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Machine Learning Researcher - Emerging Architectures

February, 28

  • usaSF (Bay Area), Seattle, NYC, or Austin
  • usaFull-time
  • usaEngineering
  • usaRemote
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Overview: - Machine Learning Researcher role at Regrello, focusing on tabular modeling with real-world impact. - Collaboration with top-tier machine learning researchers, software engineers, product managers, supply-chain experts, and customers. - Development of novel foundational deep learning models for complex tabular datasets. Key Responsibilities: - Develop, implement, and deploy AI models for global supply chain and manufacturing challenges. - Stay current with AI developments and inspire AI applications across the organization. - Collaborate with cross-functional teams to build high-quality product features. - Take on new challenges and responsibilities as needed. - Participate in hiring decisions and contribute to a culture of continuous learning. Requirements/Skills/Qualifications: - PhD in Computer Science/quantitative field or 5+ years of industry/post-Masters experience in Deep Learning. - Strong research background in sequence modeling architectures (transformers, graphical neural networks, state space models). - Proficiency with Python, PyTorch, Tensorflow, or JAX. - Excellent written and verbal communication skills. - Strong desire to learn, grow, and impact real global problems. Compensation & Benefits: - Competitive salary range of $165,000 - $220,000 annually. - Equity in the startup. - Health insurance (medical, dental, vision) and generous paid time off. - Flexible, hybrid/remote work culture. - Consideration for candidates based in Seattle, San Francisco, New York, or willing to relocate.
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