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Research Engineer, Large-Scale Training
Summary by AIEngineer.careers
Research Engineer, Large-Scale Training is a AI Research Engineer role (full-time). with Together AI. in SAN FRANCISCO, US. Compensation shown: $200K–$290K. Imported listing (source: zerogtalent.com). Apply on the employer's site (zerogtalent.com).
Imported listing (source: zerogtalent.com) · Apply on zerogtalent.com
SAN FRANCISCO · US
$200K–$290K
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from zerogtalent.com
Together AI is looking for a Research Engineer to join the Model Shaping team, focusing on large-scale training infrastructure. You will profile and optimize distributed training workloads, integrate new model architectures, and productionize novel training methods from research. This role involves working closely with research scientists to ensure efficient fine-tuning and reliable deployment of open-source foundation models.
Responsibilities
- Design, implement, and optimize core components of Together's large-scale training infrastructure.
- Integrate new model architectures, validate training correctness and convergence, and optimize performance for production fine-tuning workloads.
- Profile distributed training workloads to identify and eliminate bottlenecks across compute, memory, and communication.
- Design and execute experiments to validate performance hypotheses and benchmark new approaches against state-of-the-art methods.
- Partner closely with Research Scientists to productionize novel training methods and contribute to publications and open-source releases.
- Rapidly enable support for newly released open-source foundation models on the Together platform.
- Build and maintain experimental infrastructure that accelerates research while ensuring production-quality reliability and scalability.
Together AI
San Francisco · US · 434+ employees
Together AI is an AI-native cloud platform that provides tools for generative AI development, including inference acceleration, model shaping, and pre-training. It offers GPU clusters and an inference engine to help developers scale AI applications.
