4 months ago
Base Salary
$168k - $255k/yr
Responsibilities
- Develop novel machine learning methods and contribute to the team’s research agenda
- Identify areas for innovation based on real-world computer vision use cases
- Create approaches that generalize across diverse data and run efficiently on different hardware targets
- Write research papers aimed at top conferences
- Translate research methods into production systems running at scale
Requirements
- Master’s or PhD in AI, machine learning, computer vision, robotics, or a similar technical field, or equivalent industry experience
- History of publications at conferences or journals such as CVPR, NeurIPS, or ICLR
- Proficiency in Python
- Commitment to scientific rigor, reproducibility, and high-quality software
- Passion for computer vision and solving valuable user problems
- Pragmatic focus on practical utility
- Preferred: experience optimizing models for edge hardware
- Preferred: experience training models on distributed infrastructure
- Preferred: expertise in PyTorch
Benefits
- Distributed work with options to work remotely, from company hubs in New York City, San Francisco, or Brazil, or from coworking spaces
- $4,000/year travel stipend
- Relocation bonus for hub-based work
- Up to 100% health insurance coverage for the employee and partner or family
- $350/month productivity stipend
- $350/month AI stipend
- $500 one-time home office stipend
- $150/month team lunch stipend
- Unlimited PTO with an annual two-week minimum
- 12 weeks parental leave
- Company equity
Categories
AI ResearchML Engineering
About Roboflow
Roboflow creates software-as-a-service products to make building with computer vision easy. Over 1,000,000 developers use Roboflow to manage image data, annotate and label datasets, apply preprocessing and augmentations, convert annotation file formats, train a computer vision model in one-click, and deploy models via API or to the edge. https://roboflow.com