# Senior Machine Learning Engineer

**Company:** [Bluesky Social](https://hotfix.jobs/companies/bluesky)
**Location:** Remote
**Role:** ML Engineering
**Salary:** $221k – $405k/yr
**Experience:** 3+ years
**Skills:** Python, PyTorch, Go, Ray, BigQuery, Postgres, Recommendation Systems, Machine Learning, Data Modeling
**Posted:** 2025-06-09

> Designs, develops, and maintains ML systems for content recommendations, search, spam detection, and labeling using Bluesky's social graph. Requires 3+ years in ML/data science focused on recommendations/search, Python/PyTorch proficiency, and rapid experimentation skills.

## Job Description

## 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.

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