greenhouse

Forward Deployed Engineer, GenAI

Scale AI

CAN

Junior · 2+ years experience

Discovered 2 weeks ago

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Drive Impact: Directly contribute to the advancement of AI by delivering critical data solutions for leading AI innovators and government agencies.
Customer Collaboration: Interact daily with our technical customers, understanding their unique challenges and translating them into impactful solutions.
End-to-End Development: Design, build, and deploy features across the entire stack, from front-end interfaces to back-end systems and infrastructure.
Rapid Experimentation: Deliver high-quality experiments quickly, iterating quickly to meet customer needs and drive innovation.
Strategic Influence: Play a key role in shaping our engineering culture, values, and processes, contributing to the growth of our team and the evolution of our product.
Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge data solutions, collaborating with leading AI researchers, and directly influencing the product roadmap. You'll work on everything from large-scale system architecture to customer-facing front-end application design.
Leadership Growth: This role offers a unique opportunity to lead critical projects, shape our engineering culture, and accelerate your career growth in the rapidly evolving field of Generative AI. You'll be positioned to become a future leader in a company defining the next era of technology.

At least 2 years of relevant experience is preferred
Proven track record of shipping high-quality products and features at scale.
Strong problem-solving skills and the ability to work independently or as part of a collaborative team.
Desire to thrive in a fast-paced, dynamic environment.
Ability to turn business and product ideas into engineering solutions.
Strong coding abilities and the ability to effectively communicate complex technical concepts to both technical and non-technical audiences.
Ability to adapt quickly to the ever-changing world of generative AI.
Excited to join a dynamic, hybrid team in either San Francisco or New York City.
Preferred Qualifications:

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