Jobs in McLean, VA

About the role

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

What you'll bring

• Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research
• PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields
• Behavioral Models • PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series)
• Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR
• Worked on scaling graph models to greater than 50m nodes
• Experience with large scale deep learning based recommender systems
• Experience with production real-time and streaming environments
• Contributions to common open source frameworks (pytorch-geometric, DGL)
• Proposed new methods for inference or representation learning on graphs or sequences
• Worked datasets with 100m+ users
• Demonstrated ability to reproduce and extend peer-reviewed AI research using modern open-source frameworks
• Experience designing controlled experiments and documenting reproducibility results for internal or public research

Locations