Match Group jobs in new york new york

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This role requires strong writing and organizational skills, ability to work under intense deadlines and extensive relationships across the media landscape. Experience in crisis and/or Trust & Safety communications is preferred. To be successful, you will need to be comfortable working independently in a high-paced environment with cross-functional teams spread across various geographies. Know where you belong. Match Group is a leading provider of dating platforms 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 Dallas, LA, or NYC office 2 days/week. How you'll make an impact: You will execute strategic communications campaigns, including developing messaging, drafting media materials and handling pitching/distribution across outlets. You will oversee communications materials including briefing documents, fact sheets and briefing presentations. You will draft press releases, blog posts and other corporate materials. You will coordinate spokesperson training and messaging. You will oversee conferences and speaking opportunities for executives. You will maintain social media editorial calendars for executives. You will participate in ongoing outreach and relationship-building with key media outlets and reporters. You will build and maintain media lists and research documents. You will assist in internal distribution of key media placements, coverage reports and impact metrics. You will function as the first level of response for incoming media inquiries. You will monitor media and update executives on topical issues. You will maintain and organize key team resources, drives and documents. We could be a match if: You have a Bachelor's Degree You have 5+ years of experience working in a media relations or communications role, preferably a combination of agency and in-house. You have the ability to work with teams across various time zones and regions. You have superior research and written/oral communication skills. You have strong knowledge of the media landscape with relationships across key tech/business outlets. You have experience in crisis communications. You thrive in high pressure environments, with strong attention to detail, problem-solving and strategic thinking abilities. You are proficient in MS Outlook, Word, Excel, GDrive and other office programs. $ 112000- $140000 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. The salary range for Los Angeles, CA is $106,000-$127,000. The salary range for Dallas, TX is $100,000-$121,500. For all other locations, this salary may 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 reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please let your Talent Acquisition partner know. MG", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/26795454", "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": 1736917286, "t_create": 1704920293, "ats_job_id": "cc9bba44-65fd-43c4-bb19-2dd9a34f62c4", "display_job_id": "cc9bba44-65fd-43c4-bb19-2dd9a34f62c4", "type": "ATS", "id_locale": "6438892658509713149-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": 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": 1736917286, "t_create": 1704997239, "ats_job_id": "f6d1cdb5-efcd-4c13-bd51-570568138794", "display_job_id": "f6d1cdb5-efcd-4c13-bd51-570568138794", "type": "ATS", "id_locale": "6203985222364177919-en", "job_description": "Own or contribute to technical designs for the feature platform, training platform, serving platform, and underlying operational infrastructure that provides incremental delivery and impact. Develop, maintain, and enhance reusable frameworks for AI/ML model development and deployment while establishing and driving best practices in machine learning engineering and MLOps. Design, advocate, and implement for availability, scalability, operational excellence, and cost management while delivering incrementally. Collaborate closely with ML Engineers, Data Scientists, and Product Managers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process. Mentor and educate ML Engineers and Data Scientists on current and up and coming tools and technologies for ML operations through presentations and documentation. Help design and architect an AI platform that adheres to the principles of responsible AI and simplifies privacy compliance. Lead build vs buy discussions on technologies that would underpin the feature, training, and serving layers. Perform other job-related duties as assigned. 3+ years of experience, depending on education, as an ML, backend, data, or platform engineer developing and working with large scale, complex systems. 2+ years of experience working on a cloud environment such as GCP, AWS, Azure, and with dev-ops tooling such as Kubernetes 1+ year of experience leading projects with at least 1 other team member through completion. 1+ year of experience for Senior designing and developing online and production grade ML systems. A degree in computer science, engineering, or a related field. Strong programming skills: Proficiency in languages like Python, Go, or Java. System design & architecture: Ability to design scalable and efficient ML systems. Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. ML knowledge: A basic understanding of ML algorithms, techniques, and best practices. Data engineering knowledge: Skills in handling and managing large datasets including, data cleaning, preprocessing, and storage Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds.. Strong written communication: The ability to communicate complex ideas and technical knowledge through documentation Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/19938972", "isPrivate": false}, {"id": 20079076, "name": "Machine Learning Engineer", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1736917286, "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": 25426718, "name": "Senior Backend Engineer", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1736917286, "t_create": 1728067457, "ats_job_id": "d50972ac-5f63-4062-bcb3-bd4466d9c594", "display_job_id": "d50972ac-5f63-4062-bcb3-bd4466d9c594", "type": "ATS", "id_locale": "7484753442162559159-en", "job_description": "Design and build RESTful APIs for mobile clients. Taking part in the backend On-Call rotation (1 whole week, every 8-11 weeks). Design and build microservices that run on Kubernetes. Design and build distributed systems in Go, using cloud infrastructure and platform service components. Own the technical design, implementation, and success of their projects. Collaborate effectively with cross-functional partners. Help foster a culture of collaboration and inclusivity. Cultivate a growth mindset. Effectively organize and manage personal workload, tasks, and meetings. 