# Senior Software Engineer, Machine Learning

**Company:** [Discord](https://hotfix.jobs/companies/discord)
**Location:** San Francisco, CA
**Role:** ML Engineering
**Salary:** $220k – $275k/yr
**Experience:** 7+ years
**Skills:** Python, PyTorch, TensorFlow, Deep Learning, Transformers, embedding models, real-time ml inference, A/B Testing, ads ml, Recommendation Systems, distributed computing
**Posted:** 2026-07-22

> Senior ML Engineer on Discord's Revenue ML team building and scaling ads targeting, ranking, and measurement models using PyTorch/TensorFlow to optimize ad performance and drive revenue. Requires 5+ years ML experience including 3+ years in Ads ML.

## Job Description

## Responsibilities
- Design, develop, and deploy machine learning models for ads targeting and ranking.
- Develop sophisticated ML solutions such as identity graph to enhance ad targeting.
- Build and optimize ad ranking models to serve the most effective ads based on campaign objectives (e.g., app installs, link click).
- Improve ads targeting and ranking by leveraging both on-platform and off-platform signals.
- Collaborate cross-functionally with product, engineering, and business teams to define and execute on the Ads ML roadmap.
- Scale our ML infrastructure to support an increasing number of concurrent ad campaigns while ensuring low-latency decision-making.
- Drive research and implementation of state-of-the-art ML techniques in the field of online advertising.

## Requirements
- 5+ years of experience as a Machine Learning Engineer or Data Scientist.
- 3+ years of experience specifically in Ads ML (ads ranking, personalization, optimization, privacy-compliant user modeling, targeting, or measurement).
- Strong proficiency in Python and familiarity with deep learning frameworks such as PyTorch or TensorFlow.
- Experience with applied deep learning (e.g transformers, embedding models).
- Proven track record of designing, implementing, and scaling ML-driven ad systems in real-world applications.
- Experience working with real-time ML inference, A/B testing, and optimization frameworks.
- Experience translating ML evaluation results and performance metrics into actionable product roadmap items.
- Ability to connect business objectives to ML solutions, with the flexibility to shift focus toward the highest-impact problems as priorities evolve.

## Nice-to-Haves
- Strong understanding of performance advertising and how ML impacts revenue and advertiser retention.
- Knowledge of ad tech industry standards and ads ecosystem including targeting, retrieval, ranking, pacing, frequency, auction, etc.
- Experience with large-scale recommendation systems.
- Experience with large-scale data infrastructure and distributed computing.

## Similar roles

- [Machine Learning Engineer](https://hotfix.jobs/jobs/4b6250a2-4a7b-49d5-8892-b7f17ff221e9) - Sprinter Health - San Francisco, CA - $220k – $270k/yr
- [Lead Software Engineer, Data Platform](https://hotfix.jobs/jobs/971c7657-3720-45b5-895f-92b209c5be4c) - Viam - New York, NY - $220k – $250k/yr
- [Senior Software Engineer, ML/AI Platform](https://hotfix.jobs/jobs/1b7a2837-b605-4dd4-b03e-aff6f8c85440) - Attentive - Remote - $220k – $260k/yr
- [Senior Machine Learning Engineer](https://hotfix.jobs/jobs/6fc6255d-fb31-4ef8-9926-6151402c0eaf) - Bluesky Social - Remote - $221k – $405k/yr
- [Senior Machine Learning Engineer, ML Efficiency](https://hotfix.jobs/jobs/a6eebd48-ad78-4a99-8290-d0993a120231) - Reddit - Remote - $217k – $303k/yr

**Apply:** https://hotfix.jobs/jobs/12f53357-b6db-4647-9a5a-2f9e315a3537
**Canonical:** https://hotfix.jobs/jobs/12f53357-b6db-4647-9a5a-2f9e315a3537