Senior Machine Learning Engineer, Growth

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:

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 user’s 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.

• 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

• 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.

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 let your Talent Acquisition partner know.

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