Match Group jobs in new york new york

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Spearhead the development and execution of automated tests (e.g., functional, regression, integration, and performance) to ensure efficient, repeatable, and reliable testing processes. Cross-Functional Collaboration: Work closely with product managers, developers, and UX teams to identify features and areas that will benefit most from automation. Provide technical input on requirements and user stories, advocating for automation solutions that enhance test coverage and reduce manual testing efforts. Bug Tracking & Resolution via Automation: Collaborate with development teams to integrate automated regression testing into the defect resolution workflow, ensuring long-term quality improvements. User-Reported Issue Integration: Incorporate user-reported issues into automated regression cases for continuous validation, helping to establish quantitative metrics for assessing the quality and reliability of the Hinge app. Develop automation scenarios that replicate real-world usage based on user feedback to ensure comprehensive test coverage. Process Improvement & Innovation: Continuously assess and refine the automation framework, testing processes, and methodologies to drive efficiency and improve overall product quality. Extensive QA Experience: Minimum of 5+ years in QA, with at least 3 years dedicated to automated testing of mobile applications in fast-paced Agile environments. Automation Expertise: Proven hands-on experience in designing, developing, and maintaining automated test frameworks for mobile apps using industry-standard tools such as Appium, Espresso, or XCUITest. Demonstrated ability to write robust, reusable test scripts in programming languages (e.g., Java, Kotlin, Swift) and integrate them within continuous integration pipelines (e.g., Jenkins, GitLab C, CircleCII). Deep Technical Proficiency: Advanced understanding of the Software Development Life Cycle (SDLC) and modern testing methodologies, with a track record of identifying, documenting, and prioritizing critical defects in a systematic manner. Expertise in test case design, execution, and automation, ensuring rigorous verification of product quality at every stage of the development process. Analytical & Problem-Solving Skills: Exceptional attention to detail combined with strong analytical abilities to thoroughly investigate, diagnose, and resolve complex issues, while proactively proposing innovative solutions. Proven experience in using data-driven approaches to enhance test coverage and quality, with a track record of recommending actionable improvements to optimize testing processes and product performance. Effective Communication: Excellent written and verbal communication skills, with a demonstrated ability to clearly articulate technical issues to both technical and non-technical stakeholders in a timely manner. Experience in preparing comprehensive test documentation, reports, and dashboards that drive decision-making. Quality and Performance Commitment: A relentless focus on delivering high-quality products, with an unwavering commitment to upholding the performance and integrity of the mobile application. Must demonstrate an ability to work under pressure and meet tight deadlines without compromising on quality. Cross-Platform Testing Proficiency: Strong background in testing both Android and iOS applications, with the capability to design cross-functional test strategies that ensure consistency and performance across platforms. Desirable but not Mandatory: Experience with AI-driven automation tools to leverage machine learning for predictive testing, adaptive test case generation, and enhanced defect detection is an added advantage. Experience Establishing and maintaining a robust automation framework from scratch, including integration with continuous integration/continuous deployment (CI/CD) pipelines.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/25880385", "isPrivate": false}, {"id": 27213789, "name": "Scaled Operations Program Manager / Quality Operations Program (Trust and Safety)", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Trust & Safety", "t_update": 1748062879, "t_create": 1738966849, "ats_job_id": "07e5796e-4f35-4a6e-939c-015af822c317", "display_job_id": "07e5796e-4f35-4a6e-939c-015af822c317", "type": "ATS", "id_locale": "7312755052301178195-en", "job_description": "Quality Assurance Strategy & Execution: Develop and implement scalable QA frameworks, methodologies, and processes to ensure the accuracy, fairness, and efficiency of moderation decisions. Performance Monitoring & Insights: Establish key performance indicators (KPIs) and quality metrics to measure agent performance, decision accuracy, and process effectiveness. Process Optimization: Identify gaps in moderation workflows and recommend continuous improvement initiatives through automation, training enhancements, and best practice adoption. Training & Calibration: Partner with policy, training, and operations teams to create robust calibration processes, ensuring alignment between human moderators, AI models, and policy guidelines. Incident Management & Root Cause Analysis: Investigate quality-related issues, conduct root cause analysis, and implement corrective actions to mitigate risks and prevent recurrence. Data-Driven Decision Making: Analyze QA data and generate actionable insights to improve moderation outcomes, agent performance, and overall