Back-End Engineer
Full-Time
/
On-Site
About Ami
Ami is a passionate and experienced team of technology and product builders crafting the next global social platform for consumers. Founded by Andrew Frame (Citizen) and Shawn Fanning (Napster), Ami is a pre-launch, stealth product under development that bridges the gap between existing social networks and real-world interactions, powered by serendipity and location. In a world where social media and screen addiction have made behavior and connection feel less authentic, Ami is guiding the way back to genuine, real-world connections. Ami is backed by Founders Fund, 8VC, and more.
About the Role
You will be our go-to expert in backend data and machine learning, tasked with building and refining our first recommendation, matchmaking, and personalization systems. We expect you to take on a high level of ownership in this role, pushing your talent and skills to the absolute limit. If you’re excited about harnessing data and ML to create magical social experiences, this role is perfect for you.
You’ll join a small, tight-knit team of experienced founders, engineers, and designers building a new category of consumer social product with a global impact. You will work closely with our proprietary social graph, continually enhancing how we represent and analyze connections between people. Enjoy a beautiful downtown office offering the best NYC views of any startup, along with early-stage, generous stock options (Pre-Series A – congrats for finding us this early!).
Key Responsibilites
Design, develop, and maintain recommendation, matchmaking, and personalization systems and supporting backend services.
Leverage our proprietary social graph to improve the product.
Collaborate with mobile engineers, designers, and product team members to integrate insights into the user experience.
Provide fresh, innovative ideas on how data and machine learning can drive serendipitous, real-world social interactions.
Continually raise our bar for innovation, data quality, and engineering standards.
Keep up with the latest trends in machine learning, data science, and graph database technologies, and share knowledge with the team.
[Optional] Step up across the stack when needed – whether it’s optimizing a database query or tweaking an API endpoint – you’re ready to wear multiple hats in our startup environment.
Key Requirements
You’re highly proficient in Python, with a track record of building software (and preferably data/ML projects) in Python.
Hands-on experience developing and deploying machine learning models or data-driven features in a production environment.
You’ve built scalable backend systems or data pipelines that handle real-world data (bonus if in the social/networking domain).
You are eager to join our NYC crew in person (this role is on-site only – we’ll help you make the move if necessary).
You are a self-starter who thrives as an individual contributor, comfortable taking ownership within a small, fast-paced team.
Preferred Experience
Experience working on social networks, dating apps, or other consumer social products (a big plus, but not required).
Familiarity with graph databases and graph algorithms (e.g., Neo4j, AWS Neptune) for modeling and querying social networks.
Experience building recommendation, matchmaking, or personalization systems (e.g., collaborative filtering, user embeddings).
[Optional] Exposure to geospatial data or location-based services (maps, GPS, geofencing) and integrating location signals into products.
[Optional] Previous experience in an early-stage startup environment, wearing multiple hats and adapting to rapid changes.
[Optional] Experience designing experiments or A/B tests to iteratively improve algorithms and user outcomes.
[Optional] Comfortable with cloud infrastructure (AWS, GCP, etc.) and big-data processing frameworks (Spark, Kafka, etc.).
Why You’ll Love Working Here
Show off your skills by being a key contributor to a brand new category of consumer social app.
Work with a team of experienced founders, engineers, and designers building a product that will be used globally.
Work in an office stacked with tech, high-end gaming PCs, and VR setups – we love the occasional late-night gaming session.
Enjoy a fully stocked kitchen, a fully equipped gym, and amazing restaurants just around the corner.
Join our game nights! (We’re into backgammon, poker, and more.)
Soak in a beautiful downtown location with the best NYC views of any startup office.
Earn early-stage generous stock options (Pre-Series A).
Benefit from top-tier VC backing and resources (Founders Fund, 8VC, and others).
Send your application to
careers@ami.app
© Ami 2024