- Role type: ML Tech Lead (non-people management) Work location: Remote
- Position overview:
- Play a critical role in shaping the strategy, defining metrics and counter-metrics, and setting goals and priorities for the team ML system design, ML excellence, and identify and develop need new metrics plan.
- Lead projects and teams accordingly including develop custom/novel ML architectures.
- Function as go-to person to escalate the most complex online / production performance and evaluation issues beyond modeling and how the machine learning system interacts with the other systems around it.
- Re-evaluate the tradeoffs of already shipped features/ML systems and drive large efforts across multiple teams.
- Significantly level up the quality of ML work in the broader team around you
- Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models.
- Code deliverables in tandem with the engineering team
- Adapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU)
- Suggest, collect, and synthesize requirements and create effective feature roadmap.
- Familiarity with end-to-end ML build process including problem navigation, training data, feature engineering, evaluation, etc.
- Serve as mentor to ML engineering staff - set direction for other engineers inside your and in other teams working in the same area usually through providing general guidance, defining strategy and principals.
Checkout links below:
Interview length: 45-minutes
- Focus areas:
- Relevant ML Experience
- ML Technical breadth and depth
- Project Management
- Leadership ability
- ML technical contributions to current team
- Agility
- Handling Constructive feedback
- Working in “manage up” environment
- Motivation
- Insightful links: