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": 38376853, "name": "Manager, Corporate Development", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Match Group", "business_unit": "Finance", "t_update": 1762578078, "t_create": 1759514750, "ats_job_id": "9c1bb222-3909-4be7-8977-3d0d7358aab9", "display_job_id": "R0004554", "type": "ATS", "id_locale": "R0004554-en", "job_description": "Support the end-to-end M&A and investment process, including opportunity evaluation, valuation, diligence, and deal execution. Prepare investment memos and strategic presentations for senior leadership and the Board of Directors. Collaborate with internal teams to assess strategic opportunities and build relationships with emerging and established companies Assist in the negotiation of key transaction terms and review of definitive documentation. Work closely with Executive, Finance and Business Unit leadership in inorganic strategy formulation, deal sourcing and origination, financial analysis and valuation, negotiation and execution Deliver successfully on multiple initiatives in a highly dynamic environment, while calm under pressure 3+ years of experience in investment banking (preferably M&A or Tech), private equity, venture capital, or corporate development. Bachelor's degree required (Finance, Economics, Business, or related field). MBA is a plus, but not required. Strong expertise in financial modeling and strategic analysis in transactional environments. Exceptional communication skills \u2014 both verbal and written \u2014 with the ability to distill complex ideas into clear, actionable insights. High attention to detail, intellectual curiosity, and sound judgment. A collaborative and proactive mindset; thrives in lean, fast-paced, and high-performance environments. Expert-level proficiency in Excel and PowerPoint; familiarity with tools like SensorTower, FactSet, PitchBook, or Tableau is a plus. Interest or experience in the consumer internet, technology / media, or mobile app sectors is highly preferred. Willingness to travel and ability to manage shifting priorities as needed.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/38376853", "isPrivate": false}, {"id": 38762858, "name": "Marketing Analytics Lead", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Marketing", "t_update": 1762578078, "t_create": 1762463945, "ats_job_id": "c4a3e371-5cb2-4877-99b8-3a3f95c0be48", "display_job_id": "c4a3e371-5cb2-4877-99b8-3a3f95c0be48", "type": "ATS", "id_locale": "9209994103405261648-en", "job_description": "Own the executive view of performance Build and maintain executive-ready dashboards/scorecards by market, objective, and channel (spend, reach, efficiency, brand health and brand lift). Set the agenda, build the pack, and facilitate the monthly discussion with the VP and Directors. Present regional, country, strategy and and channel-level trends; explain actual vs. forecast variance, drivers, risks, and opportunities. Recommend reallocation scenarios across campaigns/channels; track decision follow-through. Prepare/share clean inputs for MMM and incrementality; ensure data fidelity and methodological consistency. Support the VP, Global Marketing in \u201cstate of the business\u201d reviews across geographies. Serve as the Global Marketing analytics point-of-contact with Match Group central analytics teams and external partners. Collaborate with Data Engineering/Analytics to QA pipelines and keep decision-grade data flowing. 7-10+ years in marketing/media analytics (consumer subscription or mobile/app experience a plus). Strong BI skills (Looker/Tableau/Data Studio); working fluency in Python/R for analysis and scenario modeling. Hands-on experience supporting MMM and incrementality/geo tests; proven ability to convert model outputs into budget decisions. Fluency with brand-lift methodologies and brand equity tracking (e.g., QuestBrand, YouGov, Ipsos) and how to integrate with performance KPIs. Executive presence: succinct storytelling, meeting facilitation, and stakeholder management across senior audiences. Data rigor: taxonomy design, QA habits, comfort with ambiguity, and bias to action. Familiarity with privacy-aware measurement and mobile attribution (e.g., AppsFlyer/Adjust) is a plus.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/38762858", "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": 1762578078, "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": 28948544, "name": "Senior Data Scientist, Growth", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1762578078, "t_create": 1746026132, "ats_job_id": "aeeb9838-ebdb-4a4b-8dec-abbbfd581b8b", "display_job_id": "R0004615", "type": "ATS", "id_locale": "R0004615-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) 5+ 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 Excellent collaboration skills and a track record of cross-functional influence", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/28948544", "isPrivate": false}, {"id": 38473810, "name": "Senior Lead Designer, Trust & Safety", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Trust & Safety", "t_update": 1762578078, "t_create": 1760103747, "ats_job_id": "906accc2-8f74-439d-b323-575037d0446b", "display_job_id": "906accc2-8f74-439d-b323-575037d0446b", "type": "ATS", "id_locale": "8904571691129472697-en", "job_description": "Lead mission critical design projects from discovery through launch across multiple product teams. Rapidly unpack ambiguous problem spaces and synthesize insights into bold, effective design solutions. Translate strategic direction into exceptional user flows, prototypes and final UI. 8+ years in product design, with a track record of leading complex initiatives and setting a high bar for quality. Your experience should demonstrate expert product thinking in solving challenging user problems, especially those involving nuanced social dynamics. Prior success leading design in fast paced consumer mobile environments (social, wellness, community, or similar preferred). A portfolio that demonstrates exceptional systems thinking, user-centered