Match Group jobs in new york new york

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Develop, maintain, and enhance reusable frameworks for AI/ML model development and deployment while establishing and driving best practices in machine learning engineering and MLOps. Design, advocate, and implement for availability, scalability, operational excellence, and cost management while delivering incrementally. Collaborate closely with ML Engineers, Data Scientists, and Product Managers to understand their needs 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 tools and technologies for ML operations through presentations and documentation. Help design and architect an AI platform that adheres to the principles of responsible AI and simplifies privacy compliance. Lead build vs buy discussions on technologies that would underpin the feature, training, and serving layers. Perform other job-related duties as assigned. 3+ years of experience, depending on education, as an ML, backend, data, or platform engineer developing and working with large scale, complex systems. 2+ years of experience working on a cloud environment such as GCP, AWS, Azure, and with dev-ops tooling such as Kubernetes 1+ year of experience leading projects with at least 1 other team member through completion. 1+ year of experience for Senior designing and developing online and production grade ML 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. Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. ML knowledge: A basic understanding of ML algorithms, techniques, and best practices. Data engineering knowledge: Skills in handling and managing large datasets including, data cleaning, preprocessing, and storage 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 Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/19938972", "isPrivate": false}, {"id": 20079076, "name": "Machine Learning Engineer", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1745557290, "t_create": 1705101155, "ats_job_id": "3fc3a7d4-4a84-4eb9-80d6-ab3c549c6171", "display_job_id": "3fc3a7d4-4a84-4eb9-80d6-ab3c549c6171", "type": "ATS", "id_locale": "203998211731315363-en", "job_description": "Own and contribute to foundational models (e.g. CLIP embeddings) that powers our recommendations pipelines. Contribute to the research and development of recommender models as well experiment with the latest ML innovations (e.g. LLM agents and transcription models) Design, advocate, and implement for availability, scalability, operational excellence, and cost management while delivering impact to our daters incrementally. Collaborate closely with ML Engineers, Data Scientists, and Product Managers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process. Mentor and educate ML Engineers on current and up and coming research, technologies and best practices of doing ML at scale. Perform other job-related duties as assigned. Strong programming skills: Proficiency in languages like Python, Java or C++ System design & architecture: Proven track record of training and deploying large scale ML models specially DNNs. Good understanding of distributed computing for learning and inference. Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with ML serving solutions like Ray, KubeFlow or W&B is a plus. ML knowledge: Deep understanding of DNN architectures, track record of building, debugging and fine tuning models. Familiarity with PyTorch, TF, knowledge distillation, recommender systems are a plus. Dev-ops skills: The ability to establish, manage, and use data and compute infrastructure such as Kubenetes and Terraform. Data engineering knowledge: Skills in handling and managing large datasets including, data cleaning, preprocessing, and storage. Deep 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.. Strong written communication: The ability to communicate complex ideas and technical knowledge through documentation Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes. 4+ years of experience, depending on education, as an MLE. 2+ years of experience working on a cloud environment such as GCP, AWS, Azure, and with dev-ops tooling such as Kubernetes 1+ year of experience leading projects with at least 1 other team member through completion. 2+ years of experience for Senior designing and developing online and production grade ML systems. 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/20079076", "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": 1745557290, "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": 27272087, "name": "Senior iOS Engineer", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1745557290, "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. 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": 27320603, "name": "Director of Data Engineering", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1745557290, "t_create": 1739999583, "ats_job_id": "15237b37-218a-434a-8c1a-121a13292182", "display_job_id": "15237b37-218a-434a-8c1a-121a13292182", "type": "ATS", "id_locale": "8996247942820886652-en", "job_description": "Play a key role on the Data Leadership Team, shaping Hinge's overall data strategy while setting and executing the Data Engineering strategy. Ensure strategic alignment with Hinge's broader business, product, and technology objectives, driving data-driven innovation across the company. Enable Hinge's AI and machine learning initiatives by building and optimizing high-quality, scalable, and reliable data pipelines. Transform the current existing data engineering practices into unified and streamlined standards that enable optimized, high quality, scalable, and reliable data pipelines. Lead, scale, and mentor a high-performing team of data engineers and data engineering managers, fostering a culture of growth, collaboration, innovation, and operational excellence. Drive technical excellence, upholding high standards for code quality, system design, scalability, and reliability across all data engineering initiatives. Provide hands-on technical leadership, actively participating in architecture reviews, design discussions, and guiding critical technical decisions. Collaborate cross-functionally with BI Engineers, Backend and Client Engineers, ML Engineers, Data Scientists, and Product Managers to develop and implement scalable, data-driven solutions that power analytics, experimentation, and machine learning. Ensure seamless data integration across Hinge's products, features, and systems, enabling a unified, high-quality data ecosystem. Define and implement best practices that enhance team efficiency, optimize workflows, and drive continuous improvement in data engineering operations. Stay ahead of industry trends and emerging technologies, driving innovation in data engineering to support Hinge's evolving business needs. 