Loading...
Staff Software Engineer, Machine Learning (Safety) at Discord
DiscordSan Francisco Bay Area or Remote (U.S.)·5d ago
LeadFull-timePythonRustMachine LearningData ScienceTensorFlowPyTorchAIML
Salary Range
$153,000 - $207,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are seeking an accomplished and experienced Staff Machine Learning Engineer – Safety ML to join our dynamic team at Discord. This role involves designing, developing, and maintaining data and AI/ML infrastructure and services to improve safety on our platform.
Key Responsibilities
- →Serve as the team’s technical lead and mentor, guiding ICs through design, experimentation, and implementation while raising the technical bar.
- →Define and drive the Safety ML team’s technical strategy and roadmap.
- →Set the bar in technical reviews, including code, design, and architecture, ensuring the team builds scalable, robust, and high-quality ML systems.
- →Collaborate cross-functionally with product, data science, policy, legal, and engineering partners to align on safety goals and deliver effective solutions.
- →Tackle the most complex and high-impact challenges in safety, including adversarial abuse, harmful content detection, and evolving threat vectors.
- →Develop cutting-edge safety techniques, applying state-of-the-art ML to detect and prevent harm while staying ahead of emerging abuse patterns.
- →Influence the company’s direction on safety, clearly communicating trade-offs and technical constraints to senior leadership and stakeholders.
Requirements
- ✓5+ years of experience in ML engineering or applied ML roles.
- ✓2+ years of experience applying ML in Trust & Safety to counter adversarial actors.
- ✓Strong coding skills in Python and fluency in ML frameworks such as PyTorch, JAX, or TensorFlow.
- ✓Proven experience building performant machine learning systems at scale and have driven the execution of large, impactful projects from ideation to production.
- ✓Ability to think from first principles, approaching complex problems with creativity, clear reasoning, and pragmatic solutions.
- ✓A growth mindset: seeking feedback, reflecting on decisions, and continuously improving.
- ✓Excellent communication and collaboration skills, with a history of partnering effectively across engineering, data science, legal, policy, and product teams.
- ✓Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, or a related field.
