Senior AI/ML Scientist
Confirmed on the employer's own hiring board on Nov 5, 2026. First seen by Alion on Nov 5, 2026.
Everseen: A leader in vision AI solutions for the world’s leading retailers.
The Role
- 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.
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.