Match Group jobs in new york new york

{"domain": "gotinder.com", "user": "", "isWillingToRelocate": false, "isUserAuthenticated": false, "isUserETXCandidate": false, "isDomainETX": false, "isDomainVeteran": false, "signUpConfig": {}, "getHelpButton": {}, "isCareerPlannerEnabled": false, "enableRememberMeOption": false, "isMyApplicationsEnabled": false, "showVeteranEmployerSignUp": false, "enableUserPreferenceSelection": false, "isUserPreferenceApplied": false, "candidate": {"enc_id": 0, "fullname": "", "firstname": "", "lastname": "", "skills": [], "email": "", "phone": "", "location": "", "filename": null, "starred_positions": [], "resumeUrl": "", "onboardingCompleted": false, "isUserInPcsIjp": false, "linkedinUrl": ""}, "branding": {"enableTalentNetwork": 0, "favicons": {"favicon": "https://static.vscdn.net/images/careers/demo/gotinder/Copy+of+Copy+of+MatchGroup_Icon_2020+NEW.png"}, "homePageHeroBanner": {"opacity": 0.95, "image": "https://static.vscdn.net/images/careers/demo/gotinder/1732201438::11-2024banner", "title": ""}, "links": {"videos": [""]}, "privacy": {"text": "By clicking confirm, you acknowledge that Match Group processes data in accordance with the <a href='https://www.match.com/registration/privacystatement.aspx'>Match Group Privacy Notice</a>.", "button": "Confirm", "title": "Data Privacy Policy"}, "navBar": {"opacity": 0.8, "image": "", "link": "https://mtch.com/", "background": "#FFFFFF", "title": ""}, "customContent": {"positionSections": [{"body": "<div style='width: 30%; margin: 0 auto;text-align: center'><a href='https://www.linkedin.com/company/matchgroup/' target='_blank' style='padding: 10px;'><i class='fab fa-linkedin fa-5x'></i></a></div>"}]}, "applyButton": {"color": "#0066FF", "background": "#0066FF"}, "uploadResumeModal": {"disclaimer": "Uploading your resume is not an application for employment but will add you to our talent network to be considered for future opportunities.", "subtitle": "Upload your resume and we'll show you jobs that are the right fit for you.", "title": "We make finding your perfect job as easy as swiping right on your perfect match."}, "companyName": "Match Group", "careersHome": "https://mtch.com/careers", "defaultState": {"pymww": false}, "custom_style": {"font": "https://fonts.googleapis.com/css?family=Open+Sans", "css": ".position-facets .row .facet:nth-child(2) > div > div > h3{font-size:0px} .join-tn-link{color:black !important;} .join-tn-link:hover{background-color:#FFFFFF !important ;color:#0066FF !important;} #EFSmartApplyContainer .navbar a:nth-child(2){font-weight:bold !important;} .position-facets .pillInclude .pillTitle:hover{color: #FFFFFF!important;} .position-facets .pillContainer.pillInclude:hover {border-color:#FFFFFF !important;color:} .position-facets .pillInclude .pillTitle{color: #FFFFFF!important;} .position-facets .pillTitle:hover{color:#0066FF !important;} .position-facets .pillContainer:hover {border-color:#0066FF !important;} .browse-button{font-weight:bold !important;} .upload-resume-modal .dropzone-container .btn{font-weight:bold !important;} .pillTitle.line-clamp.line-clamp-3:hover{border-color:#0066FF !important;} .btn-secondary{color:#FFFFFF !important;} .personalization-bar.personalization-bar-pre-upload {color:black;} .banner-item .banner-item-title{font-size:9pt!important;font-weight:normal;top:6px;right:55px;}html *:not(h1):not(.fa):not(.far):not(.fas):not(.profile-image-container):not(.get-matched-button):not(.fal):not(.fab):not(.footable):not(.fooicon):not(.footable-sort-indicator){font-family: 'Helvetica', 'Arial', sans-serif !important;font-size:11pt!important}.btn-primary{border\u0192-color: #0066FF !important; background: #0066FF !important;color: #0066FF !important} .go-button{color: #FFFFFF !important;border-color: #0066FF !important; background: #0066FF !important; font-weight: bold} .go-button:hover {border-color: #0066FF !important; background: #FFFFFF !important;color: #0066FF !important} .btn-secondary{ border-color: #0066FF !important; background: #0066FF !important;} .btn-secondary:hover {border-color: #0066FF !important; background: #FFFFFF !important;color: #0066FF !important} .position-apply-button{background: #0066FF !important; color: #FFFFFF !important; font-weight: bold} .position-apply-button:hover{border-color: #0066FF !important; color: #0066FF !important; background: #FFFFFF !important;} .job-cart-button {font-weight: bold;!important;color: #FFFFFF !important} .job-cart-button:hover {color: #0066FF !important} .add-to-job-cart-button{border-color: #0066FF !important; background: #FFFFFF !important;color: #0066FF!important} .add-to-job-cart-button:hover{color: #FFFFFF !important ; background: #0066FF !important}.people-card-matches{color: rgb(26, 39, 240) !important}.perk-icon{color: rgb(22, 140, 204) !important} .get-matched-button > span { visibility: hidden; display: none; } .get-matched-button{font-weight: bold;font-size:12pt;color: #FFFFFF !important} .get-matched-button {font-size: 0px!important;} .get-matched-button:after {content: 'Upload Your Resume'; font-size: 12pt;} .get-matched-button:hover {border-color: #0066FF !important; background: #FFFFFF !important;color: #0066FF !important; } .search-results-main-container .position-cards-container .card-selected {border-left-color:#0066FF!important;}.personalization-bar{background-color: #FFFFFF !important}.position-card .position-title{color: #0066FF !important} .jumbotron{font-size: 200px !important}.advanced-options-button{color: #000000 !important}.jumbotron h1{font-size:24pt!important;font-weight:normal!important;margin-top: 70px !important}.position-sub-title, .custom-content-title {font-size:16pt!important;color:#808080!important;}.banner-item img{width:136px;}.banner-item {right:-43px;}.candidate-login-button{color: rgb(237, 9, 21) !important; border-color: #ed0915 !important}.navbar{background: rgba(255, 255, 255, 0) !important}.apply .navbar img { height: 150px !important;color: #2C8CC9 !important} .refer .navbar img { height: 200px !important;} @media(max-width: 768px) { .fixed-top img { margin-top: 50px;} .single-page-mode img { margin-top: 50px;}} .upload-resume-modal .privacy-agreement {width: 470px !important;border-radius: 30px !important; padding: 15px 15px 15px 15px; !important; font-size:9pt !important}.upload-resume-modal .privacy-agreement .btn-sm {border-color: rgb(237, 9, 21) !important} .position-facets .pillTitle {color: #808080 !important} .reset-filters {color: #808080 !important} .btn-text { padding: 7px 20px !important; border: 1px solid #0066FF !important} .pillInclude { background: #0066FF !important} .position-details > div:nth-of-type(4) h1.position-sub-title:before {content: 'Full-Time ';}  .upload-resume-modal .dropzone-container .btn {border-color: #0066FF!important; background: #0066FF!important; color: #FFFFFF !important; font-weight: 400 !important; width: 142px !important;} .upload-resume-modal .dropzone-container .btn:hover {border-color: #0066FF !important;color:#0066FF !important;background: #FFFFFF !important} .upload-resume-modal .privacy-agreement .btn-sm {border-color: #0066FF !important;} .upload-resume-modal .privacy-agreement .btn-primary {color: #0066FF!important; border-color: #0066FF !important;} .upload-resume-modal .privacy-agreement .btn-primary:hover {background: #FFFFFF !important;color: #0066FF !important; border-color: #0066FF !important;} .apply-form .btn-sm { border-color: #0066FF !important;} .apply-form .btn-primary { background-color: #0066FF !important;color: #FFFFFF; } .apply-form .btn-sm:hover {background: #FFFFFF !important;color: #808080!important} .btn-sm.pointer.position-apply-cancel-button { background: #FFFFFF !important;color: #808080 } .btn-primary:hover, .btn-primary:focus, .btn-primary:active, .btn-primary.active, .open .dropdown-toggle.btn-primary, .btn-primary:active:focus, .btn-primary:active:hover, .btn-primary.active:hover, .btn-primary.active:focus {background: #FFFFFF !important; color: #0066FF !important; background-color: #FFFFFF !important; font-weight: 600;  border-color: #0066FF !important;} .btn-secondary:hover, .btn-secondary:focus, .btn-secondary:active, .btn-secondary.active, .open .dropdown-toggle.btn-secondary, .btn-secondary:active:focus, .btn-secondary:active:hover, .btn-secondary.active:hover, .btn-secondary.active:focus { color: #0066FF !important; background-color: #FFFFFF !important; font-weight: 600;  border-color: #0066FF !important; } .navbar .join-tn-link {font-weight: 600; top: -1px !important}.all-positions-header h1 {font-size: 0px !important; margin:0 !important;}.all-positions-header h1:after {content: 'Your strengths, our opportunities \u2013 a perfect match.'; font-size: 32px}.d-inline-block{margin-top:-26px !important;} .panel.pcs-search-panel { background: #1E0F32 !important; color: white; } .card.facets-card { background: #1E0F32; color: white; } .advanced-options-button > p { color: white; } button.reset-filters.btn-text { color: white !important; } .pillContainer { border: 0px none; color: white !important; font-weight: normal; } .position-facets .pillContainer:hover { border: 1px solid white !important; color: white !important; font-weight: normal; } .position-facets .pillTitle {color: white !important;} .pillInclude { border: 1px solid white; font-weight: 600; } .position-facets .pillTitle:hover {color: white !important;} button.go-button { border: 1px solid white !important; } .custom-content-body { text-align: center } div.custom-content-body > div > a:nth-of-type(1) { padding: 0px !important; } .match-bar { visibility: hidden; } #EFSmartApplyContainer .navbar a:nth-child(2) {font-weight: bold !important; color: #0066FF !important;}"}, "hideJobCart": true, "recaptcha_enabled": 0, "showLoggedOutNotificationsPrivacyPolicy": true, "hideEightfoldBranding": false}, "positions": [{"id": 19938972, "name": "Senior Machine Learning Platform Engineer", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1746766890, "t_create": 1704997239, "ats_job_id": "f6d1cdb5-efcd-4c13-bd51-570568138794", "display_job_id": "f6d1cdb5-efcd-4c13-bd51-570568138794", "type": "ATS", "id_locale": "6203985222364177919-en", "job_description": "Own or contribute to technical designs for the feature platform, training platform, serving platform, and underlying operational infrastructure that provides incremental delivery and impact. 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": 1746766890, "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": 25880385, "name": "Senior QA Analyst", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1746766890, "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": 1746766890, "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": 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": 1746766890, "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": 1746766890, "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": 1746766890, "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": 27307528, "name": "Android Engineer", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1746766890, "t_create": 1739912411, "ats_job_id": "40b9977f-aa30-4195-8b21-db5fa8e02365", "display_job_id": "40b9977f-aa30-4195-8b21-db5fa8e02365", "type": "ATS", "id_locale": "3836822589601069992-en", "job_description": "Cross-Disciplinary Collaboration: Work closely with a diverse team of developers, designers, and product managers to build features that prioritize high quality and user engagement. 