Systems Research Engineer, Machine Learning Systems

About the position

As a Systems Research Engineer specialized in Machine Learning Systems, you will play a crucial role in researching and building the next generation AI platform at Together. Working closely with the modeling, algorithm, and engineering teams, you will design large-scale distributed training systems and a low-latency/high-throughput inference engine that serves a diverse, rapidly growing user base. Your research skills will be vital in staying up-to-date with the latest advancements in machine learning systems, ensuring that our AI infrastructure remains at the forefront of innovation.

Responsibilities
? Optimize and fine-tune existing training and inference platform to achieve better performance and scalability
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? Collaborate with cross-functional teams to integrate cutting edge research ideas into existing software systems
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? Develop your own ideas of optimizing the training and inference platforms and push the frontier of machine learning systems research
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? Stay up-to-date with the latest advancements in machine learning systems techniques and apply many of them to the Together platform

Requirements
? Strong background in machine learning systems, such as distributed learning and efficient inference for large language models and diffusion models
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? Knowledge of ML/AI applications and models, especially foundation models such as large language models and diffusion models, how they are constructed and how they are used
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? Knowledge of system performance profiling and optimization tools for ML systems
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? Excellent problem-solving and analytical skills
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? Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or equivalent practical experience

Nice-to-haves

Benefits
? Competitive compensation
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? Startup equity
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? Health insurance
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? Flexibility in terms of remote work

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