Systems Research Engineer, Machine Learning Systems
Description For Systems Research Engineer, Machine Learning Systems
As a Systems Research Engineer specialized in Machine Learning Systems at Together AI, you will play a crucial role in researching and building the next generation AI platform. You'll work closely with modeling, algorithm, and engineering teams to design large-scale distributed training systems and a low-latency/high-throughput inference engine. Your responsibilities include optimizing existing training and inference platforms, collaborating with cross-functional teams, developing innovative ideas, and staying current with the latest advancements in machine learning systems.
Together AI is committed to open and transparent AI systems, aiming to drive innovation and create the best outcomes for society. The company is on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. They have contributed to leading open-source research, models, and datasets, and have been behind technological advancements such as FlashAttention, Hyena, FlexGen, and RedPajama.
This role offers a competitive compensation package, including a base salary range of $160,000 - $230,000, equity, health insurance, and other benefits. Together AI also provides flexibility in terms of remote work, although they require working three days per week in their San Francisco office.
Join a passionate group of researchers in building the next generation AI infrastructure and be part of a company that values equal opportunity and diversity in its workforce.
Responsibilities For Systems Research Engineer, Machine Learning Systems
- Optimize and fine-tune existing training and inference platform to achieve better performance and scalability
- Collaborate with cross-functional teams to integrate cutting edge research ideas into existing software systems
- Develop your own ideas of optimizing the training and inference platforms and push the frontier of machine learning systems research
- Stay up-to-date with the latest advancements in machine learning systems techniques and apply many of them to the Together platform
Requirements For Systems Research Engineer, Machine Learning Systems
- Strong background in machine learning systems, such as distributed learning and efficient inference for large language models and diffusion models
- Knowledge of ML/AI applications and models, especially foundation models such as large language models and diffusion models
- Knowledge of system performance profiling and optimization tools for ML systems
- Excellent problem-solving and analytical skills
- Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or equivalent practical experience
Benefits For Systems Research Engineer, Machine Learning Systems
- Competitive compensation
- Startup equity
- Health insurance
- Other benefits
- Flexibility in terms of remote work
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