Key skills
AIMachine LearningMLLeadership
About this role
Role Overview
- Design and build the overall architecture for a multi-model ML system
- Develop robust interfaces between sub-models to enable modularity
- Implement model orchestration logic
- Build and maintain pipelines for training, testing, and deploying multiple models
- Optimize inference efficiency and reproducibility by designing clean APIs
- Translate conceptual product flow into technical architecture diagrams
- Implement model monitoring and versioning infrastructure
- Collaborate with data engineers and researchers
- Lead efforts to refactor and scale ML infrastructure
Requirements
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, Computational Biology, Data Science, or a related field
- Proven experience developing and deploying multi-model machine learning systems in a scientific or numerical domain
- Exposure to hybrid modeling approaches and/or reinforcement learning strategies
- 3+ years' experience in ML model design and deployment
- Experience with multi-model systems
- Worked with numerical/scientific datasets (multi-modal datasets)
- Hybrid modelling and/or RL (AI systems)
Benefits
- A competitive salary and benefits package
- healthcare
- paid time off
- wellness benefits
- stock options
- A safe, supportive, and collaborative environment
- mentorship from the leadership team
- opportunities to learn new skills
- opportunities to explore interests beyond your core role.