Full-Time
Staff Software Engineer
Machine Learning
Posted on 9/26/2025
Match Group
1,001-5,000 employees
Global dating platforms with subscription model
Compensation Overview
$244.9k - $293.8k/yr
Company Historically Provides H1B Sponsorship
New York, NY, USA
Hybrid
Telecommuting permitted 3 days per week; must report to the office 2 days per week.
 AI & Machine Learning (2) |
|---|
| , |
- Bachelor’s degree or U.S. equivalent in Computer Science, Data Science, Computer Engineering, or a related field, plus 5 years of professional experience performing machine learning and data science analysis
- In lieu of a Bachelor's degree plus 5 years of experience, a Master's degree or U.S. equivalent in Computer Science, Data Science, Computer Engineering, or a related field, plus 3 years of professional experience performing machine learning and data science analysis
- 3 years of professional experience designing and building highly scalable distributed machine learning models for business to consumer mobile applications
- 3 years of professional experience developing deep learning models for computer vision, natural language processing, or recommendation systems
- 3 years of professional experience developing data processing and data pipelines at large scale
- 3 years of professional experience handling large volumes (10M+ MAU) of data and performing data science analysis in a disturbed manner, deriving insights from the data, and strategizing new business opportunities
- 3 years of professional experience performing machine learning and data science analysis (including leading and collaborating with the design, analytics, and development teams across web and apps) and data science analysis to identify new business opportunities
- 3 years of professional experience utilizing Python, Java, or C+
- 3 years of professional experience training and deploying large scale Machine Learning (ML) models, including DNNs
- 2 years of professional experience working on a cloud environment including GCP, AWS, or Azure, and with dev-ops tooling including Kubernetes or Terraform
- Design and develop engineering systems to deploy machine learning models
- Perform deep analysis to understand how machine learning models perform
- Align and work within the team to provide insights and identify new technical/business opportunities for improvements
- Perform research and experimentation in advanced machine learning methods including but not limited to deep neural networks in recommendations, vision and text modalities
- Use strong communication skills (verbal and written) to define and own the objectives and metrics for the team
- Devise the development strategies that inform team roadmaps
- Act as a technical lead for the team, including mentoring team members
- Use strong communication skills (written and verbal) to work across multiple teams (including engineering, analytics, and product stakeholders) to deliver meaningful impact on cross-functional projects
- Work with big data (1.6 billion+ user swipes per day)
- Develop data-driven approaches to understand user profiles
- Design, implement, and apply machine learning algorithms for product features
- Process and analyze data to derive insights and improve product iterations
Match Group runs a family of online dating and social-discovery services. It operates a B2C model built on freemium access, with premium subscriptions and in-app purchases that unlock features like better visibility, advanced search filters, and unlimited interactions, plus an advertising channel. Its apps use a swipe-style interface and real-time, location-based discovery, supported by proprietary matchmaking algorithms and a closed-loop data ecosystem to improve experiences across brands. It emphasizes safety tools such as Face Check. The company differentiates itself by owning a large portfolio of brands (including Tinder, Hinge, and Match) and leveraging cross-brand data and technology to optimize experiences, expand into new markets, and acquire emerging platforms. Its goal is to help people form romantic relationships, friendships, and social connections at a global scale while generating recurring revenue through subscriptions and ads.
Company Size
1,001-5,000
Company Stage
IPO
Headquarters
Dallas, Texas
Founded
1986
Simplify's Take
What believers are saying
- Hinge paying users grew 15% to 2 million in Q1 2026, driving $864 million revenue.
- $100 million Sniffies investment expands LGBTQ+ market with 3 million MAUs and buyout option.
- Tinder registrations rose 1% in Q1 2026 via astrology, music features amid AI transformation.
What critics are saying
- Bumble captures Tinder's Gen Z users, eroding 9.3 million payers by 10-15% within 12 months.
- TikTok dating features halve Tinder registrations as Gen Z exits in 12-24 months.
- EU DSA fines Tinder €500M+ for addictive swipes, forcing redesigns and 20% payer churn by 2027.
