Match Group is hiring: Machine Learning Engineer in New York
Match Group, New York, NY, United States
Hinge is the dating app designed to be deleted
In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With tens of millions of users across the globe, we’ve become the most trusted way to find a relationship, for all.
About the Role:
The Dating Outcomes group is responsible for making sure people get to see their most compatible matches as well as helping them better present themselves or even start a conversation when they match with someone. In short we help people go on dates!
We are hiring ML practitioners to help us build the foundations of an AI first dating experience using the latest advancements in the field leveraging Hinge’s years worth of preference data. You can expect to work on recommendation systems end to end, experiment with using LLMs, photo and mixed input embedding models as well as building and deploying real time predictive models that directly impact millions of users' experience. This is a fast-growing team and you will get a chance to own and define the strategy, vision, and plan for how to accelerate machine learning at Hinge.
Responsibilities
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.
What We're Looking For
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 Kubernetes 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.
$177,000 - $213,000 a year As a member of our team, you’ll enjoy:
401(k) Matching: We match 100% of the first 10% of pre-tax 401(k) contributions you make, up to a maximum of $10,000 per year.
Professional Growth: Get a $3,000 annual Learning & Development stipend once you’ve been with us for three months. You also get free access to Udemy, an online learning and teaching marketplace with over 6000 courses, starting your first day.
Parental Leave & Planning: When you become a new parent, you’re eligible for 100% paid parental leave (20 paid weeks for both birth and non-birth parents).
Fertility Support: You’ll get easy access to fertility care through Carrot, from basic treatments to fertility preservation. We also provide $10,000 toward fertility preservation. You and your spouse/domestic partner are both eligible.
Date Stipend: All Hinge employees receive a $100 monthly stipend for epic dates– Romantic or otherwise. Hinge Premium is also free for employees and their loved ones.
ERGs: We have eight Employee Resource Groups (ERGs)—Asian, Unapologetic, Disability, LGBTQIA+, Vibras, Women/Nonbinary, Parents, and Remote—that hold regular meetings, host events, and provide dedicated support to the organization & its community.
At Hinge, our core values are…
Authenticity: We share, never hide, our words, actions and intentions.
Courage: We embrace lofty goals and tough challenges.
Empathy: We deeply consider the perspective of others.
Diversity inspires innovation
Hinge is an equal-opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe success is created by a diverse workforce of individuals with different ideas, strengths, interests, and cultural backgrounds.
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 contact employeebenefits@match.com .
Note: We will only respond to inquiries regarding accommodations and if you have any questions about your job application, please reach out to your Talent Acquisition Partner directly.
#J-18808-Ljbffr
In Summary: Hinge is hiring ML practitioners to help us build the foundations of an AI first dating experience using the latest advancements in the field leveraging Hinge’s years worth of preference data . The Dating Outcomes group is responsible for making sure people get to see their most compatible matches as well as helping them better present themselves or even start a conversation when they match .
En Español: En Hinge, estamos en una misión de inspirar conexiones íntimas para crear un mundo menos solitario. Estamos obsesionados con comprender los comportamientos de nuestros usuarios para ayudarles a encontrar el amor, y nuestro éxito se define por una simple métrica estableciendo grandes fechas. Con decenas de millones de usuarios en todo el mundo, nos hemos convertido en la forma más fiable de encontrar una relación, para todos. Diseñar, abogar e implementar para la disponibilidad, escalabilidad, excelencia operativa y gestión de costos al tiempo que brinda impacto a nuestros daters incrementalmente. Colaborar estrechamente con ingenieros ML, científicos de datos y gerentes de productos para comprender sus necesidades e identificar oportunidades para acelerar el proceso de desarrollo y implementación de AI/ML. Mentor y educar a los Ingenieros ML sobre las últimas innovaciones del ML (por ejemplo, agentes LLM y modelos de transcripción). Realizar otras tareas relacionadas con el trabajo según lo asignado. Lo que buscamos: Proficiencia en programación fuerte en lenguajes como Python, Java o AWS +: Conocimiento básico y conocimientos básicos: Comentando mejor las soluciones de diseño en nube, comprendiendo bien cómo desarrollar una arquitectura basada en la nube y construir sistemas avanzados de aprendizaje como D&B: Desarrollado y mejorar su conocimiento, así como conexión a grandes plataformas de escritura, comprensión adecuada de las habilidades y capacidad de comprobación de las redes de configuración de computadora, etc. Familiarización con PyTorch, TF, destilación de conocimientos, sistemas recomendadores son una ventaja. Habilidades Dev-ops: Capacidad para establecer, gestionar y utilizar datos e infraestructura computacional como Kubernetes y Terraform. Comprensión profunda de las líneas de producción y transmisión, así como de los orquestradores como Argo y Airflow. Habilidades de colaboración y comunicación: Capacidad para trabajar eficazmente en equipo y comunicar ideas complejas claramente con individuos de diversos orígenes técnicos y no técnicos. Comunicación escrita fuerte.: capacidad de comunicarse ideas complejos y conocimientos técnicos a través de la documentación. habilidades de liderazgo del software: Un historial de proyectos líderes hasta su finalización con resultados cuantificables y medibles. 4+ años de experiencia, dependiendo de la educación, como MLE. 2 + años de experiencias trabajando en un entorno en nube como GCP, AWS, Azure herramienta, y con contribuciones dedicadas como Kubernetes. 1 año de experiencia liderando proyectos con al menos 1 otro miembro del equipo por medio de la terminación. 2 years of experience for Senior Production and Growing 401 (XNUMX) y A. Aprender sistemas ML: Disfruta de una licenciatura profesional en ingeniería electrónica, $ 21,000 o más. También obtendrá acceso gratuito a Udemy, un mercado de aprendizaje y enseñanza en línea con más de 6000 cursos, comenzando su primer día. Permisión Parental & Planning: Cuando se convierta en nuevo padre, usted es elegible para una licencia parental pagada del 100% (20 semanas pagadas tanto para padres que nacen como no nacen). Apoyo Fertilidad: Usted tendrá fácil acceso al cuidado de la fertilidad a través de Carrot, desde los tratamientos básicos hasta la preservación de la fecundidad. Creemos que el éxito es creado por una fuerza laboral diversa de individuos con diferentes ideas, fortalezas, intereses y antecedentes culturales. Si necesita un alojamiento razonable para completar una solicitud de empleo, pruebas previas a la contratación o una entrevista de trabajo o participar de otra manera en el proceso de reclutamiento, póngase en contacto con employeebenefits@match.com . Nota: Sólo responderemos a consultas sobre alojamientos y si tiene alguna pregunta acerca de su solicitud de trabajo, comuníquese directamente con su Socio de Adquisición de Talento. #J-18808-Ljbffr
In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With tens of millions of users across the globe, we’ve become the most trusted way to find a relationship, for all.
About the Role:
The Dating Outcomes group is responsible for making sure people get to see their most compatible matches as well as helping them better present themselves or even start a conversation when they match with someone. In short we help people go on dates!
We are hiring ML practitioners to help us build the foundations of an AI first dating experience using the latest advancements in the field leveraging Hinge’s years worth of preference data. You can expect to work on recommendation systems end to end, experiment with using LLMs, photo and mixed input embedding models as well as building and deploying real time predictive models that directly impact millions of users' experience. This is a fast-growing team and you will get a chance to own and define the strategy, vision, and plan for how to accelerate machine learning at Hinge.
Responsibilities
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.
What We're Looking For
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 Kubernetes 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.
$177,000 - $213,000 a year As a member of our team, you’ll enjoy:
401(k) Matching: We match 100% of the first 10% of pre-tax 401(k) contributions you make, up to a maximum of $10,000 per year.
Professional Growth: Get a $3,000 annual Learning & Development stipend once you’ve been with us for three months. You also get free access to Udemy, an online learning and teaching marketplace with over 6000 courses, starting your first day.
Parental Leave & Planning: When you become a new parent, you’re eligible for 100% paid parental leave (20 paid weeks for both birth and non-birth parents).
Fertility Support: You’ll get easy access to fertility care through Carrot, from basic treatments to fertility preservation. We also provide $10,000 toward fertility preservation. You and your spouse/domestic partner are both eligible.
Date Stipend: All Hinge employees receive a $100 monthly stipend for epic dates– Romantic or otherwise. Hinge Premium is also free for employees and their loved ones.
ERGs: We have eight Employee Resource Groups (ERGs)—Asian, Unapologetic, Disability, LGBTQIA+, Vibras, Women/Nonbinary, Parents, and Remote—that hold regular meetings, host events, and provide dedicated support to the organization & its community.
At Hinge, our core values are…
Authenticity: We share, never hide, our words, actions and intentions.
Courage: We embrace lofty goals and tough challenges.
Empathy: We deeply consider the perspective of others.
