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Improve our Data Engineering stack through containerization, data modeling, developing our ETL pipelines, and more. Use your expertise in data modeling to design, build and maintain our analytics data warehouse that provides clean, accurate, and robust data sets to be leveraged for reporting, analytics, and machine learning initiatives. Work with stakeholders and translate their needs and expectations into action items and deliverables. Continue to learn more about the Data Engineering discipline, utilize that knowledge in your deliverables, and identify opportunities to enhance our pipelines. Contribute meaningful insights and feedback to our team processes. Participate in our on-call rotation. Perform other job-related duties as assigned. Proficient in Python, SQL, DevOps, and databases. 3+ years of professional/industry experience. Experience delivering data products from conception to delivery and with the infrastructure that supports their underlying processes. Strong communication skills (written/verbal).Experience modeling data sets for different types of sources and business processes. Passionate about designing elegant data infrastructure, tooling, and pipelines. 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Develop, maintain, and enhance reusable frameworks for AI/ML model development and deployment while establishing and driving best practices in machine learning engineering and MLOps. Design, advocate, and implement for availability, scalability, operational excellence, and cost management while delivering incrementally. Collaborate closely with ML Engineers, Data Scientists, and Product Managers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process. Mentor and educate ML Engineers and Data Scientists on current and up and coming tools and technologies for ML operations through presentations and documentation. Help design and architect an AI platform that adheres to the principles of responsible AI and simplifies privacy compliance. Lead build vs buy discussions on technologies that would underpin the feature, training, and serving layers. Perform other job-related duties as assigned. 3+ years of experience, depending on education, as an ML, backend, data, or platform engineer developing and working with large scale, complex systems. 2+ years of experience working on a cloud environment such as GCP, AWS, Azure, and with dev-ops tooling such as Kubernetes 1+ year of experience leading projects with at least 1 other team member through completion. 1+ year of experience for Senior designing and developing online and production grade ML systems. A degree in computer science, engineering, or a related field. Strong programming skills: Proficiency in languages like Python, Go, or Java. System design & architecture: Ability to design scalable and efficient ML systems. Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. ML knowledge: A basic understanding of ML algorithms, techniques, and best practices. Data engineering knowledge: Skills in handling and managing large datasets including, data cleaning, preprocessing, and storage Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds.. Strong written communication: The ability to communicate complex ideas and technical knowledge through documentation Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/19938972", "isPrivate": false}, {"id": 23719421, "name": "Senior Public Relations Manager", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Marketing", "t_update": 1721059149, "t_create": 1720037096, "ats_job_id": "439fb9f7-81a0-495f-a6b9-932f124f5a98", "display_job_id": "439fb9f7-81a0-495f-a6b9-932f124f5a98", "type": "ATS", "id_locale": "7386691900636509962-en", "job_description": "Strategy Development: Create and execute external communications strategies for product launches, brand campaigns, and company news. Internal Communications: Drive internal communications initiatives and messaging to keep employees informed and engaged. Stakeholder Collaboration: Build and manage relationships with internal stakeholders and agency partners. Communications & Messaging: Write engaging materials for internal and external communications, including key messaging and blog posts. Media Relations: Prepare and coach spokespeople, pitch stories to tech, business, and consumer outlets, cultivate relationships with key reporters, and handle inbound media requests. Strategic Measurement & Analysis: Evaluate the success of communications initiatives to continuously improve strategies. Proven Experience: 5-8 years in corporate communications or public relations, with a blend of in-house experience at a global tech company and agency experience. Versatile Communicator: Proven agility in managing both external announcements and internal communications, from strategy development to execution. Entrepreneurial Spirit: Demonstrated ability to lead and manage multiple projects simultaneously and create new processes with support from the Comms team and Operations partners. Collaborative Stakeholder: Experience working cross-functionally as a communications advisor, interacting comfortably with senior leaders and executives. Skilled Writer: Exceptional written communication and storytelling skills. Media Relations Expert: Strong track record of securing coverage and building journalist relationships across news, business, tech, and consumer sectors; experience with social-first coverage is a plus. Creative Thinker: Demonstrated ability to develop proactive and creative PR campaigns.