Optimizing Machine Learning Performance Engineer
22 hours ago
We are seeking an accomplished Model Optimization Engineer to join our team at Roblox. As a key member of our ML Platform, you will be responsible for digging deep into model internals to optimize performance, both during training and inference.
Responsibilities- Optimize machine learning models for performance on GPU architectures, focusing on both training and inference workflows.
- Conduct low-level performance profiling analysis to identify bottlenecks in existing machine learning pipelines and propose actionable improvements.
- Collaborate with cross-functional teams, including data scientists and software engineers, to integrate and deploy optimized models into production environments.
- 4+ years of professional experience with a strong background in system design and optimization.
- Significant experience debugging GPUs, including reading GPU profiles and debugging Xid errors.
- Ideally, have experience with model optimization techniques for Large Language Models (LLMs), such as speculative decoding, continuous batching, quantization, etc.
- Bachelor's degree in Computer Science, Computer Engineering, Data Science, or a similar technical field.
- An estimated annual salary range of $233,840 – $283,780 USD.
- A comprehensive benefits package, including excellent medical, dental, and vision coverage, a rewarding 401k program, flexible vacation policy, and more.
- The opportunity to work with a talented team of engineers and scientists to develop innovative solutions that shape the future of human interaction.
- Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Note: The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand.
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