Machine Learning Researcher
August 7
Description
• Collaborate closely with engineers, product managers, designers, in-house supply-chain experts, and customers to design, develop, and deploy AI-powered solutions that reshape how global supply chains are organized and operated. • Contribute to the advancement of manufacturing practices on a global scale. • Develop, implement, and deploy AI models to solve real-world complex problems in global supply chain and manufacturing. • Collaborate with cross-functional teams including Engineering, Design, Product Management, and industry experts to build high-quality product features that can be used by major companies around the world. • Take on new challenges and responsibilities as needed, and be an enthusiastic team player in a dynamic startup environment. • Help shape the company by participating in hiring decisions and contributing to our culture of continuous learning and growth.
Requirements
• Masters/PhD in Computer Science or quantitative field with research in AI and a 3.5+ GPA • 3+ years of industry or post-Masters/PhD experience developing, building, and deploying Machine Learning models for real-world scenarios • Strong experience in deep learning and graphs or network theory. Experience with at least one other form of machine learning, such as natural language processing, reinforcement learning, computer vision, LLMs, etc. • Proficiency with Python and PyTorch, Tensorflow, or JAX • Demonstrated ability not only to use state-of-the-art machine learning techniques but also to innovate upon them. • Excellent written and verbal communication skills, capable of articulating complex technical concepts to diverse audiences. • A strong desire to learn, grow, and drive impact on real global problems—and to help others around you do the same. • Non-requirement: You don't need any experience with supply chain or manufacturing—we'll teach you that part!
Benefits
• Industry-leading compensation packages, including equity and health benefits. • Willing to sponsor US work authorization if needed.
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