Bluesky’s vision is to make social more like the web itself. We’re building a social media app, but beyond that, we’ve created a protocol that supports a broad ecosystem of applications and clients. Imagine a network of applications — from microblogging to photos to video to long-form writing — all interconnected and accessible with a shared identity.
As a data engineer at Bluesky, you’ll be responsible for building and maintaining the data infrastructure that powers our work. You’ll work closely with our machine learning (ML) engineers and product team to ensure they have reliable, efficient access to the data they need to develop models that enhance our capabilities. You’ll be a great fit for this role if you have experience with ML, analytics, and love gleaning insights from data.
Responsibilities:
- Design, implement, and maintain high volume data pipelines across the application stack
- Manage and create feature stores that enable rapid ML experimentation and deployment
- Work closely with other engineers to build out ML systems
- Support analytics dashboards to help track ML model performance and user metrics
- Develop monitoring and observability solutions for data infrastructure
You might be a good fit if you:
- Have 3+ years experience in data engineering, with a focus on ML infrastructure and social media applications
- Have experience dealing with high volume data flows
- Have strong programming skills in Python and Golang
- Experience working with PyTorch is a plus
- Experience working with Retool is a plus
- Have experience with Postgres or BigQuery
- Have worked with distributed systems and are familiar with networking
- Have knowledge of data privacy and security best practices
- Like working on small, fast-moving teams.
- Have read the AT Protocol docs and align with our vision for open social
We’re a fully remote team, but an overlap of working hours with PST is required, and for this role, proximity and willingness to travel to Seattle is a plus. We offer health, dental, and vision insurance.
If you want to work with an excellent team and help define the future of social, we encourage you to apply.
Additional Notes:
- The anticipated base salary range for this position is $150,000-$175,000, excluding equity. Equity will be considered in the total compensation package. Final base salary for this role will be based on the individual’s geographic location, as well as experience level, skill set, training, licenses and certifications.
