July 25
🏢 In-office - Bay Area
• Develop unique capabilities and applications using LLMs and other advanced machine learning techniques • Conduct experiments including A/B testing and evaluations to measure performance • Implement and optimize algorithms for improved accuracy, speed, and scalability • Analyze large-scale datasets for insights and improvement opportunities • Stay up-to-date with latest research in generative AI & ML; apply relevant techniques
• Proficiency in python and Jupyter Notebooks • Familiarity with at least one object oriented language like C, C++, Java, Scala • Master's degree in Computer Science, Mathematics, Statistics, or a related field • 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 • 5+ years of industry experience in machine learning or related field plus PhD or preferably 10-15 years industry experience without PhD
• Healthcare benefits • Additional benefits and perks
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