About the role
At Together AI, the Forward Deployed Engineer (FDE) role focuses on post-training for large language models (LLMs) within the Customer Success team. This position partners closely with strategic customers who use fine-tuning and reinforcement learning to customize open-source AI models. The engineer collaborates with Solutions Architects to provide deep expertise in post-training techniques, helping customers optimize data strategies, select algorithms, design experiments, and evaluate model improvements to ensure successful deployment and adoption of the platform.
Day-to-day responsibilities include guiding customers through data quality assessments, experiment design, hyperparameter tuning, and evaluation frameworks tailored to specific tasks. The engineer also advises on base model selection and workload sizing for reinforcement learning and fine-tuning projects. Acting as the main technical contact for key accounts, they lead projects from scoping through production, ensuring milestones are met while contributing feedback to shape product development and research initiatives.
Candidates need at least five years of experience in machine learning engineering or related roles, with hands-on expertise in post-training LLM techniques such as supervised fine-tuning and reinforcement learning algorithms. Strong Python skills, experimental rigor, and the ability to manage complex customer projects in cross-functional environments are essential. The role is full-time based in San Francisco, offering competitive compensation, equity, benefits, and flexible remote work options.