design in sensitive problem spaces, strategic problem solving, and the ability to deliver innovative design solutions. Proven ability to develop and drive design vision and strategy that has influenced product roadmaps and business outcomes. Advanced proficiency in Figma, prototyping tools and design systems. Deep expertise across the product design lifecycle: research synthesis, IA, visual design, prototyping and testing. Strength in workshop facilitation, stakeholder management and executive communication. Sharp understanding of design systems and accessibility best practices. Recognized subject matter expert with a calm, empathetic and adaptable leadership style. Strong cross-functional instincts\u2014able to jump into new teams and align diverse stakeholders with clarity and confidence. Passionate about helping others grow and contributing to a high-functioning, joyful design culture. Experience designing for Trust & Safety contexts, user identity, or building trust mechanics in a consumer product. Work in dating, social or emotionally nuanced domains. Experience with AI or advanced prototyping workflows. Active contributor to the design community through writing, speaking, or mentorship. Work closely with a team of Product, Engineering, Research, Data Science, Operations, and Policy partners to define vision, build consensus, and deliver measurable outcomes.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/38473810", "isPrivate": false}, {"id": 38635885, "name": "Insights & Strategy Operations Lead", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Marketing", "t_update": 1762578078, "t_create": 1761602968, "ats_job_id": "7fdc847d-e970-4f1b-93ea-ee03456bdb23", "display_job_id": "R0004627", "type": "ATS", "id_locale": "R0004627-en", "job_description": "Operational Leadership: Lead the planning and delivery of the team's work, bringing clarity to priorities, timelines, and deliverables so projects move smoothly from idea to impact. Budget Ownership: Oversee the Insights & Strategy budget, track spend, and guide investment decisions across research, partnerships, and tools. Resource & Capacity Planning: Partner with Insights & Strategy leadership to plan team bandwidth and resourcing, keeping the group focused on the highest-impact work. Agency and Vendor Management: Lead day-to-day relationships with external research and strategy partners, from scoping and contracting to ways of working. Partner with Legal and Procurement on contracts and compliance. In-House Research Operations: Scope and manage custom, in-house research projects from start to finish, ensuring rigor in methodology, compliance, recruitment, and cross-functional alignment. Strategic Planning & Roadmap Design: Partner with Insights & Strategy leadership on annual and quarterly planning. Determine what work should be done in-house vs. with external partners, sequence priorities thoughtfully, and keep the team focused on what matters most. Insight Activation: Create engaging ways to share insights across Hinge \u2014 from leadership sessions to company-wide moments \u2014 turning understanding into action. Systems & Continuous Improvement: Refine the tools, processes, and documentation that keep work transparent and effective. Make it easier for the team to see progress, learn from outcomes, and celebrate impact. Operational : 8+ years in operations, project management, or strategy roles \u2014 ideally within marketing, research, or insights \u2014 with a proven experience managing complex, multi-stakeholder initiatives from brief to delivery. Collaborative Strategist: A systems thinker and problem-solver who partners closely with researchers, strategists, and marketers to turn insight into action and bring structure to creativity. Mission-Driven: Passionate about Hinge's mission to inspire intimate connection and create a less lonely world. Experience with research and strategy teams or agencies. Familiarity with tools like Asana or Monday.com. Comfortable partnering with senior leadership and influencing decision-makers; experience working with C-suite leaders is a plus.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/38635885", "isPrivate": false}, {"id": 29062284, "name": "Staff Machine Learning Engineer, Growth", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1762578078, "t_create": 1746481441, "ats_job_id": "9638198d-e429-4945-802c-9c470e1ac692", "display_job_id": "R0004387", "type": "ATS", "id_locale": "R0004387-en", "job_description": "Lead the end-to-end development of production-grade ML systems such as user targeting models that will help drive engagement, improve dating outcomes and/or improve user adoption of and engagement with paid features Define and own the technical roadmap for ML within your product area and align with company-wide priorities 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 Design, advocate, and implement for availability, scalability, operational excellence, and cost management while delivering impact to our daters incrementally Keep abreast of and bring to Hinge applicable cutting-edge research, technologies, and best practices in the ML/AI space. Mentor and educate ML Engineers on current and up and coming research, technologies and best practices of doing ML at scale. Ensure the ethical and responsible use of ML/AI and compliance with privacy regulations to protect user data Communicate effectively to audiences of various technical and non-technical backgrounds Strong programming skills: Proficiency in Python and ML libraries such as PyTorch Domain expertise: Deep understanding of machine learning, deep learning, and emerging AI technologies. Proven track record of building, debugging, and fine-tuning machine learning for user facing products. Experience with causal inference, uplift modeling, and interventional data collection is a plus. System design & architecture: Strong background in setting up and optimizing ML infrastructure, including containerization (Docker), orchestration (Kubernetes), and CI/CD workflows for ML (e.g., model versioning, automated testing). Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with ML serving solutions like Ray, KubeFlow, or Weights & Biases is a plus. Data engineering knowledge: Skills in handling and managing large datasets including data cleaning, preprocessing, and storage. Good understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow. Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds.. Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes. 5+ years of experience, depending on education, as an MLE, with at least 2 years in a senior or staff-level role Previous experience in User Growth or Monetization 3+ years of experience designing and developing end-to-end, production grade ML systems 4+ years of experience working in a cloud environment such as GCP, AWS, Azure 3+ years of experience leading projects with at least 1 other team member through completion. A degree in computer science, engineering, or a related field or equivalent experience.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/29062284", "isPrivate": false}, {"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": 1762578078, "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": 30664631, "name": "Software Engineer III, Cloud Infrastructure", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Tinder", "business_unit": "Engineering", "t_update": 1762578078, "t_create": 1754613134, "ats_job_id": "d59f606c-b3f6-4ae2-bacd-51b179beda56", "display_job_id": "d59f606c-b3f6-4ae2-bacd-51b179beda56", "type": "ATS", "id_locale": "2471036456304226464-en", "job_description": "Our Mission Launched in 2012, Tinder\u00ae revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, \u201cIt Starts with a Swipe\u201d\u2122\" Our Values One Team, One Dream We work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission. Own It We take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence. Never Stop Learning We cultivate a culture where it's safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving. Spark Solutions We're problem solvers, focusing on how to best move forward when faced with obstacles. We don't dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals. Embrace Our Differences We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team. As part of the Cloud Infrastructure team at Tinder, you'll have the opportunity to make a meaningful impact on the systems that support hundreds of millions of active users each month. We're a relatively small, tight-knit group of curious and pragmatic software engineers who are passionate about automation, scalability, and empowering product engineering teams with the tools they need to build efficiently at scale. We're looking for a seasoned, passionate, and curious software engineer, someone who thrives in both collaborative environments and autonomous work. You're eager to learn, open to exploring new technologies, and ready to bring your own expertise to help shape the future of Tinder's infrastructure. If you love solving complex problems and take pride in building robust, high-performant systems, we'd love to meet you. In this role, you will have the opportunity to: Work on a high impact, greenfield projectBuild highly reliable software solutions Work on a cutting edge Kubernetes and Envoy service-mesh stack Collaborate with various technical and functional teams across our company Own all aspects of software engineering and product development Participate in architecture, design, and code reviews Recruit, encourage and develop other team members What we're looking for: 3-5+ years of software development experience 1-2+ years of experience with AWS, GCP, Azure or other cloud providers Strong communication skills and a passion to drive projects from start to finish Good experience with backend languages like Python, Go and Java Excellent knowledge of Computer Science fundamentals, with strong competencies in data structures, algorithms and software design $ 160000- $170000 a year The salary range for this position is $160,000 - $170,000. Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in Los Angeles, CA. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting. Commitment to Inclusion At Tinder, we don't just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don't meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here: https://www.lifeattinder.com/dei If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly. Tinder", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/30664631", "isPrivate": false}, {"id": 38023404, "name": "Senior iOS Engineer", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1762578078, "t_create": 1758052251, "ats_job_id": "81717593-d79d-4287-b5d6-6ad43a48bc4f", "display_job_id": "R0004632", "type": "ATS", "id_locale": "R0004632-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.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/38023404", "isPrivate": false}], "debug": {}, "count": 10, "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": "match group", "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": {"Strategy": 31, "Python": 24, "Algorithms": 24, "Machine Learning": 22, "Dataset": 19, "Natural Language Processing": 19, "Tableau": 16, "Deployments": 16, "Stakeholder Management": 15, "Docker": 15, "PyTorch": 15, "SQL": 15, "ML/I": 15, "Java": 14, "Kubernetes": 13, "Deep Learning": 12, "Git": 12, "Architecture": 11, "Collaboration": 11, "Corporate Development": 10}, "departments": {"Hinge": 8, "Match Group": 1, "Tinder": 1}, "seniority": {"Mid/Senior": 9, "Entry": 1}, "work_location_option": {"onsite": 10}, "locations": {"Remote": 999999, "New York, NY, United States": 10}}, "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"}, {"value": "es-419", "title": "Espa\u00f1ol (Latinoam\u00e9rica)"}, {"value": "sk", "title": "Sloven\u010dina"}, {"value": "id", "title": "Bahasa Indonesia"}], "displayLanguage": "en", "requestLocation": false, "positionQnAEnabled": false, "singlePageCareersNavbarGate": false, "advancedOptionsA11yGate": false, "positionSidebarScrollResetGate": false, "pcsApplyFormFileAnswerGate": false, "all_applicable_locations": []}