Job Description
Role and Responsibility:
• Develop highly scalable GPU machine learning training system and custom inference hardware solution for a variety of AI workloads
• Implement and evaluate state-of-the-art performance optimization for large scale training and inference systems
• Code deliverables with engineering team with potential opportunity for external publication
Requirements / you will develop:
• Great communication working with team to understand business context and project roadmap
• Good and concise end-to-end programming skill across ML platform stacks such as Caffe2, Pytorch
• Across the board understanding of distributed training algorithms, memory/compute efficiency optimization, and how they affect high-level product metrics
Required Skills (must-have skillsets):
• Python, C++ programming fluency
• Strong communication and collaboration skills
• Experience with system performance analysis
Bonus:
• Experience with Pytorch and Caffe2 programming
• Experience with GPU programming and performance optimization
• Experience with large-scale system development and performance characterization/optimization
Experience:
• Education: BS / MS / PhD in EE/CS
• Years of Experience: minimum 3+
• Engineering/software development experience.
This is the pay range that the employer reasonably expects to pay for this position $63.44/hour - $87.84/hour
Optional Benefits: Medical, Dental, Vision, 401K
The Meta CWX Program is enabled by a cutting-edge software platform called TalentNet that leads the contingent labor world for technology innovation. The software platform leverages Machine Learning and Artificial Intelligence to make sure the right people end up in the right job.
At Meta, we are constantly iterating, solving problems, and working together to connect people all over the world. That’s why it’s important that our workforce reflects the diversity of the people we serve. Hiring people with different backgrounds and points of view helps us make better decisions, build better products, and create better experiences for everyone.
We give people the power to build community and bring the world closer together. Our products empower more than 3 billion people around the world to share ideas, offer support, and make a difference.
