Job Description
DESCRIPTION:
Summary:
• Research Scientist IV - Neuro-symbolic Representation Learning
Description
• At Facebook Reality Labs, our goal is to explore, innovate and design novel interfaces and hardware for the next generation of virtual, augmented, and mixed reality experiences. We are driving research towards a vision of an always-on AR device that can provide contextually relevant assistance across a range of complex, dynamic, real-world tasks in natural environments. To this end, we are looking for a representation learning research scientist who can accelerate the team’s research.
Responsibilities
• Exploring and implementing methods published for neuro-symbolic representations, object-centric representations, relational learning, and compositional representations.
• Collaboration and experimentation on novel state-of-the-art representation learning algorithms and models with researchers.
• Collaboration with engineers to train, test and deploy models for AR/VR prototypes, and other related work.
Minimum qualifications
• Familiarity with embodied artificial intelligence (AI), machine learning and optimization.
• Experience with representation learning.
• Minimum of 2 years’ experience with implementing and training/testing ML models using at least one deep learning toolkit (e.g., PyTorch or TensorFlow).
• Experience implementing AI/ML methods from research papers.
• Excellent research and communication skills involving defining problems, exploring solutions, and analyzing and presenting ideas and results.
Preferred qualifications
• Background in representation learning, neuro-symbolic representations, object-centric representations, relational learning, or related fields.
• Experience with distributed training, GPU management, hyperparameter tuning etc.
• Published paper/(s) in top conferences (CVPR, ICCV, ICML, NeurIPS, IJCAI, AAAI, AAMAS, EECV, ICLR, ICRA, IROS, RSS, CoRL etc).
Notes:
• 4-5 years of total experience (PhD Included as experience).
• Educational background
• Required: MS in computer science, applied math/control, or a related field.
• Preferred: PhD in computer science, applied math/control, or a related field.