Match Group

Sr. Software Engineer, Machine Learning Revenue

Palo Alto, California, United States

$150,000 – $220,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
InternshipJob Type
UnknownVisa
AI & Machine Learning, Software Engineering, E-commerceIndustries

Requirements

Candidates should possess a Bachelor’s degree in Computer Science or a related field, along with a minimum of 5 years of experience in software engineering, particularly with machine learning applications. Strong programming skills in Python and experience with machine learning frameworks such as TensorFlow or PyTorch are essential, as is a solid understanding of causal inference, reinforcement learning, and deep learning techniques. Experience with large-scale data processing and distributed systems is also desired.

Responsibilities

As a Sr. Software Engineer, Machine Learning Revenue, you will be responsible for developing and deploying machine learning models and systems to optimize Tinder’s monetization strategy, including personalized product recommendations and passive monetization efforts like ads. This involves designing, implementing, and evaluating models using cutting-edge technologies, collaborating with the revenue team to shape the monetization roadmap, and contributing to the development of a best-in-class premium product offering for Tinder’s users.

Skills

Python
TensorFlow
PyTorch
Causal Inference
Reinforcement Learning
Deep Learning
Large-Scale Data Processing
Distributed Systems

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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