AI Engineer, Professional Services, Google Cloud

Google
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Job Description

Minimum qualifications:

  • Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
  • 5 years of experience working with recommendation engines, data pipelines, or distributed Machine Learning.
  • Experience in coding languages (such as Python, Scala, Java, Go, or similar), data structures, algorithms, and software design.
  • Experience working with technical customers.

Preferred qualifications:

  • Experience in learning frameworks (such as l, Torch, Caffe, Theano).
  • Experience in technical consulting.
  • Understanding of the auxiliary practical concerns in production ML systems.
  • Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools, and environments (such as Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume).

About the job

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are engineered for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $134,000-$208,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

  • Be a trusted technical advisor to customers and solve complex machine learning (ML) challenges.
  • Create and deliver best practice recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders.
  • Work with customers, partners, and Google Product teams to deliver tailored solutions into production.
  • Coach customers on the practical challenges in ML systems, feature extraction/feature definition, data validation, monitoring, and management of features/models.
  • Travel regularly (up to 30%) in-region for meetings, technical reviews, and onsite delivery activities.

Company Info.

Google

Google LLC is a multinational technology company headquartered in the United States that specializes in various fields, including search engine technology, cloud computing, online advertising, quantum computing, e-commerce, computer software, artificial intelligence, and consumer electronics. With its market dominance, data collection, and technological advancements in AI.

  • Industry
    E-commerce,Artificial intelligence,Internet services,Cloud computing,Computer software,Advertising,Computer hardware,Consumer electronics
  • No. of Employees
    139,995
  • Location
    1600 Amphitheatre Parkway, Mountain View, CA 94043, USA
  • Website
  • Jobs Posted

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