Senior AI/ML Scientist
- Acts as a scientific leader who defines and drives the AI research strategy for critical business domains.
- Influences the company's technical direction, mentors across teams, and brings breakthrough ideas from fundamental research to production.
Responsibilities:
Defines and Oversees Research Strategy
- Sets the long-term research vision for major projects or entire product areas.
- Oversees the scientific direction of end-to-end project delivery, ensuring alignment with strategic corporate goals.
Pioneers Breakthrough Innovations
- Moves beyond existing paradigms to invent and develop fundamentally new AI methodologies.
- Proposes and leads architecture-wide improvements based on emerging scientific insights.
Excels at Scientific Leadership and Mentorship
- Shapes the organization's scientific culture.
- Excels at coaching other scientists and technical leaders, setting the standard for research practices, and resolving scientific and technical conflicts.
Drives High-Impact Cross-Functional Initiatives
- Regularly leads and influences the most critical, high-impact collaborations between research, product, and engineering. Is accountable for the successful application of research to solve key business challenges.
Acts as a Voice for the Scientific Community
- Represents the company's research interests both internally and externally.
- Authors and reviews papers for top-tier academic publications, building the company's reputation for innovation.
Demonstrates Deep Business Acumen
- Possesses an excellent, nuanced understanding of how scientific investments and research directions impact the broader business, influencing product strategy and long-term roadmaps.
Intellectual Property
- Translate complex AI systems into robust, legally defensible claims while ensuring alignment with company IP strategy.
Candidate Profile & Requirements
Profile and Skills
Critical Skills
Domain Mastery: Recognized as a leading internal expert in a specific AI sub-field, with the ability to contribute to the state of the art.
Invention of Novel Techniques: Proven ability to invent and develop new algorithms, architectures, and methodologies from first principles to solve unique, complex problems.
AI System & Architectural Design: The ability to design and reason about end-to-end AI systems, including data pipelines, model interactions, and infrastructure at scale.
Large-Scale Program Design: The ability to scope, structure, and plan complex, multi-faceted research programs that may span multiple quarters or years.
Advanced Theoretical Modeling: The capacity to engage with, critique, and contribute to the deep theoretical underpinnings of machine learning.
Experience:- 5+ Years
Education:- PhD Track or PhD
Competencies for Success
Strategic Thinking: Defines long-term research roadmaps that anticipate future business needs and technological shifts, ensuring AI strategy creates a sustainable competitive advantage.
Influence & Leadership: Inspires and guides teams (often without direct authority) toward a compelling technical vision, driving consensus among senior leaders on critical decisions.
Navigating Ambiguity: Thrives in and provides clarity to highly unstructured and high-risk problem spaces, confidently defining the path forward where none exists.
Business Acumen: Demonstrates a deep, intuitive understanding of the market, product viability, and financial implications of research, consistently connecting scientific work to business impact.
Scientific Diplomacy: Skillfully manages and resolves high-stakes scientific debates and technical conflicts, fostering a collaborative and intellectually rigorous environment.
Organizational Impact: Looks beyond their own team to identify and drive improvements in technology, processes, and culture that benefit the entire R&D organization.
About Everseen
Our Culture
