Match Group jobs in new york new york

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Taking part in the backend On-Call rotation (1 whole week, every 8-11 weeks). Design and build microservices that run on Kubernetes. Design and build distributed systems in Go, using cloud infrastructure and platform service components. Own the technical design, implementation, and success of their projects. Collaborate effectively with cross-functional partners. Help foster a culture of collaboration and inclusivity. Cultivate a growth mindset. Effectively organize and manage personal workload, tasks, and meetings. 3+ years of industry experience as a backend/service engineer. 2+ years of experience working in a cloud environment such as GCP, AWS, Azure. Strong programming skills: Familiarity with Go is a bonus! System Design & Architecture: Familiarity with distributed computing concepts. Collaboration and Communication skills: Ability to clearly communicate complex ideas to teammates. Cloud Technologies: Familiarity with Kubernetes, OpenTelemetry, gRPC/Protobuf, etc.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/25426719", "isPrivate": false}, {"id": 25880385, "name": "Senior QA Analyst", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1743656506, "t_create": 1730314888, "ats_job_id": "5fcbcdbd-7113-484e-8c6c-4117c53a58fe", "display_job_id": "5fcbcdbd-7113-484e-8c6c-4117c53a58fe", "type": "ATS", "id_locale": "4443494718728080543-en", "job_description": "Test Planning & Case Development: Design, develop, and implement a comprehensive automation strategy for the Hinge app by creating detailed test plans, test cases, and automated test scripts based on functional requirements and technical specifications. 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": 26915420, "name": "Lead Product Manager, Monetization", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Product", "t_update": 1743656506, "t_create": 1737134896, "ats_job_id": "5e7a1ddd-2999-4f7d-9091-b5149db40bd0", "display_job_id": "R0004168", "type": "ATS", "id_locale": "R0004168-en", "job_description": "Product Leadership: In this role you will be a leader within Growth, expected to work at the highest levels of the company to gain executive buy-in and sponsorship of your roadmap and project proposals. This role also involves close collaboration with our Finance leadership to meet Hinge's financial goals for the year. Product Strategy: Define and iterate Hinge's end-to-end strategy for monetizing our product, while maintaining a first-class experience for free users and aligning it with the company's overall goals and objectives. Experiment with pricing models, feature bundles and subscription tiers to enhance customer adoption and maximize revenue. Roadmap Planning: Create and maintain a clear product roadmap, regularly aligning with stakeholders. Communication: Clearly communicate roadmaps, priorities, experiments and decisions across the organization, from partner teams to executives. Feature Development: Lead and collaborate cross functionally on the ideation, design, technical development and launch of optimizations and new capabilities that will help users date more efficiently while helping Hinge drive exceed revenue goals. Data Analysis: Partner with data and analytics to track feature performance and make data-driven decisions to iterate. Analyze user behavior, engagement trends and revenue metrics to identify new growth and merchandising opportunities. Cross-functional Collaboration: Work closely with Hinge's other product, design, data, research, and engineering teams to ensure alignment, and effective execution. 6+ years product management experience, preferably with a background supporting consumer technology, marketplace platforms or subscription based products. Solid business acumen and comfort working closely with finance partners to define, track and deliver impactful outcomes. Proven track record of driving revenue growth through innovative product strategies and experiments. Deep understanding of pricing models, customer segmentation and subscription products. Strong analytics skills, with experience working with data tools Exceptional communication and storytelling abilities to influence stakeholders at all levels. Experience working with A/B testing frameworks and growth experimentation methodologies. A customer-centric mindset with a focus on delivering long term value.