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# Staff Software Engineer, Machine Learning (Consumer Revenue)

- **Company:** Discord Inc.
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $272,000.0 - $340,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Data Sharing, Distributed Computing Environment, Python (Programming Language), Machine Learning, Recommender Systems, Tensorflow, Azure Machine Learning, Pytorch, Apache Spark, Deep Learning, Information Technology, Apache Flink, Machine Learning Operations
- **Published:** September 22, 2026
- **Apply:** https://startup.jobs/staff-software-engineer-machine-learning-consumer-revenue-discord-10143311

## About the Role

* 8+ years of experience in applied Machine Learning, inclusive Ph.D. or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
 * Strong expertise in applied deep learning and mainstream RecSys model architecture (e.g. two-tower, transformer-based models, multi-task learning).
 * Strong proficiency in Python and ML frameworks such as PyTorch, JAX, or TensorFlow.
 * A track record of building ML systems from 0*1 in ambiguous, early-stage environments, and taking them to production at scale.
 * Strong product and business intuition, with the ability to translate experiment results into roadmap decisions.
 * Excellent communication and collaboration skills - able to lead cross-functional technical initiatives across multiple verticals and keep stakeholders educated and aligned.
 * The ability to thrive in ambiguous environments, energized by open-ended, technically challenging problems.

What you should have

 * Built internal ML platform/tooling (shared data standards, targeting endpoints, recommender libraries) adopted by multiple product teams.
 * Familiarity with personalized marketing systems - lifecycle targeting, audience segmentation and lookalikes, campaign optimization.
 * Deep expertise in distributed training (e.g. PyTorch on GPU, Ray, Anyscale) and large-scale data processing pipelines (e.g. Chronon, Spark, Flink).

This position is US-based and can be remote but if you live in the Bay Area, you're welcome to work from our beautiful SF office.



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