5+ years of industry experience as a backend/service engineer 4+ years of experience working in a cloud environment such as GCP, AWS, Azure. Strong programming skills: Proficiency with Go and Python is a bonus! System design & architecture: A deep understanding of distributed computing concepts, event based architecture, and cloud design patterns. Collaboration and communication skills: Solid writing skills paired with the ability to clearly communicate complex ideas to teammates from both technical and non-technical backgrounds. Cloud technologies: Proficiency with Kubernetes, OpenTelemetry, gRPC/Protobuf, Argo, Kafka, etc.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/25426718", "isPrivate": false}, {"id": 25426719, "name": "Backend Engineer", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1736917286, "t_create": 1728067142, "ats_job_id": "8e6e2a42-65f8-4bbf-82c4-13e78486a75e", "display_job_id": "R0003964", "type": "ATS", "id_locale": "R0003964-en", "job_description": "Design and build RESTful APIs for mobile clients. Taking part in the backend On-Call rotation (1 whole week, every 8-11 weeks). Design and build microservices that run on Kubernetes. Design and build distributed systems in Go, using cloud infrastructure and platform service components. Own the technical design, implementation, and success of their projects. Collaborate effectively with cross-functional partners. Help foster a culture of collaboration and inclusivity. Cultivate a growth mindset. Effectively organize and manage personal workload, tasks, and meetings. 3+ years of industry experience as a backend/service engineer. 2+ years of experience working in a cloud environment such as GCP, AWS, Azure. Strong programming skills: Familiarity with Go is a bonus! System Design & Architecture: Familiarity with distributed computing concepts. Collaboration and Communication skills: Ability to clearly communicate complex ideas to teammates. Cloud Technologies: Familiarity with Kubernetes, OpenTelemetry, gRPC/Protobuf, etc.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/25426719", "isPrivate": false}, {"id": 26357821, "name": "Senior Product Designer (Contract to hire)", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Product", "t_update": 1736917286, "t_create": 1734028897, "ats_job_id": "28cb0213-58dc-4cce-8380-6eabd7ef4158", "display_job_id": "28cb0213-58dc-4cce-8380-6eabd7ef4158", "type": "ATS", "id_locale": "3523306157124553835-en", "job_description": "Design for Impact: Craft features that balance user needs and business goals, driving value worth paying for. Strategic Visioning: Define team strategy by facilitating workshops and translating insights into testable, actionable design hypotheses. Collaborative Problem Solving: Partner with cross-functional teams to identify design opportunities, prioritize projects, and align on goals. Compelling Communication: Share ideas and design decisions effectively through high-fidelity prototypes, live presentations, and creative storytelling. Exceptional Craftsmanship: Deliver polished work that upholds Hinge's brand standards, from wireframes to visual comps and prototypes. Iterative Design: Embrace a test-and-learn mindset, refining solutions based on research and user feedback. Experience: 8+ years of product design experience, including 3-5 years in mobile design; expertise in user-centered design solutions demonstrated in a strong portfolio. Education: Bachelor's degree or equivalent practical experience in design, human-computer interaction, or a related field. Portfolio: Proven success launching software at scale, particularly in fast-paced, multi-market environments. Domain Expertise: Background in monetization, subscription services, or e-commerce is highly desirable. Data-Informed: Skilled at integrating research and data insights into design, particularly in experimental contexts. 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Build software systems using modem observability tools and ensure that systems are scalable and can support millions of users. Work in a cloud native tech stack: Kubernetes, AWS, Go web services, Postgres, Redis, Kafka. Create and maintain feedback cycles with peers and manager. Participate in weekly 1:1's with manager and use strong communication skills (written and verbal) to provide code review feedback for peers, and support and mentor junior developers and pair programming with new hires. Operate and maintain production systems and provide root cause analysis for production incidents and produce learning content for weekly team meetings. Provide root-cause-analysis for production incidents, and Produce learning content for weekly team meetings. Participate in production readiness review and assist with team hiring and learning and take part in technical hiring interviews. Develop software to work with Apple's developer ecosystem for in-app and subscription purchases and develop software to work with Google's developer ecosystem for in-app and subscription purchases. Ensure the accuracy and security of transactions and meet financial compliance requirements. Collaborate with cross-functional teams to integrate our solutions with Apple and Google platforms, adhering to their guidelines and leveraging their ecosystems for enhanced monetization opportunities. Telecommuting may be permitted. When not telecommuting, must report to 809 Washington St, New York, NY 10014. Salary: $180,000 - $220,000 per year. MINIMUM REQUIREMENTS: Bachelor's degree or US equivalent in Electrical Engineering, Computer Science, Computer Engineering, Software Engineering, Information Technology, or related field plus 5 years of professional experience as Backend Engineer, Software Engineer, or any occupation/position/job title involving designing and developing backend software. Must also have experience in the following: 2 years of professional experience building backend infrastructures for consumer-facing features (Business to Consumer) built on iOS and Android for a global tech company; 2 years of professional experience handling large volumes (millions daily) of data within AWS using the Golang scripting language; 2 years of professional experience handling cloud-based container technologies including Docker and Kubernetes; 2 years of professional experience handling data and event streaming using Kafka and leveraging change data capture (CDC); 2 years of professional experience handling data storage using relational databases including PostgreSQL and NoSQL databases including Redis; 2 years of professional experience performing software engineering practices and employing best practices for the full software development life cycle (including coding standards, code reviews, source control management, build processes, testing, and operations); 2 years of professional experience conducting interviews and test review of technical hires; and 2 years of professional experience working with Apple's App Store Systems and technology, including In-App Purchases, Receipt Verification, their Sandbox, Server APIs, and Server Notifications and Google's Play Store Systems and technologies, including Google Play Developer APIs, Real Time Developer Notifications, and Google Cloud Pub/Sub. CONTACT: Please email resume to Lauren.Lozano@Match.com. Specify ad code FKLL. 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