Senior AI Research Engineer
Skills
AWS SagemakerArtificial IntelligenceData LoadingDeep LearningHigh Performance ComputingImage ProcessingOptimising
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Proficient with building and managing AWS/GCP infrastructure
- Experience in Python, deep learning frameworks, cloud computing, and software engineering
- Optimising inference of models from data movement, compiling, pruning, or other techniques
- Deploying and optimising models that run over several GPUs
- Previous exposure with Torch, SageMaker, and CUDA
- Knowledge of Generative AI, particularly diffusion-based image generation and VLMs
- Engineering experience with deep learning, LLMs, computer vision, AI model training, and data pipelines
- AI model and system performance tuning and optimisation
- Team player attitude capable of collaborating with cross-functional teams
- Curious and stays on top of new and changing tools and techniques in the AI space
- Experience with machine learning algorithms and tools (e.g., Pytorch, JAX), artificial intelligence, deep learning, and natural language processing
Nice to have
- Proficient with AWS/GCP infrastructure
- Experience in Python
- Experience in deep learning frameworks
- Cloud computing knowledge
- Software engineering skills
- Optimising model inference
- Experience with Torch, SageMaker, CUDA
- Understanding of Generative AI
- Experience with deep learning, LLMs, computer vision
- Experience in AI model training
- Team player attitude
- Curiosity for new AI tools and techniques
- Experience with ML algorithms and tools
Day to day
- Involved in training, evaluating, and engineering the training/inference infrastructure for large models for intelligence in visual domains
- Work with and interpret petabyte-scale data
- Build and optimise efficient systems for model research and/or apply AI techniques to create novel user experiences
- Mentor junior team members and partake in strategic planning
Hiring process
- Round 1 - Meet Your Recruiter
- Round 2 - Craft Interview
- Round 3 - Technical Task
- Round 4 - Values Interview
