About us
Skidaway was founded by a handful of deep learning, data platform, and cyber security experts. While we remain in stealth, we are working in partnership with a number of design partners and platform providers.
Our mission is to return the initiative to the defenders and away from the adversaries.
Role Description
This is a full-time role for a Deep Learning Engineer. The role requires a strong command of deep learning algorithms and approaches and the ability to apply them to real-world business problems. We build models from the ground up, so a thorough understanding of transformer-based models and similar approaches is critical.
Expertise in training and inference utilizing multi-GPU clusters is required. Experience in building transformer models for natural language processing is strongly preferred.
Our approach harnesses the collective for defense; subjects like transfer learning, the ability of our models to generalize, federated learning, and differential privacy are all day-to-day concerns where you will play a leading role.
You will be joining a small team, so your impact will be enormous. You will be on a journey with a very experienced team of successful entrepreneurs.
Qualifications
- 3+ years of experience in data science, statistics, or a related field
- Expertise in PyTorch, HuggingFace and related deep-learning packages
- Experience in transformer-based models
- Kaggle and similar competitive experiences are preferred as they show adaptability and speed
- OpenSource experience helpful
- Ability to work independently and as part of a cross-functional team
- Excellent written and verbal communication skills
- Cyber security experience preferred
- Passionate about building impactful technologies and organizations
- Master's or PhD degree in Computer Science, Statistics, Mathematics, or a related field