Machine Learning Solutions Engineer, Cloud Learning Services

$142,000 - $211,000/Yr

Google - Elk Grove Village, IL

Full-time - Mid Level

Elk Grove Village, IL

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About the position

As a Machine Learning Solutions Engineer at Google Cloud, you will focus on delivering, creating, and maintaining cutting-edge Machine Learning and Generative AI content. This role involves collaborating with cross-functional teams and engaging with customers to enhance their understanding and implementation of Machine Learning solutions. You will play a crucial role in the success of the ML Advanced Solutions Lab, ensuring that participants receive high-quality, up-to-date knowledge and resources to effectively utilize Google Cloud technologies.

Responsibilities

• Own the success of each ML Advanced Solutions Lab experience by delivering excellent content 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 in collaboration with the team and AI/ML experts across Google.
• Stay informed of developments in ML and network across the Google Cloud ML research community to provide ASL participants with up-to-date knowledge and unique opportunities for interactive engagements with Google ML experts.
• Act as an ML Subject Matter Expert (SME) within the Google Cloud Consulting team and support other ML activities.

Requirements

• Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 6 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python).
• Experience in technical troubleshooting and managing internal/external partners or customers.
• Experience building ML models for different use cases and conducting ML technical training.

Nice-to-haves

• Master's degree in Engineering, Computer Science, Business, or a related field.
• Experience in an analytical role such as business intelligence, data analytics, or statistics.
• Experience with cloud technologies such as architecting, developing, or maintaining cloud solutions in virtualized environments or cloud data engineering.
• Experience using Machine Learning and building solutions.
• 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).

Benefits

• Health insurance
• 401(k) plan
• Paid holidays
• Flexible scheduling
• Professional development opportunities
• Employee stock purchase plan
• Tuition reimbursement