Machine Learning Engineer • Staff

Who you are

You have a Bachelor’s degree or equivalent practical experience and at least 8 years of experience with one or more general-purpose programming languages including Java, C/C++, or Python. Your background includes 8 years of software development experience, with a strong focus on building and deploying recommendation systems models in production. You have 5 years of experience with machine learning design and infrastructure, including model deployment, evaluation, data processing, debugging, and fine-tuning. You are well-versed in testing and launching software products, and you possess 3 years of experience in software design and architecture. Your expertise extends to data structures and algorithms, with 8 years of experience in this area, and you have 6 years of experience specifically in machine learning or quality roles focused on recommendation systems. You are familiar with clustering algorithms, SQL, and deep learning models, and have experience with tools such as C++, Dremel/F1, and TensorFlow. You have a proven ability to drive quality projects from design to implementation and eventual launch.

Desirable

Experience working with research and the ability to scale models' applications across various modalities and use cases is a plus. You are comfortable with parameter tuning and label quality engineering, and you have a keen interest in capturing new user interests and world trends in real-time.

What you'll do

In this role, you will develop next-generation technologies that change how billions of users connect, explore, and interact with information. You will be responsible for building and deploying machine learning models that enhance search personalization and improve user experiences. Your work will involve designing and implementing recommendation systems that can handle massive scale and complexity. You will collaborate with cross-functional teams to ensure that the models you create are robust, efficient, and capable of adapting to new trends and user behaviors. You will also engage in debugging and fine-tuning models to optimize their performance and ensure high-quality outputs. Your contributions will directly impact how users interact with Google's products, making information retrieval more intuitive and personalized.

What we offer

At Google, you will be part of a team that is at the forefront of technology innovation. We offer competitive compensation and benefits, including opportunities for professional growth and development. You will work in a collaborative environment that encourages creativity and innovation, allowing you to bring fresh ideas to the table. Our culture values diversity and inclusion, and we believe that diverse teams build better products. We encourage you to apply even if your experience doesn't match every requirement, as we value curiosity and a growth mindset just as much as technical skills.