Machine Learning Engineer - Model Training Infrastructure

The Machine Learning Engineer will be responsible for designing and implementing a global-scale machine learning system for feeds, ads, and search ranking models. The role involves improving the usability and flexibility of the machine learning infrastructure, enhancing model training and serving workflows, data pipelines, storage systems, and resource management for multi-tenancy machine learning systems. The engineer will also design and develop key components of ML infrastructure, mentor interns, and contribute to the overall advancement of the company's AI infrastructure and recommendation platform. This role demands a strong understanding of large-scale system development and experience with deep learning frameworks and core machine learning infrastructure.

Must Have

• 5+ years of experience in developing and deploying large-scale systems.
• Proficiency in C/C++/CUDA/Python and solid programming skills.
• Familiarity with deep learning frameworks (TensorFlow/Pytorch).

Good to Have

• Experience contributing to an open-sourced machine learning framework (TensorFlow/PyTorch).
• Experience in using/designing open-source machine learning lifecycle management systems: TFX

Perks & Benefits

• Day one access to medical, dental, and vision insurance.
• 401(k) savings plan with company match.
• Paid parental leave.
• Short-term and long-term disability coverage.
• Life insurance.
• Wellbeing benefits.
• 10 paid holidays per year.
• 10 paid sick days per year.
• 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).