Research Engineer, Machine Learning Theory

Google Research is seeking an ML Theory Research Engineer to bridge the gap between theoretical research and practical applications. You will work with Machine Learning (ML) Theory researchers to implement, test, and scale new machine learning algorithms. You will apply your engineering expertise to translate theoretical models into functional systems, optimizing performance and scalability for real-world deployment. You will have the opportunity to work alongside world-renowned experts, publish, and contribute to Google products.

Responsibilities:

• Implement, test, and optimize machine learning algorithms based on theoretical research.
• Collaborate with researchers to develop and validate new models, ensuring they are efficient and scalable.
• Design experiments to evaluate algorithm performance on large-scale datasets.
• Work with product teams to integrate theoretical insights into production systems.
• Contribute to research publications and open-source initiatives.

Minimum qualifications:

• 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 with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).

Preferred qualifications:

• PhD or industry experience in applied machine learning or related research.
• Experience working with large datasets and distributed computing.
• Understanding of theoretical machine learning principles.
• Excellent communication skills and ability to work in a collaborative research environment.

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.