Data Scientist with AI and Optimization - Remote

Overview

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com 

In Short

• Drive performance optimization for AI engines.
• Tackle complex computational bottlenecks.
• Collaborate with multidisciplinary teams.
• Analyze and optimize AI engine code.
• Refactor code into efficient vectorized operations.
• Resolve computational inefficiencies related to GPU/TPU.
• Develop solutions for ODE solvers and optimization algorithms.
• Lead root cause analysis for performance limitations.
• Document improvements and monitor performance.
• Contribute to a roadmap for scalability enhancements.

Requirements

• Masters in Mathematics, Operations Research, Computer Science, or related field.
• Deep expertise in matrix decomposition and numerical optimization.
• Strong proficiency in Python with hands-on experience in JAX.
• Prior exposure to optimization in scientific computing.
• Familiarity with ensemble methods and memory management.
• Ability to communicate technical findings effectively.

Benefits

• Opportunity to work on high-impact AI projects.
• Collaborative and innovative work environment.
• Access to cutting-edge technology and tools.
• Professional growth and development opportunities.
• Flexible work arrangements.