew
AI & Machine Learning
Applied Machine Learning
AI Research
Requirements
  • Proficiency in Python, Java, or C++
  • Deep understanding of machine learning, deep learning, and emerging AI technologies
  • Experience training and deploying large scale ML models
  • Cloud platform proficiency (GCP, AWS, or Azure)
  • Data engineering knowledge
  • Strong collaboration and communication skills
  • Strong written communication skills
  • Software leadership skills
  • 4+ years of experience as an MLE
  • 2+ years of experience working on a cloud environment
  • 2+ years of experience designing and developing online and production grade ML systems
  • Degree in computer science, engineering, or related field
Responsibilities
  • Develop and deploy targeting and timing models for smart notifications
  • Improve user engagement with notifications by optimizing for relevancy and personalizing for responsiveness
  • Design, advocate, and implement for availability, scalability, operational excellence, and cost management
  • Keep abreast of cutting-edge research, technologies, and best practices in the ML/AI space
  • Ensure ethical and responsible use of ML/AI and compliance with privacy regulations
  • Communicate effectively to audiences of various technical and non-technical backgrounds
  • Perform other job-related duties as assigned