Job Title

We''re building something the enterprise world doesn''t have yet: an Enterprise World Model. While the rest of the field races to scale LLMs as the primary path to intelligence, we see a more principled opportunity in a hybrid architecture by combining the semantic richness of LLMs with the structural reasoning capabilities of world models. As such, we are developing Enterprise World Models (EWMs) that can understand, simulate, and act across complex enterprise systems. This isn''t our first time building something that matters. Skyfall was founded by the original Maluuba team, pioneers of the deep learning revolution, who worked closely with leaders such as Yoshua Bengio and Richard Sutton, before Maluubas $160M acquisition by Microsoft, where it became Microsofts AI research center in Canada. We''ve built companies before. We''ve made research breakthroughs before. Now we''re doing it again, this time with a clear target: the next $5B enterprise AI company. We''re VC-backed, moving fast, and assembling a world-class team to match our ambitions. We''re not building another AI wrapper instead we are building the next foundation layer for enterprise AI. Job Overview Skyfall AI is seeking a Research Engineer (Member of Technical Staff) to join our team to work on our journey towards an autonomous enterprise. We are looking for strong engineers who have handson experience in the following areas: GPU and inferencetime acceleration and optimization, LLM posttraining, parallelization, prompt tuning, and banditbased tree search. Job Responsibilities Develop tools and infrastructure for running models in interactive environments Optimize GPU/inference performance and parallelization Optimize code refinement & tree search performance and parallelization Develop methods for code-based world modeling Contribute to publications and open source projects Minimum Qualifications Master''s degree in Computer Science or other relevant technical field Proven programming experience in Python Experience with cloud GPU environments such as AWS, Lambda, Handson experience with Pytorch Preferred Qualifications Published papers at a top conference (i.e NeurIPS, ACL, ICML, ICLR etc) Benefits Competitive salary with 80% health and dental coverage 15 vacation days and 4 paid sick days annually Regular socials and annual team retreats Hybrid setup with a team of sharp, curious people who genuinely love what they build #J-18808-Ljbffr