Software Engineering LMTS

What you'll do

• Own and execute hands-on work across the full model development lifecycle.
• Lead end-to-end research initiatives on LLM training, fine-tuning, alignment, and optimization.
• Design and implement reinforcement learning and continuous learning pipelines for production use cases.
• Conduct rigorous experimentation to drive measurable improvements in AI models.
• Serve as the technical POC for complex AgentForce AI projects, driving alignment across teams.

What we're looking for

• Demonstrated hands-on experience owning the full model development lifecycle for large language models (LLMs).
• Deep expertise in large-scale model training and fine-tuning, reinforcement learning, and continuous learning systems.
• Strong background in model evaluation, alignment, and robustness in production environments.
• Advanced proficiency in Python with significant hands-on coding experience using PyTorch or TensorFlow.
• Experience mentoring junior researchers or engineers and influencing architectural decisions across AI projects.