Match Group

Staff Software Engineer, Machine Learning

Palo Alto, California, 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 should possess a Bachelor’s degree in Computer Science or a related field, and have at least 5 years of experience in software engineering, with a focus on machine learning systems. Strong programming skills in Python and experience with machine learning frameworks such as TensorFlow or PyTorch are required, alongside a solid understanding of data structures and algorithms. Experience with large-scale systems and distributed computing environments is also preferred.

Responsibilities

As a Staff Software Engineer, you will design, implement, and scale machine learning systems for Tinder recommendations, directly influencing potential matches and optimizing the user experience. You will work closely with the ML team to develop and improve recommendation algorithms, leveraging cutting-edge techniques to drive key business metrics. Additionally, you will contribute to the overall architecture and stability of the recommendation infrastructure, ensuring it can handle the demands of a global user base.

Skills

Machine Learning
Algorithms
Recommendations
System Design
Scaling
Optimization

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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