operational efficiency. Cross-functional Collaboration: Work closely with internal teams (Policy, Legal, Product, Engineering, and Operations) to align QA initiatives with business goals and regulatory requirements. Vendor & Partner Management: Oversee external QA vendors, ensuring adherence to quality standards and driving continuous process enhancements. Experience: 3+ years in quality assurance, content moderation, trust & safety operations, or a related field, preferably within a scaled operations environment. Industry Knowledge: Deep understanding of Trust & Safety, content moderation, and risk management processes, including regulatory compliance requirements. Analytical & Problem-Solving Skills: Strong data analysis capabilities, with experience leveraging QA tools, dashboards, and statistical insights to drive decision-making. Process Improvement Expertise: Proven ability to design, implement, and optimize QA frameworks and moderation workflows in high-volume operational settings. Collaboration & Leadership: Demonstrated ability to work cross-functionally, influence stakeholders, and drive alignment across global teams. Technical Skills: Familiarity with AI-driven moderation tools, quality monitoring platforms, and workflow automation solutions. Communication Skills: Excellent written and verbal communication skills, with the ability to convey complex concepts to both technical and non-technical audiences. Preferred Qualifications: Experience with large-scale vendor management, regulatory compliance in content moderation, and trust & safety policy implementation", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/27213789", "isPrivate": false}, {"id": 27248394, "name": "Senior Machine Learning Engineer, Trust & Safety", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1748062879, "t_create": 1739293554, "ats_job_id": "47f77d01-7ffb-45d2-b3f6-df71b6cb3eba", "display_job_id": "R0004257", "type": "ATS", "id_locale": "R0004257-en", "job_description": "Develop, deploy, and maintain end-to-end machine learning models to identify and mitigate bad actors, remove policy-violating content, and ensure user safety. Design and implement scalable systems (e.g., using Spark, Kubernetes) to preprocess data, run inference, and manage post-processing pipelines. Define standardized performance metrics, testing protocols, and evaluation processes to measure the effectiveness, identify and mitigate potential risks, and ensure fairness of AI solutions. Ensure ongoing assessment and refinement of AI solutions, incorporating user feedback, business impact, and emerging ethical considerations. Collaborate closely with Data Scientists, Data Engineers, Product Managers, Backend Engineers, and the AI Platform Team to ensure a comprehensive and coordinated approach to user safety. Stay abreast of new trends and research in AI/ML that can be applied to Trust & Safety initiatives to improve detection, user safety, and stay ahead of potential threats. Strong programming skills: Proficiency in languages like Python, Java or C++ and SQL, proficiency in at least one ML stack (e.g., PyTorch), and strong understanding of data pipelines Domain expertise: Deep understanding of machine learning, deep learning, and emerging AI technologies. Proven track record of building, debugging, and fine-tuning real-time machine learning models for user facing products. Experience with applying expertise to fraud detection, content moderation, or related fields is a plus . System design & architecture: Experience training and deploying large scale ML models. Good understanding of distributed computing for learning and inference. Evaluation frameworks for LLMs: Experience designing robust testing protocols to ensure effectiveness, fairness, and safety of AI-driven features. Cloud and data platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with solutions like Databricks, Ray, or KubeFlow is a plus. Data engineering knowledge: Skills in handling and managing large datasets including, data cleaning, preprocessing, and storage. Good understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow. Strategic technical leadership skills: Demonstrated track record of guiding teams through complex ML projects in alignment with product and business objectives. Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds. Strong written communication: The ability to communicate complex ideas and technical knowledge through documentation. 4+ years of experience, depending on education, as an MLE or data scientist. Previous experience working in Trust & Safety or related fields (e.g., fraud detection, content moderation, compliance) is preferred. 2+ years of experience in applying end-to-end machine learning models, including data collection, model training, deployment, and monitoring in an industry setting 1+ years of experience integrating LLMs in real-world applications with the appropriate baseline metrics and evaluation methodologies. 