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/23719421", "isPrivate": false}, {"id": 23584647, "name": "Data Engineer III, Data Platform Core", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1720722404, "t_create": 1718998704, "ats_job_id": "cb6b54db-841b-4633-acb6-903c74d4f12d", "display_job_id": "cb6b54db-841b-4633-acb6-903c74d4f12d", "type": "ATS", "id_locale": "5188305089384214548-en", "job_description": "Design, develop, and maintain core services within Hinge's data platform. Build and maintain our analytics data warehouse that provides clean, accurate, and robust data sets to be leveraged for reporting, analytics, and machine learning initiatives. Responsible for maintaining and enhancing data pipelines and database management frameworks, which include tasks such as automation, monitoring, alerting, governance, and cost optimization. Work on observability systems that enables holistic system and data quality monitoring. Solicit and incorporate internal user feedback to ensure productivity tooling meets the needs of our developers. Work with our data teams to ensure data is flowing accurately through data creation to our presentation layers. Continue to learn more about the Data Engineering discipline, utilize that knowledge in your deliverables, and identify opportunities to enhance our platform. Participate in our on-call rotation. 3+ years of professional/industry experience. Experience in building, automating, and enhancing tools and frameworks for the data platform to streamline pipeline development. Experience modeling data sets for different types of sources and business processes. Experienced with many or all of the following technologies: Python, Go, Scala, Java, Kubernetes, Docker, Terraform, CircleCi, GitHub Actions, Kafka, PubSub, Dataflow, Looker Experience in utilizing cloud environments such as GCP, AWS, or Azure. Experience with databases and Big Data tooling such as Redshift, BigQuery, Databricks, dbt. Strong written and verbal communication skills. Exposure to ML Ops or other data engineering workloads. Effective analytical, troubleshooting, and problem-solving skills. 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/23584647", "isPrivate": false}, {"id": 23551272, "name": "Senior Platform Engineer", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1718726254, "t_create": 1718726191, "ats_job_id": "dad03272-1785-4283-ae68-f1cbae4d12d4", "display_job_id": "R0003487", "type": "ATS", "id_locale": "R0003487-en", "job_description": "Deliver improvements to our infrastructure, observability, security, and internal tooling across varying problem spaces. Design, build, and maintain global, highly available, low-latency infrastructure to service the needs of our customers. Partner internally with teams to improve performance, scalability, reliability and observability of our infrastructure. Empathetically help teams improve their systems' performance, scalability, reliability, and observability. Has a keen focus on performance and reliability of infrastructure and takes ownership of solving problems as they arise. Leave a trail of high-quality technical documentation of initiatives, postmortems, and endeavor to uphold good knowledge-sharing practices. Impart your domain expertise theoretically and practically. Join the Platform Engineering on-call rotation. Prior experience in implementing, configuring and optimizing Kubernetes and Terraform at scale. Experience in building and troubleshooting large-scale distributed production infrastructure in AWS or GCP. Demonstrated proficiency in working on CI/CD pipelines. Experience building global multi-region infrastructure, services, databases and storage. Experience in on call rotation and responding to incidents. Has expertise in many or all of the following: Terraform, Kubernetes, AWS, Grafana, Elasticsearch, Prometheus, Argo CD, Kafka, Golang/Python or another systems language.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/23551272", "isPrivate": false}, {"id": 21800485, "name": "Lead Content Designer", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Product", "t_update": 1721929717, "t_create": 1712939757, "ats_job_id": "b031fa22-14fb-4219-a195-256e2c2fc888", "display_job_id": "R0003631", "type": "ATS", "id_locale": "R0003631-en", "job_description": "Simplify and Communicate: Translate complicated concepts into clear in-product copy (UI, monetization offerings, AI-powered interactions, notifications, errors, and more). Create Content Guidelines: Develop and maintain in-app content strategies and tone-of-voice guidelines for cross-functional use. Test and Iterate: Continuously test and refine content designs based on user feedback and data insights. Lead Projects: Oversee various product design initiatives, ensuring successful execution through collaboration with product management, design, operations, research, marketing, and engineering teams. Foster Collaboration: Partner closely with product managers, designers, operations, researchers, marketing and engineering to drive features forward from conception to execution at a hands-on capacity. Solve Complex Problems: Use design thinking to address complex issues with human-centered solutions and brand-aligned storytelling. Create Best Practices: Create, maintain, and evolve in-app content guidelines in partnership with product, brand and marketing. Proven Experience: 7+ years crafting compelling copy and content strategies in digital product companies, agencies, or tech startups, with a strong portfolio in UX writing and digital storytelling. Global Audience Focus: Expertise in designing content for diverse, global audiences, adapting messaging to cultural nuances. Mobile Product Expertise: Experience in writing for user-facing mobile apps, engaging users through concise and impactful messaging. Strategic Content Creation: Skill in strategically planning content roadmaps and developing test plans to optimize content strategies using data-driven insights. Collaboration and Tool Proficiency: Proficiency with key design and collaboration tools (e.g., Google Suite, Figma, Notion), and effective teamwork in multidisciplinary environments. Leadership and Advocacy: Strong presentation skills, capable of articulating copy decisions and advocating for content choices that enhance product value and user engagement.