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/26915420", "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": 1743656506, "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": 27385634, "name": "Data Scientist, Trust & Safety", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1743656506, "t_create": 1740504050, "ats_job_id": "44183502-3de7-4fd5-87c5-464392cbbf6e", "display_job_id": "R0004233", "type": "ATS", "id_locale": "R0004233-en", "job_description": "Collaborate with a cross-functional team of Product Managers, Researchers, Designers and Engineers to develop and iterate on product features and strategy Translate product objectives to data science problems and vice versa Apply statistical inference to draw rigorous conclusions from data, especially through designing and analyzing A/B tests and working on strategic insights that drive product strategy Use a combination of exploratory analysis and data mining techniques to generate actionable insights about user experience and user problems Collaborate with AI team to develop, iterate, and test production models (e.g., targeting) 3+ years of experience as a Data Scientist Strong knowledge of statistics and machine learning Experience with A/B testing Strong working knowledge of SQL and Python (R is acceptable, but we use Python at Hinge) Exposure to engineering best practices in a work environment Superb communication skills Ability to balance rigor with practicality Deep sense of intellectual curiosity", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/27385634", "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": 1743656506, "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": 25720841, "name": "Senior Data Engineer, Dating Outcomes", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1743656506, "t_create": 1729281095, "ats_job_id": "0164e706-70ce-49c2-8332-83d7eb4ce607", "display_job_id": "R0004222", "type": "ATS", "id_locale": "R0004222-en", "job_description": "Design, build, and optimize data pipelines that support critical foundational, cross-cutting product services, empowering the product team to make informed decisions. Drive advancements in our Data Engineering stack by implementing containerization, refining data modeling techniques, and evolving ETL pipeline development to support emerging business needs and scalability requirements. Leverage your data modeling expertise to design, build, and maintain our analytics data warehouse that delivers reliable, high-quality datasets for reporting, analytics, and machine learning purposes, supporting both short-term insights and long-term strategic initiatives. Advocate for Data Engineering best practices within the team, championing their adoption and supporting the continuous improvement of the team's capabilities. Work with stakeholders across the organization to understand their data needs and translate these needs into actionable data solutions. Continue to learn more about the Data Engineering discipline, utilize that knowledge in your deliverables, and identify opportunities to enhance our pipelines. Participate in our on-call rotation to ensure system reliability, promptly addressing issues to ensure smooth operations. 5+ years of professional/industry experience in data engineering, delivering data products from conception to delivery and supporting their underlying infrastructure. Strong technical background in building and optimizing data pipelines, with proficiency in Python, SQL, and data modeling for different types of data sources and business processes. Technical expertise in the following: Python, Go, Kubernetes, Docker, Terraform, CircleCI, GitHub Actions, Kafka, PubSub, Dataflow, Redshift, BigQuery, Databricks, dbt, Looker Experience with cloud environments such as GCP, AWS, or Azure Strong communication skills (written and verbal), with an ability to work collaboratively with cross-functional teams, including backend engineering, data science, and product teams. Effective analytical, troubleshooting, and problem-solving skills, ensuring data systems operate efficiently and meet business needs. Mentorship experience, with a focus on guiding junior data engineers and contributing to team growth through knowledge-sharing and code reviews. A degree in computer science, engineering, or a related field.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/25720841", "isPrivate": false}, {"id": 27272087, "name": "Senior iOS Engineer, Monetization", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1743656506, "t_create": 1739474093, "ats_job_id": "9fc57e76-133a-44e2-9cd1-561b49233b00", "display_job_id": "9fc57e76-133a-44e2-9cd1-561b49233b00", "type": "ATS", "id_locale": "8030531830804995629-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. 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Kotlin Proficiency: Develop and continuously enhance your understanding of Kotlin fundamentals, applying them to create efficient and effective solutions. Android Expertise: Gain a thorough understanding of Android development principles and 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 Android Development Experience: You have 3-5 FTE years of experience in Android development, demonstrating the ability to design and implement mobile applications effectively. Google Play Publication: You have experience publishing at least one application on the Google Play Store, showcasing your understanding of the deployment process and maintaining a production application. Proficiency in Kotlin and Android SDKs: You are proficient in Kotlin, which is strongly preferred, and have a good understanding of Android SDKs and frameworks. Experience with Java in the context of Android development is also beneficial. Solid Software Development Fundamentals: You possess a good foundation in software development principles and are capable of creating efficient and maintainable code. 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