About Bluesky

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.

Nice to Have

• Experience in recommendation systems, user behavior modeling, and social graph analysis.
• Familiar or proficient with Golang — our ML code interfaces with it heavily.
• Experience with Ray, BigQuery, and Postgres.
• Ability to extend and optimize existing machine learning libraries and frameworks.
• Strong communication skills and a collaborative mindset for working with cross-functional teams.

Compensation

The anticipated base salary range for this position is $221,000 – $405,000 USD, excluding equity. Equity will be considered in the total compensation package. Final base salary will be based on the individual’s geographic location, as well as experience level, skill set, training, licenses, and certifications.

We’re a fully remote team, but an overlap of working hours with PST is required. Proximity and willingness to travel to Seattle is a plus. Health, dental, and vision insurance included.