For US Applicants Only:
The application window will be open until at least August 31, 2025. This opportunity will remain online based on business needs which may be before or after the specified date.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; Toronto, ON, Canada; Atlanta, GA, USA; Boulder, CO, USA; Chicago, IL, USA.

MINIMUM QUALIFICATIONS:

• Bachelor’s degree in Computer Science or equivalent practical experience.
• 6 years of experience building machine learning solutions and working with technical customers.
• Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design.
• Experience designing cloud enterprise solutions and supporting customer projects to completion.

PREFERRED QUALIFICATIONS:

• Experience working with recommendation engines, data pipelines, or distributed machine learning.
• Experience with deep learning frameworks (e.g. Tensorflow, pyTorch, XGBoost).
• Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments (e.g. Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume).
• 
  Understanding of the auxiliary practical concerns in production machine learning systems.

• Be a trusted technical advisor to customers and solve complex machine learning issues.
• Coach customers on the practical issues in machine learning systems such as feature extraction and feature definition, data validation, monitoring, and management of features and models.
• Work with Customers, Partners, and Google Product teams to deliver tailored solutions into production.
• Create and deliver best practice recommendations, tutorials, blog articles, and sample code.
• Travel up to 30% of the time for in-region meetings, technical reviews, and onsite delivery activities.
  Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form