Employer Industry: Technology and Information Services
Why consider this job opportunity:
- Opportunity for career advancement and growth within the organization
- Competitive compensation & benefits packages
- Flexible hybrid work model with the option to work from anywhere for up to 8 weeks per year
- Supportive workplace policies designed to help manage personal and professional responsibilities
- Access to cutting-edge methods and technologies in a collaborative environment
- Chance to make a real-world impact through meaningful projects and initiatives
What to Expect (Job Responsibilities):
- Lead strategic planning, hiring, and management in foundational research
- Innovate and create new state-of-the-art Agent AI/LLM approaches
- Engage in the entire research & model development lifecycle, including coding and delivering high-quality reports
- Collaborate with a global team of research engineers and academic partners
- Communicate technical findings through seminars, lectures, and publications
What is Required (Qualifications):
- PhD in a relevant discipline
- 3+ years of hands-on experience leading teams building advanced ML/NLP/AI systems
- Strong publication record in top-tier conferences focused on agent systems or multi-agent coordination
- Familiarity with deep learning frameworks such as PyTorch, JAX, or TensorFlow
- Excellent communication skills to report and present research findings clearly
How to Stand Out (Preferred Qualifications):
- High-impact publications in top-tier conferences or influence in the research community
- 5+ years of experience leading teams in advanced ML/NLP/IR systems for commercial applications
- Extensive experience with deep learning and large-scale model training
- Experience working on agent-based systems or multi-agent coordination in LLM contexts
- Strong software and infrastructure engineering skills
#AIResearch #MachineLearning #CareerGrowth #FlexibleWork #DataScience
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