AI Engineer (UAE)
Vatic Labs5 months ago
Abu Dhabi, United Arab EmiratesSenior
Responsibilities
- Design and develop frameworks and tools for foundational-model platforms and systems supporting trading and research.
- Collaborate with researchers and engineers to ensure frameworks work with cloud platforms, machine learning frameworks and libraries, and modern model architectures.
- Define and run large-scale experiments for rigorous evaluation and in-depth analysis of models.
- Develop high-performance software and optimize software and algorithms.
- Work with language, vision, multimodal, and structured data modalities.
Requirements
- Proven experience with large foundational models and a strong interest in their training, evaluation, understanding, and innovation.
- Advanced proficiency in Python development in a Linux environment.
- Strong understanding of machine learning, deep learning, and generative AI methods and technologies.
- Direct experience with multi-GPU model training.
- Demonstrable success building high-performance software and tuning or optimizing software and algorithms.
- Familiarity with parallel computing models and frameworks.
- Strong analytical, problem-solving, communication, and teamwork skills.
- Passion for trading, research, and technology, along with interest in open-source technologies and prototypes.
Benefits
- Flat structure with direct executive exposure and close collaboration with leadership.
- Full health insurance coverage for employees and dependents.
- Daily lunch provided at the office.
- The role is based in Abu Dhabi, UAE.
Categories
AI ResearchML Engineering
About Vatic Labs
Vatic Labs is a privately held quantitative trading firm that builds autonomous trading agents and low-latency systems for proprietary trading and market making in electronic markets. Its researchers, engineers, and traders apply machine learning and distributed computing to execute strategies and manage risk. Founded in 2013 and headquartered in New York, the firm trades its own capital and maintains infrastructure that supports high-performance research and execution.