Principal Machine Learning Infrastructure Engineer (Ads & Discovery)
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Description
- As a Machine Learning Infrastructure Engineer, you’ll build scalable, reliable, and high-performance infrastructure that powers ML systems across our organization
- You’ll operate at the scales of hundreds of billions of engagements, and redefine how we deliver performance ads to hundreds of millions of users
- Lead strategic planning and roadmap execution of scalable production-ready ML systems including model training, data pipelines, feature engineering and model inference
- Own the architecture, establish engineering best practices of scalability, reliability, and cost-effectiveness of ML infrastructure (e.g., training, serving, feature)
- Mentor and grow a team of machine learning infrastructure engineers, setting strong technical standards and fostering a culture of collaboration and learning
- Work closely with data scientists, ML engineers, platform teams, and product stakeholders to design, implement, and operate robust ML platforms that accelerate model development and deployment
- Stay abreast of industry trends in machine learning and infrastructure to ensure the adoption of leading-edge technologies and practices
- 5+ years of experience designing, building, and deploying large-scale machine learning systems in production environments
- 3+ years of experience tech leading ML infrastructure engineers
- Strong communication skills and a collaborative approach to problem solving
- BS, MS, or Ph.D. in Computer Science, Engineering, or equivalent experience