Hinge
Overview
Senior Machine Learning Engineer, Growth at Hinge. Hinge is the dating app designed to be deleted. About the Role
We are hiring a Senior Machine Learning Engineer to support our User Growth and Monetization teams by using the latest advances in machine learning and AI to build deeply personalized user experiences that drive business growth and meet individual needs and preferences. By targeting the right users with the right products at the right time, we empower product teams to drive meaningful growth in revenue and user engagement while enhancing user satisfaction. The Growth Product Group is responsible for the development of paid features to accelerate dating outcomes, driving engagement throughout a users lifecycle and making Hinge the dating destination for all communities. You can expect to work on a broad range of problems, from identifying how to send the right message to the right user at the right time to optimizing the efficacy of our paid offerings. This is a fast growing team, and you will help define the vision and strategy that drives meaningful growth and accelerates machine learning at Hinge. Responsibilities
Develop and deploy user targeting models that will help drive engagement and influence user behavior to improve dating outcomes Improve user adoption of and engagement with paid features through optimizations and improving the paid value proposition 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 What We're Looking For
Strong programming skills:
Proficiency in Python 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:
Experience training and deploying large scale ML models. 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 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. 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. Previous experience in User Growth or Monetization is preferred. 2+ years of experience designing and developing production grade ML systems. 2+ years of experience working on a cloud environment such as GCP, AWS, Azure 1+ year of experience leading projects with at least 1 other team member through completion. A degree in computer science, engineering, or a related field. Salary Range
$204,000.00 - $262,000.00 per year salary 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 City. 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. The Hinge value I resonate most with is... Empathy. When your personal values and your company's values align-- you know it's the right place to work. Culture and Benefits
The following reflects some examples of our benefits and cultural practices: We match 100% of the first 10% of pre-tax 401(k) contributions up to $10,000 per year A $3,000 annual Learning & Development stipend after three months, plus free Udemy access 100% paid parental leave for 20 weeks (birth and non-birth parents) Fertility support up to $10,000 through Carrot Monthly $100 stipend for epic dates; HingeX is free for employees and their loved ones Eight Employee Resource Groups (ERGs) for community and support A culture of transparency, candor, and humility Interview Process and Values
We emphasize skill, narrative, and culture interviews, with a focus on radical inclusion and serving our users. We hire for impact and collaboration, with a commitment to fairness in compensation. Role Details
Full-Time & Hybrid Employees in New York City with an expectation of weekly in-office presence in the Meatpacking District. The role supports collaboration and in-person work for better teamwork. What youll love about our New York office
In-person collaboration, bocce on the terrace, and a space designed for teamwork. Relationships are at the core of what we do. Our values are Authenticity, Courage, and Empathy. We are growing and value diversity and inclusion. We offer compensation packages with base salary, annual bonus target, and equity in MTCH stock. How to Apply
If youre passionate about inspiring intimate connections, join us. #J-18808-Ljbffr
Senior Machine Learning Engineer, Growth at Hinge. Hinge is the dating app designed to be deleted. About the Role
We are hiring a Senior Machine Learning Engineer to support our User Growth and Monetization teams by using the latest advances in machine learning and AI to build deeply personalized user experiences that drive business growth and meet individual needs and preferences. By targeting the right users with the right products at the right time, we empower product teams to drive meaningful growth in revenue and user engagement while enhancing user satisfaction. The Growth Product Group is responsible for the development of paid features to accelerate dating outcomes, driving engagement throughout a users lifecycle and making Hinge the dating destination for all communities. You can expect to work on a broad range of problems, from identifying how to send the right message to the right user at the right time to optimizing the efficacy of our paid offerings. This is a fast growing team, and you will help define the vision and strategy that drives meaningful growth and accelerates machine learning at Hinge. Responsibilities
Develop and deploy user targeting models that will help drive engagement and influence user behavior to improve dating outcomes Improve user adoption of and engagement with paid features through optimizations and improving the paid value proposition 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 What We're Looking For
Strong programming skills:
Proficiency in Python 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:
Experience training and deploying large scale ML models. 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 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. 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. Previous experience in User Growth or Monetization is preferred. 2+ years of experience designing and developing production grade ML systems. 2+ years of experience working on a cloud environment such as GCP, AWS, Azure 1+ year of experience leading projects with at least 1 other team member through completion. A degree in computer science, engineering, or a related field. Salary Range
$204,000.00 - $262,000.00 per year salary 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 City. 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. The Hinge value I resonate most with is... Empathy. When your personal values and your company's values align-- you know it's the right place to work. Culture and Benefits
The following reflects some examples of our benefits and cultural practices: We match 100% of the first 10% of pre-tax 401(k) contributions up to $10,000 per year A $3,000 annual Learning & Development stipend after three months, plus free Udemy access 100% paid parental leave for 20 weeks (birth and non-birth parents) Fertility support up to $10,000 through Carrot Monthly $100 stipend for epic dates; HingeX is free for employees and their loved ones Eight Employee Resource Groups (ERGs) for community and support A culture of transparency, candor, and humility Interview Process and Values
We emphasize skill, narrative, and culture interviews, with a focus on radical inclusion and serving our users. We hire for impact and collaboration, with a commitment to fairness in compensation. Role Details
Full-Time & Hybrid Employees in New York City with an expectation of weekly in-office presence in the Meatpacking District. The role supports collaboration and in-person work for better teamwork. What youll love about our New York office
In-person collaboration, bocce on the terrace, and a space designed for teamwork. Relationships are at the core of what we do. Our values are Authenticity, Courage, and Empathy. We are growing and value diversity and inclusion. We offer compensation packages with base salary, annual bonus target, and equity in MTCH stock. How to Apply
If youre passionate about inspiring intimate connections, join us. #J-18808-Ljbffr