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": 27945134, "name": "Senior Director, Corporate Communications", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Match Group", "business_unit": "Communications", "t_update": 1751432578, "t_create": 1742841562, "ats_job_id": "88c92ed6-82b7-4cd6-a864-2b97200c3b14", "display_job_id": "R0004253", "type": "ATS", "id_locale": "R0004253-en", "job_description": "Match Group is seeking a Senior Director of Corporate Communications to lead strategic communications across business, financial, and executive initiatives. This role will focus on shaping the company's corporate narrative, managing media relations, and enhancing executive visibility. The ideal candidate is a strategic communicator with deep expertise in corporate affairs, financial communications, and reputation management. Know where you belong. Match Group is a leading provider of dating services across the globe. Our portfolio includes Tinder, Match, Hinge, PlentyOfFish, The League, and others, each designed to spark meaningful connections for singles worldwide. Creating a sense of belonging doesn't stop at our platforms - it's the foundation of every team we hire. When it comes to dating, the connection starts online, but the real magic happens once you meet in real life (IRL). We think the same is true for creating the best platforms, so we work together IRL in our New York City office 3 days/week. How you'll make an impact: You will develop and execute business and financial communications strategies to enhance Match Group's reputation among investors, media, and key stakeholders. You will lead executive communications, including thought leadership content, messaging, and media preparation for senior leaders. You will manage corporate media relations, cultivating strong relationships with business and financial journalists to drive impactful coverage. You will oversee financial communications efforts, including earnings messaging, investor communications, and market-moving announcements. You will collaborate with legal and investor relations teams to translate complex business issues into clear, compelling messaging. You will support crisis and issues management, ensuring the company's position is effectively communicated in high-stakes situations. We could be a match if: You have strong media relations experience, particularly with top-tier business and financial press. You have 10+ years of experience in business, financial, and executive communications, ideally within a publicly traded company and/or a consumer technology company. You have exceptional writing and messaging skills, with the ability to craft compelling narratives around business performance, strategy, and market positioning. You have a deep understanding of financial communications, including earnings cycles, investor relations, and public markets. You have experience advising and preparing C-level executives for media engagements, investor meetings, and public appearances. You have the ability to work independently and manage high-profile, complex, and sensitive issues with discretion and strategic judgment. An advanced degree in a related field (e.g., Business, Finance) is a plus. $ 210000- $250000 a year Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of New York, NY. 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. LI- LH1 Why Match Group? Our mission is simple - to help people find love and happiness! We love our employees too and understand the importance of all life's milestones. Here are some of the benefits we are proud to offer: Mind & Body - Medical, mental health, and wellness benefits to support your overall health and well-being Financial Wellness - Competitive compensation, 100% employer match on 401k contributions up to 10% (cap at $10,000), as well as an employee stock purchase program to help you feel supported in your financial security Unplug - Generous PTO and 18 paid holidays so you can unplug Career - Annual training allowance for professional development and ERG membership opportunities and events so you feel connected and empowered in your work Family - Families come in all shapes and sizes so we offer 20 weeks of 100% paid parental leave, fertility, adoption, and child care resources, as well as pet insurance and discounts Company Gatherings - We host fun happy hours and company events where our employees get to know each other and build a sense of connection and belonging! We are proud to be an equal opportunity employer and we value the rich dynamics that diversity brings to our company. We do not discriminate on the basis of race, religion, color, creed, national origin, ancestry, disability, marital status, age, sexual orientation, sex (including pregnancy and sexual harassment), gender identity or expression, uniformed service or veteran status, genetic information, or any other legally protected characteristic. Period. If you require a reasonable accommodation to participate in the hiring process \u2014 such as during pre-employment testing or interviews \u2014 please indicate this by selecting \u201cYes\u201d in the accommodation request field. We'll reach out to discuss your needs if you're selected for the interview stage. MG", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/27945134", "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": 1751432578, "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": 27677208, "name": "Senior Machine Learning Engineer, Dating Outcomes", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1751432578, "t_create": 1741620461, "ats_job_id": "1b940858-1469-44fe-9625-1b33c29f9717", "display_job_id": "R0004256", "type": "ATS", "id_locale": "R0004256-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/27677208", "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": 1751432578, "t_create": 1746481441, "ats_job_id": "9638198d-e429-4945-802c-9c470e1ac692", "display_job_id": "9638198d-e429-4945-802c-9c470e1ac692", "type": "ATS", "id_locale": "4808491044942726365-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": 28948544, "name": "Senior Data Scientist", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1751432578, "t_create": 1746026132, "ats_job_id": "aeeb9838-ebdb-4a4b-8dec-abbbfd581b8b", "display_job_id": "aeeb9838-ebdb-4a4b-8dec-abbbfd581b8b", "type": "ATS", "id_locale": "6641719287863074600-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": 19920639, "name": "Senior Machine Learning Engineer, Growth", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1751432578, "t_create": 1704920293, "ats_job_id": "cc9bba44-65fd-43c4-bb19-2dd9a34f62c4", "display_job_id": "R0004268", "type": "ATS", "id_locale": "R0004268-en", "job_description": "Develop and deploy targeting and timing models that underlie a smart notifications system that guides and influences user behavior to improve dating outcomes. Improve user engagement with notifications by optimizing for relevancy and personalizing for responsiveness. Design, advocate, and implement for availability, scalability, operational excellence, and cost management while delivering impact to our daters. Keep abreast of and bring to Hinge applicable cutting-edge research, technologies, and best practices in the ML/AI space. 