Staff Machine Learning Engineer
Hinge (View all Jobs)
New York, New York, US
Interview Process
1. Hiring manager screen 2. Take-home project 3. Discussions via Zoom that include pair-programming to iterate on homework and culture-fit interview
Salary
$215,000 - $255,000.
Programming Languages Mentioned
SQL, Python, Java
We are seeking a Staff Machine Learning Engineer to join the Discovery workstream, where you will be working on Hinge’s core recommendations engine. You will collaborate with data scientists and engineers to turn algorithmic prototypes into scalable production-grade systems. This is a highly impactful role both in terms of affecting user experience on the app and advancing the company’s machine learning engineering capabilities.
Responsibilities:The salary range for this position is $215,000 - $255,000. 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.
Our Company:
Hinge is the dating app designed to be deleted. In today’s digital world, singles are so focused on sending likes and looking through profiles that they’re not actually building meaningful connections and finding relationships. Hinge is on a mission to change that by designing the most effective app experience. On Hinge, there are no rules, timers, or games. Instead, you’ll have unique conversations over the text, photos, and audio you’ve shared on your profile. And it’s resonating with daters. Currently we’re setting up a date every three seconds.
Our Culture:
- Authenticity: Share your genuine thoughts and opinions directly.
- Courage: Invite and deeply consider challenges and criticism.
- Empathy: Be empathetic, communitarian and trustworthy.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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