10+ years of experience in Data Engineering or a related field, with at least 4 years in engineering management leading high-performing teams. Demonstrated expertise in developing and maintaining scalable, reliable, and high-quality data products and pipelines that support business-critical analytics, experimentation, and AI/ML workloads. Experienced at building and managing data pipelines that hydrate online ML features. Deep expertise with modern data engineering technologies, including Kafka, Spark, dbt, Airflow, Databricks, and cloud-based data platforms (AWS, GCP, or Azure). Strong familiarity with modern cloud-native architectures and infrastructure, ensuring efficient, secure, and cost-effective data solutions. Strategic technical leadership with a proven ability to align data engineering strategies with product and business objectives, driving initiatives that exceed business goals. Passion for developing, coaching, and scaling high-performing teams, fostering a culture of growth, inclusivity, and operational excellence. Exceptional communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders, ensuring clarity and alignment across teams. Highly motivated, proactive and collaborative team player with the ability to persuade others and influence outcomes.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/27320603", "isPrivate": false}, {"id": 27432464, "name": "Product Marketing Manager", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Marketing", "t_update": 1745557290, "t_create": 1740758422, "ats_job_id": "127c16d5-efec-4bde-93e7-6044932d88cd", "display_job_id": "R0004239", "type": "ATS", "id_locale": "R0004239-en", "job_description": "Drive Strategic Go-to-Market Execution: Develop and execute comprehensive go-to-market plans for new features, ensuring alignment with overall product and company objectives. Craft Cohesive Consumer Narratives: Identify larger stories and connect multiple feature launches for a clear, compelling market position. Lead End-to-End Launch Management: Oversee the end-to-end process of marketing feature launches. Clearly define marketing needs and coordinate various parts of the marketing organization to execute against those needs. Develop Insight-Driven Creative Briefs: Develop and deliver clear and thoughtful strategic and channel briefs that lead to effective and best in class messaging and creative that is consistent across marketing and product surfaces. Be a Key Partner to the Product Team: Share actionable insights and learnings to shape future product development and marketing strategies. Cross-Functional Team Player: Work closely with designers, product managers, and other cross-functional leads during feature scoping and go-to-market planning to ensure we are testing, measuring, and optimizing upon and beyond feature launch for key audiences. Optimize Feature Success Beyond Launch: Partner with design, product, and marketing teams to test, measure, and refine strategies for key audiences beyond the initial launch. Build and Maintain a Messaging Hub for Marketing Partners: Build a knowledge base of messaging and creative assets for teams to leverage across marketing channels. 4+ years of product marketing experience with a proven track record of successfully driving go-to-market launches. Project Management: Experience and success in managing cross-functional teams to bring products and features to market. Demonstrated ability to create detailed and actionable Product Briefs Strong interpersonal skills and communication capabilities with the ability to work across both highly technical and highly creative teams A highly self-motivated action-oriented operator. No task is too small. Familiarity with both acquisition and engagement data; ability to take data and turn into insights to inform future plans", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/27432464", "isPrivate": false}, {"id": 28106013, "name": "Senior Product Designer, Trust & Safety", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Product", "t_update": 1745557290, "t_create": 1743692626, "ats_job_id": "dbbaf008-40a5-41ee-863f-d80960ba94c8", "display_job_id": "dbbaf008-40a5-41ee-863f-d80960ba94c8", "type": "ATS", "id_locale": "2764197248642732895-en", "job_description": "Lead the end-to-end design process\u2014from discovery and ideation to prototyping, testing, and final specs\u2014on features and enhancements across our T&S internal tools suite Partner with Research to plan user research, synthesize findings, and validate design solutions (e.g., interviews, contextual inquiry, usability testing) Translate research, operational requirements, and policies into clear user flows, wireframes, journey maps, and high-fidelity prototypes Design efficient interfaces for high-volume workflows, data-heavy analysis, and critical decision-making Collaborate closely with Product, Engineering, Operations, Policy, Data Science, and Legal throughout the development lifecycle Help establish a design system and component library for Internal Tools Advocate for the needs of internal users and influence product prioritization Leverage tool usage data and qualitative feedback to identify improvements and track design impact Partner with adjacent designers across T&S to align on shared patterns and collaborate on key initiatives Own and drive the design roadmap for the Internal Tools workstream 5+ years of experience delivering end-to-end product design (UX/UI) for complex web applications A portfolio that showcases systems thinking, user-centered design, and iterative improvement in internal tools, enterprise software, or other web-based applications. Experience partnering with Research to inform and validate design decisions Strong collaboration with Product and Engineering in agile environments Comfortable facilitating collaborative workshops (e.g., journey mapping, design sprints) Core Design Proficiency: Expertise across the product design lifecycle: research synthesis, IA, interaction design, visual design, prototyping, and usability testing Complex Problem Solving: Ability to solve complex operational problems with elegant and efficient solutions Tooling: Proficiency in Figma and other modern design/prototyping tools Communication & Collaboration: Strong communication and stakeholder management skills Visual Craft & Design Systems: Detail-oriented visual craft and familiarity with developing re-usable UI components and other design systems elements. Mindset: Empathetic, adaptable, and comfortable with ambiguity", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/28106013", "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": 1745557290, "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. 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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. 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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. 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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. 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