FourKites

Senior Machine Learning Engineer / Data Scientist (PhD Graduates)

Chicago, Illinois, United States

FourKites Logo
Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Data & AnalyticsIndustries

Requirements

Candidates must hold a PhD in Computer Science, Machine Learning, AI, or a related field completed within the last year, demonstrating a strong understanding of deep learning architectures, particularly transformer-based models, and proficiency in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX. They should possess demonstrated ability to implement and adapt research papers into working code, along with excellent problem-solving skills and a methodical approach to experimentation.

Responsibilities

The AI Frontier Model Scientist will lead research initiatives to improve OCR accuracy across diverse document types and languages, train and fine-tune LLMs using domain-specific data, develop techniques to scale LLMs efficiently, design and implement novel approaches to model optimization and evaluation, collaborate with cross-functional teams to integrate AI solutions into production systems, and stay current with the latest research incorporating state-of-the-art techniques while documenting methodologies, experiments, and findings for both technical and non-technical audiences.

Skills

Python
PyTorch
TensorFlow
JAX
Deep Learning
Transformer Models
OCR
LLMs
Model Scaling
Problem-Solving
Communication

FourKites

Real-time supply chain visibility platform

About FourKites

FourKites provides a platform for supply chain management that focuses on real-time visibility and predictive analytics. The platform collects data from millions of shipments worldwide and uses AI technology to analyze this data, offering businesses insights to improve their supply chain operations. This helps companies manage risks, enhance responsiveness, and optimize their processes. FourKites connects all parts of a supply chain through its applications, ensuring that teams have access to the same information. A unique feature of their platform is Fin AI, which uses natural language processing to help businesses find optimization opportunities and automate tasks. Unlike its competitors, FourKites stands out by combining a vast real-time supply chain network with specialized applications and patented AI technology. The goal of FourKites is to help large brands manage their supply chains more effectively and efficiently.

Key Metrics

Chicago, IllinoisHeadquarters
2014Year Founded
$205.8MTotal Funding
LATE_VCCompany Stage
Data & Analytics, AI & Machine LearningIndustries
501-1,000Employees

Benefits

Medical, dental, & vision
PTO
401k with company match
Annual wellness stipend
Ongoing learning & development opportunities

Risks

Emergence of competitors like Auger with significant funding challenges FourKites' market share.
Overhaul's $55 million funding round intensifies competition in supply chain visibility.
Rapid market growth may attract more entrants, increasing competition for FourKites.

Differentiation

FourKites tracks 3 million shipments daily across multiple transportation modes.
The platform integrates real-time data with machine learning for end-to-end supply chain visibility.
FourKites' YardWorks suite optimizes gate and yard logistics with AI and computer vision.

Upsides

FourKites is recognized as a leader in Gartner's Magic Quadrant for four consecutive years.
The company collaborates with major brands like Organik Kimya and Clariant to enhance efficiency.
Growing demand for AI-powered supply chain tools boosts FourKites' market potential.

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