Senior Software Engineer, Kaggle, AI/Machine Learning

Requirements:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, or natural language processing.
• Experience with Large Language Models, NLP, or Generative AI.

Preferred qualifications:

• Master's degree or PhD in Computer Science or a related technical field.
• 1 year of experience in a technical leadership role.
• Experience with C# and JavaScript.
• Familiarity with machine learning concepts and algorithms.
• Excellent communication and collaboration skills.

What you'll be doing:

• Collaborate with the Kaggle Research team to design and implement software systems and tools that support the cutting edge of benchmarking and evaluation AI/ML.
• Develop and maintain software infrastructure for running Kaggle competitions and benchmarks.
• Work with the Kaggle Competitions team to expand Kaggle competitions platform to host and run Large Language Model (LLM) Benchmarks and community evaluations.
• Contribute to the development and deployment of new research methods and algorithms for AI and ML.
• Publish research papers and present findings at conferences and workshops. Collaborate with engineering, design, and product leadership to improve Kaggle's product for Research priorities.

Perks and benefits:

• Google's software engineers develop next-generation technologies that change how billions of users interact with information.
• Opportunities to work on critical projects essential to Google's needs.
• Versatile work environment with opportunities to switch teams and projects as the business evolves.
• Collaborative work culture with leadership opportunities and continuous learning.
• Promoting AI research and community validation through Kaggle Research.