Senior Research Scientist – AI

Job Description

Senior Research Scientist – AI - Objection Inc. | Built In Companies Jobs Articles Can't find your company? Create a company profile. View All Jobs Join Log In For Employers Objection Inc. Jobs Senior Research Scientist – AI Objection Inc. Senior Research Scientist – AI Posted 24 Days Ago Be an Early Applicant Hiring Remotely in United States Remote Senior level Artificial Intelligence • Digital Media • Information Technology • Legal Tech The Role Lead and define AI research programmes to build novel architectures and evaluation methods for automated knowledge acquisition, reasoning, and large-scale journalism evaluation. Design experiments, implement and evaluate new ML methods, mentor research engineers, and publish results while delivering deployable, production-quality systems. Summary Generated by Built In About Primary Far too few of the world's best journalists get the recognition, audience, or rewards their work deserves. Primary is building the infrastructure to change that. Primary Index is the first AI-native ranking system for journalism — the credibility standard for news in the AI economy. We evaluate individual journalists on the accuracy, depth, and craft of their published work through a purpose-built AI operating against a transparent, published methodology. Building an AI system that can faithfully assess factuality, evidence quality, source reliability, and editorial balance at scale — faithfully enough to earn the trust of journalists and the public — is a genuinely hard problem that requires new methods, not the application of existing ones. That is the work of this team. We are seeking an exceptional Research Scientist to help define and lead the next generation of AI systems for automated knowledge acquisition, reasoning and evaluation. Working closely with the Chief Scientist and other senior leaders, you will help shape the scientific direction of the Primary’s AI research. You will be expected not only to implement and evaluate novel AI methods, but also to formulate new research questions, design new AI architectures, and identify opportunities to materially advance the state of the art. Current research programmes include: large-scale evaluation and scoring of published journalism; AI systems that assess factuality, neutrality, evidence quality and source reliability; high-throughput local inference over very large text collections; adaptation and fine-tuning of open-weight language models; knowledge representation and reasoning for AI systems; new methods for evaluating, aligning and improving AI systems. Overview This is a research leadership role, not a management role. AI-assisted software development is expected and encouraged. The emphasis is on scientific judgement, creativity and technical leadership rather than expertise with particular implementation frameworks. We value intellectual independence and ambition within a team. We are looking for researchers who enjoy identifying important unsolved problems, developing original approaches, and critically evaluating competing hypotheses, leading to scaled, deployed, high-impact systems. The ability to formulate new research directions and lead them to successful outcomes is more important than experience with any particular software framework. Responsibilities You will: define and lead research projects and programmes in artificial intelligence; formulate new AI architectures, learning algorithms and evaluation methodologies; identify high-value research opportunities and translate them into executable programmes of work; design AI systems that combine language models, reasoning and knowledge identification, representation, understanding and use; develop novel approaches to large-scale content evaluation and knowledge representation; lead experimental design and interpretation; effectively employ and critically evaluate AI-based software development tools; mentor and collaborate with research engineers and contribute to the scientific development of the team; communicate results through technical reports and publications in leading AI venues. Essential qualifications You should demonstrate: a PhD in artificial intelligence, machine learning, computer science or a very closely related discipline, or equivalent evidence of research achievement; an outstanding record of original contributions to AI research; demonstrated ability to formulate, implement and evaluate novel AI methods or architectures; broad understanding across modern AI, including language models, learning, reasoning and knowledge representation; excellent scientific and engineering judgement and intellectual independence; outstanding written and verbal communication skills. Evidence of suitability Evidence of suitability includes one or more of: first-author publications introducing new AI methods, architectures or learning algorithms; substantial contributions to influential AI research programmes; demonstrated leadership of