Research Scientist 6 - Machine Learning and Inference Research, AI Alignment Science

ppWe are seeking an experienced researcher for the bResearch Scientist 6 - Machine Learning and Inference Research, AI Alignment Science /b role who can establish and execute a strong research agenda in AI alignment science, pursue both internal and external impact, disseminate knowledge effectively and inspire others, collaborate with colleagues to deliver tangible business value, and help foster an open environment of innovation, intellectual rigor, and curiosity. /pulliLocation: Amsterdam, Netherlands /liliWork type: Onsite /liliTeam: Data Insights /li /ulpThe Machine Learning and Inference Research team is a dedicated research team building up Netflix’s technical capabilities by tackling fundamental research questions tied to our most important challenges and partnering closely with teams across the business to translate research into impact at scale. As a member of the team, you will leverage your technical expertise to shape roadmaps, collaborate across functions, and bring new ideas from exploration to impact. You will also engage actively with the broader research community by publishing at top venues, presenting at conferences, mentoring interns, and fostering academic collaborations. /ppThis role will pursue frontier, foundational research that shapes the direction of the field and influences how Netflix develops and applies advanced AI systems across internal workflows and member-facing products. /ph3What you bring /h3ulliTrack record of research excellence in the post-training and alignment of foundation models and agentic systems, with expertise in areas such as reinforcement learning, preference optimization and reward modeling, reasoning and test-time inference, model distillation, agent scaffolding and evaluation, multi-agent systems, memory and long-horizon interaction, calibration and uncertainty, interpretability, robustness, or safety. /liliPh.D. in a relevant area, with at least 2 years of post-Ph.D. experience in industry and/or academia. /liliExperience in applying research (especially your own) to transform real-world problems in collaboration with engineering and business teams. /liliExtensive research experience, in industry and/or academia, including as evidenced in top-tier publications. /liliRecognized for both technical expertise and the impact you drive, and trusted by stakeholders for collaboration, guidance, problem‑solving, and decision‑making. /liliExcellent judgment in identifying and framing ambiguous research and business problems and the links between the two. /liliDemonstrated ability to collaborate and build strong working relationships with colleagues and stakeholders to tackle big, cross‑functional problems. /liliEffective communication with technical, non‑technical, and mixed audiences. /liliAble to operate autonomously, take ownership in environments with minimal oversight, and lead work effectively with lightweight processes. /liliUplevels the greater org through sharing knowledge and guiding thought on the adoption of new methods. Actively mentors others and is sought out as a mentor. /li /ul /p #J-18808-Ljbffr