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/21800485", "isPrivate": false}, {"id": 19894556, "name": "Senior Manager, Data Science & Analytics", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1715795564, "t_create": 1704855653, "ats_job_id": "72dabcf4-765f-437e-9913-7b60bfa731cd", "display_job_id": "R0003466", "type": "ATS", "id_locale": "R0003466-en", "job_description": "Manage an organization of Data Scientists and Data Analysts Empower your team to execute on the reporting, analytics, and experimentation needs of Product and other teams at Hinge Continuously identify new opportunities to apply different data & analytical methodologies to support Product Development Partner with Product Leadership to establish best practices, processes, and principles for Product Development Evolve the mission, technical direction, and culture of the Growth Data Science and Analytics team Collaborate with other Data Science and Analytics leaders to establish long term (two years) vision for the Data Science and Analytics team and translate that into quarterly objectives Develop annual roadmaps for Data Science and Analytics projects and hiring, and translate those into quarterly plans Coach, grow and empower team members Collaborate with Machine Learning & Algorithms, Business Intelligence, and Data Engineering teams on high impact Data projects Perform other job-related duties as assigned 5+ years of experience as a data scientist, including 2+ years as a manager Deep technical expertise and experience in Product Analytics (A/B Testing) with strong understanding of and exposure to Machine Learning Extensive experience collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on levels Passion for developing and coaching direct reports Full commitment to team members' well-being Experience building and delivering on long term plans, strategy, projects, and hiring plans Proficiency in SQL and python Superb communication skills, particularly the ability to listen, synthesize, advocate, and evangelize", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://join.matchgroupcareers.com/careers/job/19894556", "isPrivate": false}, {"id": 20684210, "name": "Full-Stack Engineer III", "location": "New York, New York", "locations": ["New York, New York"], "hot": 0, "department": "Hinge", "business_unit": "Engineering", "t_update": 1715887069, "t_create": 1707858103, "ats_job_id": "59cae256-d609-4b6a-9f2a-639a938fed15", "display_job_id": "R0003735", "type": "ATS", "id_locale": "R0003735-en", "job_description": "Collaborate with a cross-disciplinary team to build features. Build tooling and user interfaces for our web application to support Moderation, Appeals and Support team members in managing users on our platform. Design and build backend/frontend features with an emphasis on quality and scalability. Own projects end-to-end, and effectively communicate with tech leads, managers and other stakeholders. Work in a cloud-native tech stack: Kubernetes, AWS, Go gRPC/API services, Postgres, Redis, Kafka, React. Participate and engage in team ceremonies/processes and our on-call rotation (weeklong alternating with other engineers). Proficient in coding in one or more backend languages with a preference on Go 3+ years experience with architecting RESTful APIs while following best practices 2+ years experience with building and maintaining React web applications (Javascript/Typescript, CSS) Worked with at least one message or event-based technology (Kafka, Kinesis, RabbitMQ, SQS, etc.) Experience working in distributed production systems Familiar with Cloud infrastructure and microservice architecture (such as AWS, GCP, Azure) Familiar with CI/CD pipelines and testing frameworks (Mocha/Jest) Knowledgeable of the Software Development Life Cycle Strong analytical and problem-solving skills. 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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. 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Our portfolio includes Tinder, Match, OkCupid, Hinge, PlentyOfFish, and others, each designed to help singles find a meaningful connection. As Corporate Counsel, Privacy, you'll partner with senior members of our privacy team to provide crucial support in implementing and managing our global privacy program. You'll notably focus on documenting product counseling risk mitigation plans through Privacy-by-Design reviews and Data Protection Impact Assessments/Privacy Impact Assessments, as well as coordinating the review and implementation of new privacy laws and regulations' requirements. Join us in addressing some of the most exciting privacy challenges and making a real difference in people's lives! This is a hybrid role, based in Dallas, and requires two days in the office per week. 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We could be a match if: You have a law degree from a top accredited law school and eligibility to practice law in Texas. You have 2+ years in a top national law firm and/or in-house legal department, with experience in technology product counseling in B2C digital industries (e.g., gaming, music, mobile, video, online marketplaces, social media). You have strong business communication and analytical skills, attention to detail, and a strong sense of ownership and accountability. You are a self-starter, capable of operating in a fast-paced environment. Positive attitude and ease in working collaboratively with both legal and non-legal team members. You have a strong desire to learn the business, associated technologies, and new areas of law, with a practical approach to partnering with business teams. $ - $ a year LI-MG1 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. 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