Senior Machine Learning Engineer

Engineering Remote (overlap with PST) Full-time

About Us

Bluesky's mission is to transition the social web from platforms to protocols. We're building a federated social network where users have more power. Our team has decades of combined experience building distributed applications.

Role Overview

As a Senior Machine Learning Engineer at Bluesky, you will design, develop, and maintain machine learning systems for various parts of our stack. You will work on systems that directly impact the user's experience on the network, whether through content recommendation, search, spam detection, or automated labeling. Your work will augment the team's abilities to make the network a good place for all our users.

Key Responsibilities

* Design and implement machine learning models to improve personalized content recommendations, search, spam detection, topic labeling, and more. * Work with the giant open dataset, the Bluesky social graph, and its content. * Run machine learning tests and experiments, documenting findings and results for future iterations. * Ensure algorithms deliver accurate user recommendations and optimized experiences. * Train, retrain, and monitor machine learning systems to maintain model effectiveness. * Operate and run machine learning systems at scale in production environments..

Required Qualifications

* 3+ years of recent experience in machine learning or data science roles, with a focus on recommendations and search. * Proficiency in Python and experience with PyTorch and related modules. * Willingness and a knack for rapid experimentation. * Familiarity with data structures, data modeling, and software architecture. * Experience with high-scale technologies

We're especially excited if you

* Experience in recommendation systems, user behavior modeling, and social graph analysis. * Familiar or proficient with Golang, our ML code interfaces with it heavily. * Have experience with Ray, BigQu