Senior Machine Learning Engineer / Data Scientist (PhD Graduates)
Description For Senior Machine Learning Engineer / Data Scientist (PhD Graduates)
FourKites, a leader in AI-driven supply chain transformation, is seeking a Senior Machine Learning Engineer/Data Scientist with a fresh PhD to join their innovative team. This role represents an ideal transition from academic research to industry application, focusing on cutting-edge AI challenges including large language models (LLMs) and optical character recognition (OCR). The position offers a unique opportunity to work on frontier AI models with real-world impact in supply chain optimization.
The role combines deep technical work with practical applications, requiring expertise in deep learning architectures, particularly transformer-based models, and proficiency in modern ML frameworks. You'll be responsible for leading research initiatives, training and fine-tuning LLMs, and developing scalable AI solutions that directly impact the company's Intelligent Control Tower™ platform.
The ideal candidate will have completed their PhD in Computer Science, Machine Learning, AI, or a related field within the last year, bringing fresh research perspectives to industry challenges. The position offers comprehensive benefits, including immediate medical coverage, generous PTO, home office setup support, and ongoing professional development opportunities.
Working at FourKites means joining a team that's transforming global supply chains through AI innovation. You'll have access to significant computing resources for ambitious research projects and enjoy a collaborative environment with other top AI researchers and engineers. The role offers both technical growth and potential pathways into senior technical or leadership positions.
Responsibilities For Senior Machine Learning Engineer / Data Scientist (PhD Graduates)
- 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 for production environments
- Design and implement novel approaches to model optimization and evaluation
- Collaborate with cross-functional teams to integrate AI solutions
- Stay current with latest research and incorporate state-of-the-art techniques
- Document methodologies, experiments, and findings
Requirements For Senior Machine Learning Engineer / Data Scientist (PhD Graduates)
- PhD in Computer Science, Machine Learning, AI, or related field (completed within the last year)
- Strong understanding of deep learning architectures, particularly transformer-based models
- Experience with OCR systems and techniques
- Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, or JAX)
- Demonstrated ability to implement and adapt research papers into working code
- Excellent problem-solving skills
- Strong communication skills
Benefits For Senior Machine Learning Engineer / Data Scientist (PhD Graduates)
- Medical benefits start on first day of employment
- 36 PTO days (Sick, Casual and Earned), 5 recharge days, 2 volunteer days
- Home Office setups and Technology reimbursement
- Lifestyle & Family benefits
- Annual Swags/Festive Swags
- Ongoing learning & development opportunities
- Structured onboarding program
- Access to significant computing resources
- Support for continued professional development and conference attendance
