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machine learning stakeholder management mlops cross-team collaboration compute resource planning📋 Description
- Embed in a research domain to understand the technical landscape.
- Drive end-to-end execution of complex, ambiguous research initiatives.
- Establish processes to bring structure to unstructured research.
- Coordinate large-scale compute resource planning across streams.
- Equip leadership to decide quickly on technical tradeoffs.
- Connect research, engineering, and product to accelerate execution.
🎯 Requirements
- ML research or engineering background with years building technical programs.
- Fast learner capable of understanding complex topics.
- Resourceful, high-agency, and able to navigate ambiguity.
- Operational ownership of production ML systems: monitoring, incidents, and performance.
- Excellent stakeholder management; ability to influence senior technical staff.
- Comfortable with high-stakes environments where compute spend and model timelines matter.
🎁 Benefits
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Lovely office space
🛃 Visa sponsorship
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