Remote Senior ML Engineer: Personalization, Search & Scale

Protocol Labs, Inc.

Seattle, Northern (WA, KY)

Hybrid

USD 221,000 - 405,000

Full time

14 days+
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Job summary

Bluesky is hiring a Senior Machine Learning Engineer to design, develop, and maintain ML systems that enhance recommendations, search, and labeling across the network. You will work with the Bluesky dataset and social graph to improve user experiences.

The role emphasizes rapid experimentation, scalable architectures, and collaboration with cross-functional teams. This is a fully remote position with overlapping hours for PST, and occasional travel to Seattle may be required for interviews.

Qualifications

  • 3+ years of experience in ML/data science roles focusing on recommendations or search.
  • Proficiency in Python and PyTorch.
  • Familiarity with data structures, data modeling, and scalable software architecture.
  • Experience with high-scale technologies.

Responsibilities

  • Design and implement machine learning models to improve personalized content recommendations, search, spam detection, topic labeling, and more.
  • Work with the Bluesky data 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.

Skills

3+ years ML
Python
PyTorch
Rapid experimentation
Software architecture

Tools

Golang
Ray
BigQuery
Postgres

Job description

Bluesky is hiring a Senior Machine Learning Engineer to design, develop, and maintain ML systems that enhance recommendations, search, and labeling across the network. You will work with the Bluesky dataset and social graph to improve user experiences.

The role emphasizes rapid experimentation, scalable architectures, and collaboration with cross-functional teams. This is a fully remote position with overlapping hours for PST, and occasional travel to Seattle may be required for interviews.

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