Diversity inspires innovation
Hinge is an equal-opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe success is created by a diverse workforce of individuals with different ideas, strengths, interests, and cultural backgrounds.
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 contact employeebenefits@match.com .
Note: We will only respond to inquiries regarding accommodations and if you have any questions about your job application, please reach out to your Talent Acquisition Partner directly.
#J-18808-Ljbffr
In Summary: Hinge is hiring ML practitioners to help us build the foundations of an AI first dating experience using the latest advancements in the field leveraging Hinge’s years worth of preference data . The Dating Outcomes group is responsible for making sure people get to see their most compatible matches as well as helping them better present themselves or even start a conversation when they match .
En Español: En Hinge, estamos en una misión de inspirar conexiones íntimas para crear un mundo menos solitario. Estamos obsesionados con comprender los comportamientos de nuestros usuarios para ayudarles a encontrar el amor, y nuestro éxito se define por una simple métrica estableciendo grandes fechas. Con decenas de millones de usuarios en todo el mundo, nos hemos convertido en la forma más fiable de encontrar una relación, para todos. Diseñar, abogar e implementar para la disponibilidad, escalabilidad, excelencia operativa y gestión de costos al tiempo que brinda impacto a nuestros daters incrementalmente. Colaborar estrechamente con ingenieros ML, científicos de datos y gerentes de productos para comprender sus necesidades e identificar oportunidades para acelerar el proceso de desarrollo y implementación de AI/ML. Mentor y educar a los Ingenieros ML sobre las últimas innovaciones del ML (por ejemplo, agentes LLM y modelos de transcripción). Realizar otras tareas relacionadas con el trabajo según lo asignado. Lo que buscamos: Proficiencia en programación fuerte en lenguajes como Python, Java o AWS +: Conocimiento básico y conocimientos básicos: Comentando mejor las soluciones de diseño en nube, comprendiendo bien cómo desarrollar una arquitectura basada en la nube y construir sistemas avanzados de aprendizaje como D&B: Desarrollado y mejorar su conocimiento, así como conexión a grandes plataformas de escritura, comprensión adecuada de las habilidades y capacidad de comprobación de las redes de configuración de computadora, etc. Familiarización con PyTorch, TF, destilación de conocimientos, sistemas recomendadores son una ventaja. Habilidades Dev-ops: Capacidad para establecer, gestionar y utilizar datos e infraestructura computacional como Kubernetes y Terraform. Comprensión profunda de las líneas de producción y transmisión, así como de los orquestradores como Argo y Airflow. Habilidades de colaboración y comunicación: Capacidad para trabajar eficazmente en equipo y comunicar ideas complejas claramente con individuos de diversos orígenes técnicos y no técnicos. Comunicación escrita fuerte.: capacidad de comunicarse ideas complejos y conocimientos técnicos a través de la documentación. habilidades de liderazgo del software: Un historial de proyectos líderes hasta su finalización con resultados cuantificables y medibles. 4+ años de experiencia, dependiendo de la educación, como MLE. 2 + años de experiencias trabajando en un entorno en nube como GCP, AWS, Azure herramienta, y con contribuciones dedicadas como Kubernetes. 1 año de experiencia liderando proyectos con al menos 1 otro miembro del equipo por medio de la terminación. 2 years of experience for Senior Production and Growing 401 (XNUMX) y A. Aprender sistemas ML: Disfruta de una licenciatura profesional en ingeniería electrónica, $ 21,000 o más. También obtendrá acceso gratuito a Udemy, un mercado de aprendizaje y enseñanza en línea con más de 6000 cursos, comenzando su primer día. Permisión Parental & Planning: Cuando se convierta en nuevo padre, usted es elegible para una licencia parental pagada del 100% (20 semanas pagadas tanto para padres que nacen como no nacen). Apoyo Fertilidad: Usted tendrá fácil acceso al cuidado de la fertilidad a través de Carrot, desde los tratamientos básicos hasta la preservación de la fecundidad. Creemos que el éxito es creado por una fuerza laboral diversa de individuos con diferentes ideas, fortalezas, intereses y antecedentes culturales. Si necesita un alojamiento razonable para completar una solicitud de empleo, pruebas previas a la contratación o una entrevista de trabajo o participar de otra manera en el proceso de reclutamiento, póngase en contacto con employeebenefits@match.com . Nota: Sólo responderemos a consultas sobre alojamientos y si tiene alguna pregunta acerca de su solicitud de trabajo, comuníquese directamente con su Socio de Adquisición de Talento. #J-18808-Ljbffr