1+ years of experience utilizing ML infrastructure components such as a feature store, model training environment, model serving environment, observability, workflow orchestrator, etc. A degree in computer science, engineering, or a related field (or equivalent practical experience).", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/27248394", "isPrivate": false}, {"id": 27272087, "name": "Senior iOS Engineer", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1748062879, "t_create": 1739474093, "ats_job_id": "9fc57e76-133a-44e2-9cd1-561b49233b00", "display_job_id": "R0004269", "type": "ATS", "id_locale": "R0004269-en", "job_description": "Team Leadership & Best Practices: Champion best practices and team principles that enhance collaboration and elevate the success of the iOS team. Feature Development: Design, develop, and refine features that enhance the functionality and user experience of our iOS application. Cross-Functional Collaboration: Partner with product managers, designers, and engineers to deliver seamless user experiences. Apple Ecosystem Expertise: Stay current with the latest Apple platform updates, leveraging new capabilities to drive innovation within the app. Reliability & Issue Resolution: Monitor, diagnose, and address production crashes and customer-reported issues to ensure a smooth user experience. Architecture & Scalability: Maintain and evolve a scalable, extensible, and efficient application architecture to support future growth. Proficiency in Swift & UIKit: In-depth knowledge of Swift, UIKit, and iOS app development App Architecture: Familiarity with client application and systems architecture patterns like VIPER, MVVM, and MVP. Feature Development: Experience building and maintaining apps with comprehensive feature sets and rich user interfaces. Production Support: Prior experience operating and troubleshooting production apps. Problem-Solving & Organization: A structured thinker with strong attention to detail and the ability to see the big picture. SwiftUI & Concurrency: Experience with SwiftUI and Swift Concurrency is a plus. CI/CD & Deployment: Familiarity with Github Actions, CircleCI, Fastlane, and TestFlight is a plus. In-App Purchases: Experience with in-app purchases is a plus. 4+ years of professional experience in iOS development", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/27272087", "isPrivate": false}, {"id": 27719252, "name": "Staff Machine Learning Platform Engineer", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1748062879, "t_create": 1741811827, "ats_job_id": "9ae78f81-e838-4116-9852-07c6c5a6a051", "display_job_id": "9ae78f81-e838-4116-9852-07c6c5a6a051", "type": "ATS", "id_locale": "791336523376867373-en", "job_description": "Define the long-term, holistic roadmap for the Feature Store platform, aligning it with company-wide ML initiatives and ensuring end-to-end integration with model training, serving and observability platforms. Evaluate and introduce new technologies, tools and best practices that enhance feature serving reliability, scalability, cost efficiency and throughput, including leading build vs buy discussions. Architect, build, and maintain frameworks enabling MLEs for self service data ingestion and serving pipelines for both offline (batch, async) and online (low-latency) feature stores. Partner with cross-functional Platform teams to represent feature engineering requirements and incorporate them into Hinge's wider Platform capabilities. Collaborate closely with ML Engineers, Data Scientists, and Product Managers to understand the ML development lifecycle and identify opportunities to accelerate the AI/ML development and deployment process. Mentor and educate ML Engineers and Data Scientists on current and up and coming methods, tools and technologies for Feature Engineering. Help design and architect an AI platform that adheres to the principles of responsible AI and simplifies privacy compliance. 5+ years of experience, depending on education, as an ML Platform Engineer, Data Engineer, or Platform Engineer developing and working with large scale, complex data processing and or warehousing systems. 4+ years of experience working on a cloud environment such as GCP, AWS, Azure, and with dev-ops tooling such as Kubernetes 3+ years of experience leading projects with at least 2 other team members through completion. 2+ years of experience for Staff designing and developing online and production grade ML Feature Store systems. A degree in computer science, engineering, or a related field. Strong programming skills: Proficiency in languages like Python, Go, or Java. System design & architecture: Ability to design scalable and efficient ML systems, particularly data intensive systems. Data engineering expertise: Skills in handling and managing large streaming data processing systems and formats (parquet, json, protobuf, delta) including data cleaning, preprocessing and storage systems. Feature Store Platform technology skills: The ability to establish and use Feature Store platforms such as Databricks, Feast, Tecton, Hopsworks, Ray, and/or similar. Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. ML knowledge: Broad awareness of the entire ML lifecycle, including the data needs for training, serving and evaluation. Communication skills: The ability to communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds through documentation, RFCs and presentations. Software leadership skills: A track record of leading projects with multiple contributors and stakeholders through completion with quantifiable and measurable outcomes. Strategic leadership skills: Demonstrated technical leadership experience in aligning platform strategy with product and business objectives.