Job Responsibilities:
- Conduct end-to-end research in collaboration with internal and external researchers and applied engineering teams.
- Engage in all aspects of the research lifecycle, including formulating problems, gathering data, generating hypotheses, developing models and algorithms, conducting experiments, building prototype applications, and communicating research significance.
- Produce outputs that lead to high-impact business applications, open-source software, patents, and publications in top AI/ML conferences and journals.
- Participate in relevant top-tier academic conferences to broaden the impact of your contributions.
Required Qualifications, Capabilities, and Skills:
- PhD in Computer Science or related field, or an MSc with commercial experience.
- Strong expertise in one or more fundamental AI and ML techniques (e.g., search, time series analysis, RL), evidenced by research publications in prominent venues.
- Curiosity and creativity in approach to problem-solving.
- Effective verbal and written communication skills with technical and business audiences.
- Demonstrated ability to work on multi-disciplinary teams with diverse backgrounds.
Preferred Qualifications, Capabilities, and Skills:
- Strong expertise in specialized areas such as robotics and autonomous systems, real-time control, game theory, deep learning, and time series forecasting.
- Extensive programming skills in Python.
- Proficiency with orchestration frameworks, SQL, and other analytical tools.
- Proficiency with rapid prototyping and disciplined software development processes