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. 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. Jetpack Compose & Coroutines: Experience with Jetpack Compose and coroutines is a plus.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/27307528", "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": 1746766890, "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": 1746766890, "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}], "debug": {}, "count": 19, "countFilterByMatchScore": null, "location_user": ["new york new york", "remote,United States"], "location_used": "new york new york", "locationInsights": null, "showWizard": 1, "disableLocationSearchDropdown": false, "pcsAutocompleteLocationEnabled": 0, "recommended_star_threshold": 4.0, "mocTitle": null, "fuzzyResultsReturned": false, "query": {"query": "*", "location": "new york new york", "department": [], "skill": [], "seniority": [], "pid": ""}, "userTitles": [], "isThinProfile": false, "veteranProgramDetails": [], "enableTargetedResume": 0, "jobCardConfig": null, "facetDisplaySort": {"skills": "count_desc", "departments": "count_desc", "seniority": "count_desc", "work_location_option": "count_desc", "locations": "count_desc"}, "facets": {"skills": {"Java": 31, "Kubernetes": 24, "Machine Learning": 24, "Python": 24, "PyTorch": 24, "Deployments": 23, "Collaboration": 23, "Docker": 19, "Algorithms": 19, "ML/I": 19, "Communication": 16, "Computer Science": 15, "Dataset": 14, "SQL": 14, "Cross-Functional Collaborations": 14, "Process Improvement": 14, "Coding": 13, "Architecture": 13, "Teamwork": 12, "Infrastructure": 12}, "departments": {"Hinge": 18, "Match Group": 1}, "seniority": {"Mid/Senior": 15, "Entry": 2, "Director": 2}, "work_location_option": {"onsite": 18, "hybrid": 1}, "locations": {"Remote": 999999, "New York, NY, United States": 19}}, "isSubQuery": false, "showBusinessUnitInPositionSidebar": false, "hideDepartment": null, "iframeImplementation": null, "pcsTextConfiguration": {}, "facetNoTitlecase": null, "skipCSSFacetCapitalization": false, "enableMapClustering": false, "readmoreInstructionEnabled": false, "candidateLogin": {"postApplyReviewLink": {"enabled": true, "url": "/api/apply/v2/profile/review/initialize_user?domain=gotinder.com", "title": "What's next? Increase your chances of getting hired!", "message": "Knowing more about you helps us review your application faster. Enrich your profile by adding more skills, awards, and other recognition.", "buttonText": "Review my profile", "verifyEmailTitle": "Let's verify your email", "verifyEmailText": "Click the link in the email to continue reviewing your profile. If you do not immediately see the email, check your spam folder."}}, "isHomePageLoad": false, "candidateBuildProfile": {}, "chatbot": false, "enabledPersonalizedFeatures": {"recommendationFeedback": false, "tldr": false, "personalizationPreferences": false}, "installed_app_data": [], "enhancementsEnabled": false, "disableAutoScrollOnPositionSelect": false, "locationDistanceKmDefault": 100, "searchFiltersTranslationWhitelist": [], "customJobDescTranslationSkipList": [], "enableCandidateReferralFlow": false, "showBanner": false, "pcsBannerMessage": null, "locationRadiusConfig": {"showLocationRadius": false, "locationRadiusType": "mi"}, "pcsApplyFormV2Enabled": false, "isPcsBrandingApril2023Enabled": false, "allowedFileTypes": {}, "pcsOctupleMigration0Enabled": true, "pcsOctupleMigration1Enabled": false, "replaceUrlOnGoBack": true, "pcsRedesignedNuxEnabled": true, "userActivityTimeout": 86400000, "userActivityTimeoutEnabled": 