Applied Scientist (GenAI/LLM), Sandstone

Key job responsibilities

• Research and implement new algorithms and architectures for generative AI applications.
• Optimize model performance and scalability for inference and deployment.
• Collaborate with other talented applied scientists and engineers to gather and preprocess large datasets and develop an improved training infrastructure that accelerates innovation.
• Experiment with state-of-the-art methods to improve generative AI model quality.
• Provide technical expertise and guidance to support the integration of generative AI solutions into various products and services.

Basic Qualifications

• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• 2+ years of building models for business application experience
• Experience programming in Java, C++, Python or related language
• Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Preferred Qualifications

• Strong understanding of machine learning, deep learning, and generative AI principles and algorithms
• Proficiency with modeling and large-scale data processing tools such as Pytorch, scikit-learn, Spark MLLib, PySpark, MxNet, Tensorflow, numpy, scipy etc.
• Familiarity with natural language processing (NLP) and computer vision for generative AI applications
• Strong problem-solving and critical thinking skills and excellent communication and teamwork abilities to collaborate with cross-functional teams
• Ability to stay updated with the latest advancements in generative AI and adapt to new techniques and methodologies