Senior AI Research Engineer
Skills
AWS SagemakerArtificial IntelligenceData LoadingData PipelinesDeep LearningHigh Performance ComputingOptimising
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Optimise all aspects of model training from data loading to output over 1000s of GPUs
- Profile and diagnose points of latency and address areas of low-level optimisation and network communications
- Design high-performance distributed systems inference and training
- Build infrastructure for complex multimodal data such as video, imagery, 3D data types, text
- Take AI research output from prototype to scalable, production-ready code
- Collaborate with other technical teams on new features, improvements and platform stability
Nice to have
- Team player attitude
- Proficient with AWS/GCP infrastructure
- Deep learning frameworks
- Experience with AI techniques
- Knowledge of Generative AI
- Curious about new and changing tools
Day to day
- Join the brightest minds at Leonardo.Ai
- Train, evaluate, and engineer training/inference infrastructure for large models in visual domains
- Work with and interpret petabyte-scale data
- Mentor junior team members and play a key role in strategic planning
Hiring process
- Meet Your Recruiter 30min video call
- Craft Interview meet team members and cover past projects
- Technical Task assess skills and problem-solving
- Values Interview informal conversation with Department Head