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. Proficiency in languages like Python, Java, or C++ Domain expertise: Deep understanding of machine learning model architectures, DNN experience a big plus. Proven track record of building, debugging, and fine-tuning machine learning models for user facing products. System design & architecture: Experience training and deploying large scale ML models especially 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 Ray, KubeFlow, or Weights & Biases is a plus. 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 as an MLE, previous experience in User Growth or Monetization is preferred. 2+ years of experience working on a cloud environment such as GCP, AWS, or Azure. 2+ years of experience designing and developing online and production grade ML systems. 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/19920639", "isPrivate": false}, {"id": 27719252, "name": "Staff Machine Learning Platform Engineer", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1751432578, "t_create": 1741811827, "ats_job_id": "9ae78f81-e838-4116-9852-07c6c5a6a051", "display_job_id": "R0004338", "type": "ATS", "id_locale": "R0004338-en", "job_description": "Define the long-term, holistic roadmap for the Feature Store platform, aligning it with company-wide ML initiatives and ensuring end-to-end integration with model training, serving and observability platforms. Evaluate and introduce new technologies, tools and best practices that enhance feature serving reliability, scalability, cost efficiency and throughput, including leading build vs buy discussions. Architect, build, and maintain frameworks enabling MLEs for self service data ingestion and serving pipelines for both offline (batch, async) and online (low-latency) feature stores. Partner with cross-functional Platform teams to represent feature engineering requirements and incorporate them into Hinge's wider Platform capabilities. Collaborate closely with ML Engineers, Data Scientists, and Product Managers to understand the ML development lifecycle and identify opportunities to accelerate the AI/ML development and deployment process. Mentor and educate ML Engineers and Data Scientists on current and up and coming methods, tools and technologies for Feature Engineering. Help design and architect an AI platform that adheres to the principles of responsible AI and simplifies privacy compliance. 5+ years of experience, depending on education, as an ML Platform Engineer, Data Engineer, or Platform Engineer developing and working with large scale, complex data processing and or warehousing systems. 4+ years of experience working on a cloud environment such as GCP, AWS, Azure, and with dev-ops tooling such as Kubernetes 3+ years of experience leading projects with at least 2 other team members through completion. 2+ years of experience for Staff designing and developing online and production grade ML Feature Store systems. A degree in computer science, engineering, or a related field. Strong programming skills: Proficiency in languages like Python, Go, or Java. System design & architecture: Ability to design scalable and efficient ML systems, particularly data intensive systems. Data engineering expertise: Skills in handling and managing large streaming data processing systems and formats (parquet, json, protobuf, delta) including data cleaning, preprocessing and storage systems. Feature Store Platform technology skills: The ability to establish and use Feature Store platforms such as Databricks, Feast, Tecton, Hopsworks, Ray, and/or similar. Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. ML knowledge: Broad awareness of the entire ML lifecycle, including the data needs for training, serving and evaluation. Communication skills: The ability to communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds through documentation, RFCs and presentations. Software leadership skills: A track record of leading projects with multiple contributors and stakeholders through completion with quantifiable and measurable outcomes. Strategic leadership skills: Demonstrated technical leadership experience in aligning platform strategy with product and business objectives.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/27719252", "isPrivate": false}, {"id": 29940627, "name": "Staff Software Engineer, Backend", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Tinder", "business_unit": "Engineering", "t_update": 1751432578, "t_create": 1751051438, "ats_job_id": "6272206c-79dc-43be-ac0f-78a4de3bd735", "display_job_id": "6272206c-79dc-43be-ac0f-78a4de3bd735", "type": "ATS", "id_locale": "7209722918421374064-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. The Engineering team is responsible for building innovative features and resilient systems that bring people together. We're always experimenting with new features to engage with our members. Although we are a high-scale tech company, the member-to-engineer ratio is very high\u2014making the level of impact each engineer gets to have at Tinder enormous. As a Staff Backend Engineer at Tinder, you will have an outsized impact and ownership of the most visible aspects of the Tinder App. We are deeply invested in challenging norms, constantly improving architecture design, exploring emergent tech and ideas, and leveraging new technologies in interesting ways to deliver an app that is widely known the world over. In this role, you will: Design, develop and operate scalable and resilient distributed services that run on Kubernetes or ECS Collaborate with various functional teams across Tinder on the expansion of our service platform Influence the team roadmap and product development Recruit, encourage, and develop other team members You'll need: Excellent knowledge and experience with a backend language like Java, Node.js, Go, C++ BS/MS in Computer Science or an equivalent field with 5+ years of industry work experience Excellent knowledge of Computer Science fundamentals with strong competencies in data structures, algorithms, and coding Strong designing and building distributed backend systems handling high volumes of traffic Experience in handling ambiguous business requirements with excellent prioritization, time management abilities, and a focus on execution $ 235000- $255000 a year The salary range for this position is $235,000 - $255,000. 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 New York, New York. 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/29940627", "isPrivate": false}], "debug": {}, "count": 8, "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": {"Python": 42, "Machine Learning": 39, "Algorithms": 38, "PyTorch": 33, "Docker": 31, "Kubernetes": 31, "Deployments": 28, "Dataset": 27, "Natural Language Processing": 27, "Artificial Intelligence": 25, "ML/I": 24, "Architecture": 24, "TensorFlow": 24, "Deep Learning": 21, "Clustering": 21, "Pandas": 18, "Computer Vision": 17, "Java": 17, "SQL": 15, "Numpy": 14}, "departments": {"Hinge": 6, "Match Group": 1, "Tinder": 1}, "seniority": {"Mid/Senior": 6, "Entry": 1, "Director": 1}, "work_location_option": {"onsite": 8}, "locations": {"Remote": 999999, "New York, NY, United States": 8}}, "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"}], "displayLanguage": "en", "requestLocation": false, "positionQnAEnabled": false, "singlePageCareersNavbarGate": false, "advancedOptionsA11yGate": false, "positionSidebarScrollResetGate": false, "pcsApplyFormFileAnswerGate": false, "all_applicable_locations": []}