Apply Now: Systems Research Engineer, Machine Learning Systems
Key Job Details:Compensation: a competitive salaryStart Date: Immediate openings availablePosition: Systems Research Engineer, Machine Learning SystemsCompany: WorkwarpLocation: Remote  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
,
? 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
? 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, how they are constructed and how they are used
,
? 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
Nice-to-haves
Benefits
? Competitive compensation
,
? Startup equity
,
? Health insurance
,
? Flexibility in terms of remote work Apply Job! Are You the One We're Looking For?If you believe you have what it takes, submit your application without delay. We are keen to hear from talented candidates like you.
Apply Now
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
,
? 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
? 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, how they are constructed and how they are used
,
? 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
Nice-to-haves
Benefits
? Competitive compensation
,
? Startup equity
,
? Health insurance
,
? Flexibility in terms of remote work Apply Job! Are You the One We're Looking For?If you believe you have what it takes, submit your application without delay. We are keen to hear from talented candidates like you.
Apply Now