Senior Machine Learning Engineer

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-Haves

• 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, 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

• Anticipated base salary range: $221,000 - $405,000 USD, excluding equity.
• Equity will be considered in the total compensation package.
• Final base salary based on individual’s geographic location, experience level, skill set, training, licenses and certifications.