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/27719252", "isPrivate": false}, {"id": 28194763, "name": "Senior Policy Manager", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Trust & Safety", "t_update": 1748062879, "t_create": 1744140655, "ats_job_id": "c9dd380c-eb08-43fe-b706-6d691ace7309", "display_job_id": "R0004273", "type": "ATS", "id_locale": "R0004273-en", "job_description": "Translate high-level platform and regulatory requirements into clear, scalable content and safety policies. Ensure effective implementation of policies across moderation, product, and operations. Lead development of enforcement guidance and documentation aligned with internal tooling. Contribute to responsible AI governance, ensuring automated enforcement aligns with platform principles and mitigates risk. Future potential to manage and coach a small team, balancing individual contributions with people leadership. In near term, serve more as a peer mentor for more junior team members and take the lead on all things policy Coordinate the full policy lifecycle across internal and parent company stakeholders\u2014from drafting to rollout to iteration. Use data and enforcement trends to assess policy performance and proactively adapt approaches. Facilitate cross-functional planning and training to support adoption, clarity, and operational excellence. 6+ years of experience in policy development, trust & safety, legal, compliance, or platform governance. Experience managing or mentoring others in player-coach or team lead roles. Deep expertise in policy writing or implementation, operational scaling, and system design for policy enforcement. Proficiency in data analysis and risk evaluation, especially using enforcement and system-level data. Familiarity with AI-driven enforcement risks such as false positives, bias, and transparency challenges. Excellent communication and stakeholder management across technical, legal, and product audiences. Bachelor's degree or equivalent experience. Experience in Trust & Safety policy for an online platform. Knowledge of platform regulations (e.g., DSA, GDPR, transparency laws). Background in law, public policy, operations, or compliance. Experience scaling policy systems across global or third-party teams. Master's degree or relevant certifications a plus.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/28194763", "isPrivate": false}, {"id": 28398710, "name": "Scaled Ops Program Manager, External Tools", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Trust & Safety", "t_update": 1748062879, "t_create": 1744820290, "ats_job_id": "bcbeb626-9b09-4b55-9f08-8e777dc06436", "display_job_id": "bcbeb626-9b09-4b55-9f08-8e777dc06436", "type": "ATS", "id_locale": "1687089681296208041-en", "job_description": "Maintain an external tooling ecosystem that supports our users and improves agent efficiency. Configure queue systems to streamline macro selection and reduce decision fatigue for agents. Design and implement a seamless routing system to enable quality support interactions across multiple sites. Develop tracking systems to monitor site-and-agent-level performance, including productivity, adherence, and efficiency. Implement reporting dashboards to provide actionable insights for operational improvements. Improve our CSAT survey and tracking processes to measure user satisfaction. Create automated reporting and feedback loops for continuous improvement. Consult on the strategic vision for Zendesk integration with first-party internal tools and potential user-facing applications. 3+ years of experience as a SaaS Administrator, with a primary focus on Zendesk. Hands-on experience with workflow automation, custom integrations, and system optimizations. Strong understanding of support operations, agent productivity tools, and performance tracking. Ability to design and implement scalable solutions to improve support efficiency. Experience integrating third-party tools with Zendesk and managing API-based workflows. Data-driven mindset with experience in reporting, analytics, and performance tracking. Strong cross-functional collaboration experience, working with Engineering, Product, and Operations teams. Zendesk Admin Certification Experience working in Trust & Safety, Customer Support, or Content Moderation environments. 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Mentor and educate ML Engineers on current and up and coming research, technologies and best practices of doing ML at scale. Ensure the ethical and responsible use of ML/AI and compliance with privacy regulations to protect user data Communicate effectively to audiences of various technical and non-technical backgrounds Strong programming skills: Proficiency in Python and ML libraries such as PyTorch Domain expertise: Deep understanding of machine learning, deep learning, and emerging AI technologies. Proven track record of building, debugging, and fine-tuning machine learning for user facing products. Experience with causal inference, uplift modeling, and interventional data collection is a plus. System design & architecture: Strong background in setting up and optimizing ML infrastructure, including containerization (Docker), orchestration (Kubernetes), and CI/CD workflows for ML (e.g., model versioning, automated testing). Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with ML serving solutions like Ray, KubeFlow, or Weights & Biases is a plus. Data engineering knowledge: Skills in handling and managing large datasets including data cleaning, preprocessing, and storage. Good understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow. Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds.. 