Match Group

Machine Learning Engineer

New York, New York, United States

Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Consumer SoftwareIndustries

Requirements

Candidates must possess strong programming skills, including proficiency in languages such as Python, Java, or C++. They should have a proven track record of training and deploying large-scale machine learning models, particularly deep neural networks (DNNs), with a good understanding of distributed computing for learning and inference. Familiarity with cloud platforms like GCP, AWS, or Azure, along with ML serving solutions like Ray, Kubeflow, or Weights & Biases, is required. A deep understanding of DNN architectures, experience building, debugging, and fine-tuning models, and knowledge of frameworks like PyTorch or TensorFlow, along with familiarity with techniques such as knowledge distillation and recommender systems, are also necessary. Dev-Ops skills, including the ability to establish and manage data and compute infrastructure like Kubernetes and Terraform, and data engineering knowledge encompassing data pipelines and processing, are essential.

Responsibilities

The Machine Learning Engineer will own and contribute to foundational models that power the recommendation pipelines, contribute to the research and development of recommender models while experimenting with the latest ML innovations, and design, advocate, and implement for availability, scalability, operational excellence, and cost management while delivering impact to daters. They will collaborate closely with ML Engineers, Data Scientists, and Product Managers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process, mentor and educate ML Engineers on current and up-and-coming research, technologies, and best practices, and perform other job-related duties as assigned.

Skills

Python
Java
C++
System Design
Machine Learning
DNNs
GCP
AWS
Azure
Ray
KubeFlow
W&B
Cloud Computing
Distributed Computing
Recommendation Systems
LLMs
Embedding Models
Predictive Models

Match Group

Provides online dating and social discovery

About Match Group

Match Group leverages the Swipe feature® and social discovery, facilitating deeper connections through its portfolio of online dating brands, with a global presence and availability in over 40 languages.

Key Metrics

Dallas, TexasHeadquarters
1986Year Founded
$400MTotal Funding
IPOCompany Stage
Consumer Software, Social ImpactIndustries
1,001-5,000Employees

Benefits

Medical/Dental/Vision Insurance
Charitable Matching Program
Retirement Matching Funds
Training and Education Allowance
Performance Bonuses
Mental Health Counseling

Risks

Increased competition from AI-driven dating apps may draw users away.
Privacy concerns and data breaches could impact reputation and operations.
Free dating apps with innovative features may pressure Match Group's pricing models.

Differentiation

Match Group offers nearly 50 brands catering to diverse dating communities.
The company generates revenue through subscription, transaction, and advertising models.
Match Group operates globally, available in over 200 countries and 40 languages.

Upsides

Increased interest in AI-driven matchmaking enhances user experience and engagement.
Growing trend of VR integration offers immersive dating experiences.
Rising demand for niche platforms caters to specific interests and communities.

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