Machine Learning Solutions Engineer, Google Cloud

Google
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Job Description

Minimum qualifications:

  • Bachelor’s degree in Computer Science, Mathematics, Machine Learning, or equivalent practical experience.
  • 2 years of experience coding in one or more languages: Python, Java, C++.
  • 2 years of experience building ML models for different use cases: tabular data, images, video, speech, unstructured text.
  • 2 years of experience working in a cloud environment.

Preferred qualifications:

  • Master's degree or PhD in Computer Science, Mathematics, or other related field.
  • Experience working in a fast-moving technology area, while being comfortable working in a dynamic and sometimes ambiguous environment.
  • Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT, and reporting/analytic tools and environments (Apache Beam, Hadoop, Spark, Hive).
  • Passion for learning and continued self-development.
  • Track record of taking on new materials and successfully delivering them to clients/students.

About the job

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 $140,000-$209,000 + 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

  • Own the success of each ML Advanced Solutions Lab experience by delivering excellent content, identifying ML experts across Google to support specific sessions, and providing ongoing curriculum enhancements. 
  • Lead and support customers' Machine Learning projects from project framing to implementation in the Advanced Solutions Lab.
  • Design AI/ML curriculum by understanding market and customers’ needs, and develop materials collaborating with the team and AI/ML experts across Google.
  • Act as a ML SME within the Google Cloud Consulting team and support other ML activities as they arise (e.g., deliver client facing consulting services, work to develop IP, be a speaker at external events, run ML bootcamps).
  • Stay ahead of developments in ML and network across the Google Cloud ML research community.

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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Google is currently hiring Machine Learning Solutions Engineer Jobs in Atlanta, GA, USA; Cambridge, MA, USA; Chicago, IL, USA; Miami, FL, USA; New York, NY, USA; Reston, VA, USA; Sunnyvale, CA, USA with average base salary of $140,000 - $209,000 / Year.

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