Senior Machine Learning Scientist

If you are passionate about machine learning and eager to contribute to the success of millions of small businesses, consider joining the DnAI (Data and Artificial Intelligence) team at GoDaddy as a Senior Machine Learning Scientist. In this role, you will have the exciting opportunity to develop cutting-edge machine learning models and Generative AI solutions aimed at creating intelligent software that excites our customers. Working alongside a team of highly skilled engineers, you will be responsible for crafting innovative solutions to complex business challenges in customer experience and personalization. Additionally, you will tackle technical hurdles related to model evaluation, simulation, and more. Key Responsibilities: - Develop and implement advanced machine learning algorithms. - Build Intelligent Software utilizing Large Language Models (AI Agents). - Design and refine ML models to improve their performance, scalability, and robustness. - Evaluate, design, and curate comprehensive assessments for open-ended Generative AI problems. - Collaborate with cross-functional teams to incorporate ML solutions into broader product and platform initiatives. - Explore and embrace cutting-edge ML technologies to uphold our competitive advantage in the industry. Qualifications Required: - 6+ years of overall experience in machine learning-related roles. - Strong knowledge of machine learning algorithms, tools, and techniques, including supervised and unsupervised learning, deep learning, computer vision, natural language processing, etc. - Familiarity with AI-assisted coding tools like Cursor, Claude Code, or VS Code. - Proficiency in the Python programming language with an understanding of software engineering best practices such as version control, code review, CI/CD, etc. - Mastery of prompt engineering, large language models (LLM), and Natural Language Processing (NLP). Additional Company Details: You might also have: - Experience in constructing conversational systems. - Experience in designing comprehensive evaluations and verification methods. - Proficiency in Typescript is a plus. If you are passionate about machine learning and eager to contribute to the success of millions of small businesses, consider joining the DnAI (Data and Artificial Intelligence) team at GoDaddy as a Senior Machine Learning Scientist. In this role, you will have the exciting opportunity to develop cutting-edge machine learning models and Generative AI solutions aimed at creating intelligent software that excites our customers. Working alongside a team of highly skilled engineers, you will be responsible for crafting innovative solutions to complex business challenges in customer experience and personalization. Additionally, you will tackle technical hurdles related to model evaluation, simulation, and more. Key Responsibilities: - Develop and implement advanced machine learning algorithms. - Build Intelligent Software utilizing Large Language Models (AI Agents). - Design and refine ML models to improve their performance, scalability, and robustness. - Evaluate, design, and curate comprehensive assessments for open-ended Generative AI problems. - Collaborate with cross-functional teams to incorporate ML solutions into broader product and platform initiatives. - Explore and embrace cutting-edge ML technologies to uphold our competitive advantage in the industry. Qualifications Required: - 6+ years of overall experience in machine learning-related roles. - Strong knowledge of machine learning algorithms, tools, and techniques, including supervised and unsupervised learning, deep learning, computer vision, natural language processing, etc. - Familiarity with AI-assisted coding tools like Cursor, Claude Code, or VS Code. - Proficiency in the Python programming language with an understanding of software engineering best practices such as version control, code review, CI/CD, etc. - Mastery of prompt engineering, large language models (LLM), and Natural Language Processing (NLP). Additional Company Details: You might also have: - Experience in constructing conversational systems. - Experience in designing comprehensive evaluations and verification methods. - Proficiency in Typescript is a plus.