1, "isLoggedInPcsEnabled": false, "sortByConfig": null, "searchBoxConfig": {}, "excludePrivatePositions": true, "eeocFilterKeywords": ["veteran", "disability", "gender", "race", "citizen", "visa", "ethnicity"], "disableScrollLoadPositionSidebar": false, "locationFlexibilityFrontendEnabled": false, "workLocationOptionFrontendEnabled": true, "remoteFlexibleJobsFilterEnabled": false, "loggedOutNotificationsEnabled": true, "prepopulateApplyFormEnabled": true, "prepopulateSettings": {"prepopulateCheckboxText": "Save my answers for future applications", "showPrepopulateCheckbox": false}, "themeBuilderUser": null, "mandatoryFields": ["firstname", "lastname", "email", "phone"], "blindfoldWidgetPcsGate": false, "pcsApplyFormLocationGate": false, "t3sEnabled": false, "uploadApplicationAnswers": false, "candidateAuthV2Enabled": true, "preApplicationSubmitAuthEnabled": false, "applyFormV2Enabled": false, "loggedOutSavedSearchEnabled": false, "locationRadiusTypeToggleEnabled": true, "incompleteApplicationsEnabled": false, "incompleteApplicationConfig": {}, "fallbackPcsJdGate": true, "enableResumeCoach": false, "isPcsEnabled": true, "applicationInfoReviewEnabled": false, "phoneWithCountryCodeEnabled": true, "phoneWithCountryCodeJTNEnabled": false, "notificationSuggestVerificationToken": null, "cookiesAutoDisabled": false, "strictEmailValidationEnabled": true, "chatbotxConfig": {"enabled": false, "featureAccessFlags": {"resumeCoachCardFlags": {"showApplyWithResume": true, "showEditResume": true}, "positionCardFlags": {"showAddToJobCart": false}}}, "pcsOptionalResumeWithJobcartGate": false, "loggedInCandidate": {}, "hamburgerMenuEnabled": false, "sharedTalentPoolGate": false, "pcsAccessibilityHomeEnabled": true, "pcsAccessibilityApplyFormEnabled": true, "showLanguageDropdown": false, "languages": [{"value": "en", "title": "English"}, {"value": "it", "title": "Italiano"}, {"value": "es", "title": "Espa\u00f1ol"}, {"value": "fr", "title": "Fran\u00e7ais"}, {"value": "pt", "title": "Portugu\u00eas"}, {"value": "nb", "title": "Norsk"}, {"value": "de", "title": "Deutsch"}, {"value": "ja", "title": "\u65e5\u672c\u8a9e"}, {"value": "ms", "title": "Bahasa melayu"}, {"value": "zh-CN", "title": "\u4e2d\u6587 (\u7b80\u4f53)"}, {"value": "zh-TW", "title": "\u4e2d\u6587 (\u7e41\u9ad4)"}, {"value": "ko", "title": "\ud55c\uad6d\uc5b4"}, {"value": "th", "title": "\u0e20\u0e32\u0e29\u0e32\u0e44\u0e17\u0e22"}, {"value": "nl", "title": "Nederlands"}, {"value": "pl", "title": "Polski"}, {"value": "uk", "title": "Y\u043a\u0440\u0430\u0457\u043d\u0441\u044c\u043a\u0430"}, {"value": "hr", "title": "Hrvatski"}, {"value": "el", "title": "\u0395\u03bb\u03bb\u03b7\u03bd\u03b9\u03ba\u03ac"}, {"value": "hu", "title": "Magyar"}, {"value": "cs", "title": "\u010de\u0161tina"}, {"value": "tr", "title": "T\u00fcrk\u00e7e"}, {"value": "ru", "title": "P\u0443\u0441\u0441\u043a\u0438\u0439"}, {"value": "ht", "title": "Haitian"}, {"value": "he", "title": "\u05e2\u05d1\u05e8\u05d9\u05ea"}, {"value": "pt-BR", "title": "Brazilian Portugu\u00eas"}, {"value": "da", "title": "Dansk"}, {"value": "fi", "title": "Suomi"}, {"value": "sv", "title": "Svenska"}, {"value": "fr-CA", "title": "Fran\u00e7ais (Canada)"}, {"value": "pt-PT", "title": "portugu\u00eas (Portugal)"}, {"value": "vi", "title": "Ti\u1ebfng Vi\u1ec7t"}, {"value": "ro", "title": "rom\u00e2n\u0103"}, {"value": "bg", "title": "\u0431\u044a\u043b\u0433\u0430\u0440\u0441\u043a\u0438"}, {"value": "ar", "title": "\u0627\u0644\u0639\u0631\u0628\u064a\u0629"}], "displayLanguage": "en", "requestLocation": false, "positionQnAEnabled": false, "singlePageCareersNavbarGate": false, "advancedOptionsA11yGate": false, "positionSidebarScrollResetGate": false, "pcsApplyFormFileAnswerGate": false, "all_applicable_locations": []}