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Sr. Staff Machine Learning Engineer, Applied Research Science at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a . Sr. Staff Machine Learning Engineer, Applied Research Science. in the . United States. .. This role offers the opportunity to lead advanced machine learning research and engineering at scale, bridging applied research with production-ready solutions. You will work on high-impact projects involving generative recommender systems, reinforcement learning, multi-modal representation learning, and graph neural networks. The position involves optimizing ML frameworks, scaling large-scale infrastructure, and driving efficiency across complex systems. You will collaborate with cross-functional teams, mentor peers, and influence technical strategy to maximize impact. Your work will directly shape the performance and innovation of machine learning systems that serve millions of users.. Accountabilities:. ·         Lead design, development, and maintenance of advanced machine learning solutions across key business areas.. ·         Drive technical strategy for scaling and improving ML infrastructure efficiency.. ·         Manage high-impact ML projects, prioritizing deliverables and providing guidance to teams.. ·         Collaborate cross-functionally to align goals, outcomes, and timelines.. ·         Conduct applied research in ML efficiency, reinforcement learning, generative models, and graph-based methods.. ·         Mentor and support engineers and researchers to foster technical growth and knowledge sharing.. ·         MS or PhD in Computer Science or a related field.. ·         10+ years of industry experience in machine learning, applied research, or related fields.. ·         Strong expertise in ML frameworks (e.g., PyTorch) and distributed systems.. ·         Proven ability to scale ML models and infrastructure efficiently.. ·         Experience solving complex analytical problems and conducting applied research.. ·         Excellent collaboration and communication skills, capable of working across teams.. ·         Comfort with ambiguity and ability to adapt in a dynamic environment.. Company Location: United States.