Research Engineer – Robotics – World Modelling – Fair
| Company | Meta |
|---|---|
| Location | Montreal, QC, Canada |
| Salary | $159000 – $213000 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Senior, Expert or higher |
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- Master’s degree in Computer Science, Computer Engineering, a relevant technical field, and 7+ years of equivalent domain-specific industry experience
- 4+ Years research experience in machine learning, artificial intelligence, computational statistics, applied mathematics, or related areas
- Experience coding software and executing complex experiments
- Experience with Python and PyTorch
- Research experience in one or more of these areas: computer vision, multimodal perception, robotics, self-supervised representation learning, reinforcement learning and control
Responsibilities
- Leading, collaborating, and executing on research that pushes forward the state of the art in artificial intelligence
- Contributing to experimental design, implementation, evaluation, and reporting results
- Working with and creating large datasets and evaluation benchmarks
- Collaborating with scientists and engineers in a large cross-functional team
- Building optimized software tooling and infrastructure to accelerate research outcomes
- Influence progress of relevant research communities by producing publications
- Open source high quality code and produce reproducible research
- Mentor other engineers & researchers, and improve the quality of engineering work in the broader team
Preferred Qualifications
- PhD in the field of Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Author-Contributed Research Publications in AI conferences like ICML, ICLR, NeurIPS, CVPR, ICCV, CoRL, or similar
- Demonstrated research and software engineering experience via work experience, coding competitions, or widely used contributions in open source repositories (for example, GitHub)
- Experience with C++, CUDA and model optimization
- Experience developing efficient, scalable distributed systems and/or training pipelines