June 13
🏢 In-office - Bay Area
• Serve as a technical leader for Box AI, contributing to strategy, roadmap and decision making. • Research and rapidly prototype unique ways to apply LLMs and other advance machine learning techniques to power Box AI capabilities • Drive domain level goals and provide technical direction to key initiatives • Understand industry & company-wide trends in the AI space to assess & develop new opportunities and influence staffing / prioritization for these ideas. • Keep up-to-date with the latest research and advancements in the field of generative AI and machine learning, and apply relevant techniques to solve real-world problems. • Partner & collaborate with organization leaders to help improve the level of performance of the team & organization • Mentor and provide technical guidance to junior members of the team.
• Ph.D. in Computer Science, Mathematics, Statistics, or a related field, with a focus on machine learning • 8+ years of industry experience in machine learning, recommendation systems, search relevance, pattern recognition, NLP, or artificial intelligence • 12+ years of experience in programming languages (Python, C++, Java or R) with technical background • Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term vision • Experience leading large cross-functional engineering efforts with multiple stakeholders • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, NumPy, pandas) • Strong understanding of statistical modeling, data structures, and algorithms
• 11 paid holidays • Generous Accrued Time Off increasing with years of service • Generous paid sick time • Annual day of service
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