Research Management
Research managers in this role oversee teams developing AI solutions for complex scientific and technical challenges, from drug discovery and autonomous systems to model evaluation and safety research. They balance hands-on technical leadership with strategic planning, setting research directions and priorities while mentoring scientists and engineers through exploratory work. What distinguishes these leaders is their ability to translate frontier AI research into measurable outcomes—whether that's evaluating model capabilities, optimizing machine learning pipelines, building new evaluation frameworks, or steering teams toward products that solve real customer problems. They typically operate within specialized research functions nested within larger product or engineering organizations, working cross-functionally to ensure research breakthroughs integrate into platforms and services that matter.
Skills
What companies are looking for in this role.
Leading and mentoring multidisciplinary research teams across applied and foundational AI problems
Defining and executing research roadmaps aligned with strategic business objectives and product impact
Collaborating with cross-functional teams including engineering, product, and external partners
Translating cutting-edge research into production-ready systems and deployable solutions
Designing and implementing scalable machine learning pipelines and infrastructure
Advancing large language model training, fine-tuning, and inference optimization techniques
Conducting rigorous evaluation and benchmarking of AI model capabilities and limitations
Publishing research findings and presenting work at top-tier conferences
Managing complex data collection, labeling, and quality assurance processes
Optimizing compute resource allocation and managing infrastructure constraints
Developing causal inference and statistical modeling approaches for real-world data analysis
Developing post-training techniques including reinforcement learning and preference optimization
Building agentic AI systems and managing reinforcement learning environments
Applying machine learning to domain-specific scientific problems and translational research
Implementing data-centric AI development approaches and dataset creation methodologies
Architecting foundation model distillation and teacher-student model frameworks
Fostering collaborative team culture emphasizing innovation, knowledge sharing, and continuous learning
Recruiting, hiring, and onboarding high-caliber research talent
Communicating complex technical concepts to diverse stakeholders including executives and non-technical partners
Navigating ambiguity and managing shifting priorities in fast-paced, dynamic environments
Building strong relationships with external academic, industry, and government partners
Providing strategic input and scientific leadership on domain-specific applications and use cases
Technology
The tools and technologies that define this role.
Open Jobs
32 open Research Management jobs across 17 companies.
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