Senior Machine Learning Engineer / Data Scientist (PhD Graduates)

Position Overview

• Location Type: [Not specified]
• Employment Type: [Not specified]
• Job Type: Research Scientist
• Salary: [Not specified]

This role is designed for a recent PhD graduate in Computer Science, Machine Learning, AI, or a related field. The position focuses on applying research expertise to develop and optimize AI systems, specifically in large language models (LLMs), optical character recognition (OCR), and model scaling. It offers a transition from academic research to an industry setting, with opportunities to work on cutting-edge AI models and contribute to real-world impact.

Requirements

• Education: PhD in Computer Science, Machine Learning, AI, or a related field (completed within the last year)
• Deep Learning: Strong understanding of deep learning architectures, particularly transformer-based models.
• OCR Experience: Experience with OCR systems and techniques for improving text recognition accuracy.
• Programming: Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, or JAX).
• Implementation: Demonstrated ability to implement and adapt research papers into working code.
• Problem-Solving: Excellent problem-solving skills with a methodical approach to experimentation.
• Communication: Strong communication skills to explain complex technical concepts clearly.

Responsibilities

• Lead research initiatives to improve OCR accuracy across diverse document types and languages.
• Train and fine-tune LLMs using domain-specific data to enhance performance in specialized contexts.
• Develop techniques to scale LLMs efficiently for high-volume production environments.
• Design and implement novel approaches to model optimization and evaluation.
• Collaborate with cross-functional teams to integrate AI solutions into production systems.
• Stay current with the latest research and incorporate state-of-the-art techniques.
• Document methodologies, experiments, and findings for both technical and non-technical audiences.

Preferred Qualifications

• Research focus during PhD in areas relevant to our work (NLP, computer vision, multimodal learning).
• Familiarity with distributed training systems for large-scale models.
• Experience with model quantization, pruning, and other efficiency techniques.
• Understanding of evaluation methodologies for assessing model performance.
• Knowledge of MLOps practices and tools for model deployment.
• Publications at top-tier ML conferences (NeurIPS, ICML, ACL, CVPR, etc.).

Application Instructions

[Not specified - Requires further information]

Company Information

FourKites® is the leader in AI-driven supply chain transformation. [Further details about FourKites would be beneficial here.]

What We Offer

• Ideal transition from academic research to industry application.
• Structured onboarding program designed specifically for recent PhD graduates.
• Opportunity to work on frontier AI models with real-world impact.
• Access to significant computing resources for ambitious research.
• Collaborative environment with other top AI researchers and engineers.
• Flexible work arrangements and competitive compensation.
• Support for continued professional development and conference attendance.
• Clear path for growth into senior technical or leadership roles.