In this role you will work on-site in Princeton, NJ. The position is a full-time position for at least 3 months and remote work is not available.
The challenge:
- During this internship, the candidate will experience the excitement and challenges of industrial research and be part of a world class team. This person will:
- Contribute to the task of developing knowledge synthesis and reasoning framework.
- Contribute to the task of developing autonomous decision-making agent in complex environments.
- Work on fast-paced co-creation project with quickly changing requirements in the field of program analysis and synthesis.
- Work on low-TRL research projects.
- Develop prototypes and proof of concepts, as appropriate.
- Develop demonstrators and participate in technology transition to business.
- Create technical reports.
- Create academic publications.
Education and Experience:
Required:
- PhD candidate students in Computer Science, Computational Cognitive Science, Applied Mathematics
- Research specialization in the program synthesis and/or knowledge discovery from unstructured information.
- Research specialization in decision-making methods such as reinforcement learning.
- Experience with programming languages such as C++, Python, R, or MATLAB.
Preferred:
- Familiar with techniques in probabilistic programming and probabilistic graphical models.
- Familiar with operating on graph-structured data.
Basic Qualifications:
- Experience in advancing AI/ML techniques including core contributions to open-source libraries and frameworks in computer vision.
- Advanced programming skills in Python, C, or MATLAB.
- Proficiency in English, both written and verbal.
Preferred Skills:
- Strong analytical and problem-solving skills
- Ability to work independently and as part of a team.
- Familiarity with large reasoning models and handling multiple modalities.
- Proficiency in Python and PyTorch..
- Knowledge of advanced statistical methods and data visualization techniques.
- Strong organizational and project management skills.
You’ll benefit from:
The pay range for this position is $36.00-$45.00 per hour. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location.