Are you an experienced research scientist with a passion for AI? Do you thrive on leading cutting-edge projects that push the boundaries of generative models and machine learning? We are looking for an innovative and driven Research Scientist Manager in Generative AI to join our dynamic team at [Your Company Name]. This role offers the exciting opportunity to steer transformative AI research and make a significant impact on the future of technology.
As a Research Scientist Manager, you will lead a team of top-tier researchers in exploring new ways to advance generative models and AI-driven solutions. You will play a pivotal role in shaping the research agenda, developing novel approaches to AI challenges, and working closely with both internal and external stakeholders. If you're ready to take the lead in this fast-paced, rapidly evolving field, we want to hear from you.
Key Responsibilities:
Lead Research Initiatives: Drive the strategy and execution of high-impact AI research, with a focus on generative models, machine learning, and deep learning techniques.
Team Leadership: Manage and mentor a team of research scientists, fostering a collaborative and innovative environment where team members can thrive and contribute their best work.
Innovative Problem Solving: Identify key research challenges and develop novel AI models and algorithms to address them. Bring fresh ideas and solutions that push the frontiers of generative AI.
Cross-Functional Collaboration: Work closely with product, engineering, and data science teams to ensure research outcomes are aligned with business objectives and product roadmaps.
Thought Leadership: Stay at the forefront of AI research, representing the company at conferences, publishing papers in top-tier journals, and contributing to the broader AI research community.
Manage Research Projects: Oversee multiple research projects, ensuring they stay on track and meet deadlines. Balance the need for exploration with practical, results-driven outcomes.
Drive Innovation: Promote a culture of continuous learning and curiosity, encouraging the team to experiment with new methodologies, architectures, and data sources.
What We’re Looking For:
Advanced Degree: PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field, or equivalent experience.
Experience: 5+ years of experience in generative AI research, with at least 2 years in a leadership or management role.
Deep Knowledge: Extensive expertise in machine learning algorithms, generative models (e.g., GANs, VAEs), and deep learning frameworks (TensorFlow, PyTorch, etc.).
Research Impact: A proven track record of published research in top-tier journals or conferences (e.g., NeurIPS, ICML, CVPR).
Leadership Skills: Strong leadership abilities with experience building and managing high-performing research teams.
Collaboration: Ability to work effectively in cross-functional teams, communicate complex research findings to both technical and non-technical stakeholders.
Passion for AI: A deep passion for AI technologies, an eagerness to explore new approaches, and a commitment to contributing to the advancement of the field.