What makes Match Group unique
- Match Group operates 45+ brands like Tinder, Hinge, and Pairs across 190 countries.
- Proprietary swipe interface and closed-loop data ecosystem power global matchmaking.
- Pioneered online dating 20+ years ago with AI-native features reducing user burnout.
Help us improve and share your feedback! Did you find this helpful?
Benefits
Medical/Dental/Vision Insurance
Charitable Matching Program
Retirement Matching Funds
Training and Education Allowance
Performance Bonuses
Mental Health Counseling
Company News
Match Group reported Q4 revenues of $878 million, up 2.1% year-on-year, exceeding analyst expectations by 0.7%. The owner of dating apps including Tinder, Hinge and OkCupid delivered mixed results, with EBITDA guidance for next quarter beating expectations but full-year revenue guidance missing significantly. The company reported 13.84 million users, down 5.2% year-on-year, marking the weakest full-year guidance update among consumer subscription stocks tracked. CEO Spencer Rascoff said the company is one year into a three-phase transformation focused on user outcomes. Despite the mixed results, Match Group's stock has risen 9.7% since reporting earnings and currently trades at $31.70. Among peers, Roku posted the strongest Q4 performance with revenues of $1.39 billion, up 16.1% year-on-year.
Match Group's stock has fallen 14.6% to $30.66 over the past six months, underperforming the flat S&P 500. The company faces three key challenges that make it an unattractive investment. First, its subscriber base declined 4.7% annually over two years to 13.84 million, indicating struggles with customer acquisition. Second, average revenue per user fell 21% annually, suggesting eroding platform value when combined with declining payers. Third, Wall Street analysts project stagnant revenue growth over the next 12 months. Despite trading at a reasonable 8.3× forward EV/EBITDA valuation following the drawdown, analysts believe better opportunities exist elsewhere in software and edge computing sectors. The company likely needs to enhance existing offerings or develop new products to reverse these negative trends.
Match Group manager Chine Mmegwa now oversees 24 employees, up from three before November, reflecting a trend towards "megamanagers" in corporate America. Companies including Meta, Citigroup and Amazon have reduced middle-management ranks to streamline operations. The average number of direct reports per manager rose to 12.1 in 2024 from 10.9 the previous year, according to Gallup. Middle-manager job postings fell 12.3% in 2025. Match Group cut its workforce by 13% in early 2024, removing management layers to increase speed. Whilst decisions now move faster, Mmegwa works 10 additional hours weekly managing a larger, geographically dispersed team. Leadership consultants warn that whilst leaner structures can reduce bottlenecks, managers may become reactive rather than strategic. Workers risk disengagement if managers lack time for mentorship and appreciation.
Match Group reported third-quarter 2025 earnings of 82 cents per share, missing the Zacks Consensus Estimate by 9.89%, though up 60.8% year over year. Revenues of $914.3 million increased 2.1% year over year but missed estimates by 0.08%. Total payers decreased 4.5% year over year to 14.5 million, whilst revenues per payer rose 6.9% to $20.58. Hinge drove growth with revenues up 27% year over year to $184.7 million. Tinder revenues declined 2.5% to $490.6 million, with payers down 6.9% to 9.3 million. Shares have added 0.6% since the earnings report, outperforming the S&P 500. The company has raised $295 million total across three funding rounds in 14 months.
Match Group has eliminated its Chief Operating Officer role, resulting in Hesam Hosseini's departure after 18 years with the company. Hosseini had been COO since 1 April 2025, following a promotion, and previously served as CEO of Evergreen & Emerging Brands. The move follows earlier leadership changes under CEO Spencer Rascoff, including the departure of President Gary Swidler and layoffs aimed at saving $100 million annually. The decision comes as the dating app industry faces burned-out users and declining popularity amongst Gen Z. Match Group recently reported first-quarter revenue of $878 million, beating estimates, but its full-year forecast of $3.41 billion to $3.54 billion fell short of Wall Street's $3.59 billion expectation. Tinder is planning its first-ever product event this month to showcase new features and future plans.