Overview
Engage deeply with research teams on pre-training, post-training, multimodal systems, infrastructure, and safety/alignment work Prototype and evaluate models, techniques, and infrastructure to develop insights and inform strategic decisions Analyze technical tradeoffs and synthesize findings into clear, actionable recommendations for leadership Stay at the forefront of AI research, tracking emerging techniques and evaluating their applicability to our work Drive critical technical initiatives from conception through execution, ensuring alignment with strategic objectives Serve as a bridge between the CEO and research teams, ensuring clear communication and alignment on priorities Bachelor's degree in computer science or related technical field AND 4+ years technical engineering experience with coding OR equivalent experience. 8+ years of experience in software engineering, machine learni
Full job description
Full Job Description
Engage deeply with research teams on pre-training, post-training, multimodal systems, infrastructure, and safety/alignment work Prototype and evaluate models, techniques, and infrastructure to develop insights and inform strategic decisions Analyze technical tradeoffs and synthesize findings into clear, actionable recommendations for leadership Stay at the forefront of AI research, tracking emerging techniques and evaluating their applicability to our work Drive critical technical initiatives from conception through execution, ensuring alignment with strategic objectives Serve as a bridge between the CEO and research teams, ensuring clear communication and alignment on priorities Bachelor's degree in computer science or related technical field AND 4+ years technical engineering experience with coding OR equivalent experience. 8+ years of experience in software engineering, machine learning, or AI research. Advanced degree (MS/PhD) in Computer Science, Machine Learning, or related field. Software engineering skills with the ability to rapidly prototype and evaluate technical solutions. Understanding modern ML techniques, including large language models, multimodal systems, agents, or related areas. Written and verbal communication skills, with the ability to distill complex technical concepts for executive audiences. Track record of operating effectively in fast-paced, ambiguous environments. Ability to context-switch across diverse technical domains. Published research at top ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.) Experience at a leading AI research lab or startup. Experience with model training, infrastructure, or AI safety research.
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