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Swift Proficiency: Develop and continuously enhance your understanding of Swift fundamentals, applying them to create efficient and effective solutions. iOS Expertise: Gain a thorough understanding of iOS development principles, Apple's Human Interface Guidelines, and architectural design patterns, applying them to build intuitive and user-friendly applications. Issue Resolution: Triage, debug, and effectively resolve software issues, ensuring the stability and performance of our application. Codebase Stewardship: Actively contribute to the long-term health and evolution of the codebase, implementing best practices and innovative solutions. Code Reviews: Regularly perform code reviews, providing constructive feedback to peers to foster a culture of excellence and continuous improvement. Active Team Participation: Engage actively in team ceremonies such as stand-ups, planning sessions, and retrospectives to ensure alignment and promote agile methodologies. Effective Communication: Maintain clear and positive communication with team members and other departments, supporting an empowering and inclusive team environment. Professional iOS Development Experience: You have 3-5 FTE years of experience in iOS development, demonstrating the ability to design and implement mobile applications effectively. App Store Publication: You have experience publishing at least one application on the App Store, showcasing your understanding of the deployment process and maintaining a production application. Proficiency in Swift and iOS Frameworks: You are proficient in Swift and have a strong understanding of iOS SDKs and frameworks. Solid Software Development Fundamentals: You possess a good foundation in software development principles and are capable of creating efficient and maintainable code. Strong Communication Skills: You are able to communicate clearly and effectively, facilitating productive collaborations within technical and non-technical teams. Ownership and Quality Focus: You take pride in your work and are committed to creating high-quality user experiences, demonstrating attention to detail and a user-centric approach to application development. 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Acting as an internal consultant and project manager, the Senior Manager leads priority initiatives across the company, with initial focus on supporting Shared Services design, cost optimization efforts, and strategic enablement of the Match Group portfolio operating model. This leader will drive for results with integrity, seek stakeholder-focused solutions, and bring a balance to long-and short-term priorities. The Senior Manager reports to the SVP, Head of Strategy and Operations, and partners closely with the other S&O team members, as well as multiple executives, team leaders and teams across Match Group as project work requires. Know where you belong. Match Group is a leading provider of dating services across the globe. Our portfolio includes Tinder, Match, Hinge, PlentyOfFish, The League, and others, each designed to spark meaningful connections for singles worldwide. Creating a sense of belonging doesn't stop at our platforms - it's the foundation of every team we hire. When it comes to dating, the connection starts online, but the real magic happens once you meet in real life (IRL). We think the same is true for creating the best platforms, so we work together IRL in our New York City or Dallas office 3 days/week. How you'll make an impact: Work closely with the COO and SVP, Strategy & Operations, to prioritize, design, kick off and as needed lead strategic initiatives, aligned with Match Group priorities Lead strategic project management across high-priority, cross-functional initiatives, with pre-determined goals and KPIs Align executive sponsors, initiative owners, and functional leads around shared milestones, deliverables, and outcomes Ensure project-level coordination across shared services, including SLA/KPI/ OKR tracking and governance implementation Work with the new Shared Services leaders to finalize the operating models, design, mission, customer-service orientation, accountability, SLAs, governance - to set them up for long-term success Serve as a liaison between Shared Service leaders, BU and Central functions leaders, to ensure aligned expectations, consistent communication, risk escalation, and issue resolution Support executive reporting and decision-making by surfacing project status, risks, and resource constraints We could be a Match if: You have 8+ years in strategy consulting, internal strategy, or enterprise program/project management You have strong leadership and stakeholder alignment experience across business and technical teams You have demonstrated ability to manage complex initiatives with no direct ownership, relying on influence and communication You have experience designing or managing governance, performance management, portfolio OKRs/ KPIs, or portfolio operations frameworks You have strong executive communication skills, including comfort preparing high-impact materials for COO/C-suite audiences You are a highly organized self-starter, strategic operator who thrives in ambiguity and drives clarity at scale $ 160000- $190000 a year Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of New York, NY. The salary range for Dallas, TX is $136,000-$163,000. For all other locations, this salary may be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting. 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