[Remote] Senior Machine Learning Engineer / Data Scientist (PhD Graduates) at FourKites

Chicago, Illinois, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI & Machine Learning, Data & AnalyticsIndustries

Skills

Key technologies and capabilities for this role

PythonPyTorchTensorFlowJAXDeep LearningTransformer ModelsOCRLLMsModel ScalingProblem-SolvingCommunication

Questions & Answers

Common questions about this position

What is the salary for this Senior Machine Learning Engineer position?

This information is not specified in the job description.

Is this role remote or does it require office work?

This information is not specified in the job description.

What skills are required for this role?

Required skills include a PhD in Computer Science, Machine Learning, AI or related field (completed within the last year), strong understanding of deep learning architectures especially transformers, experience with OCR systems, proficiency in Python and frameworks like PyTorch, TensorFlow or JAX, ability to implement research papers into code, problem-solving skills, and strong communication skills.

What does the company offer new PhD graduates in this role?

The role offers an ideal transition from academic research to industry, a structured onboarding program designed for recent PhD graduates, and opportunity to work on frontier AI models with real-world impact.

What makes a strong candidate for this position?

A strong candidate is a recent PhD graduate with relevant research focus in NLP, computer vision or multimodal learning, publications at top ML conferences, familiarity with distributed training, model efficiency techniques, evaluation methodologies, and MLOps practices.

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.

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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