Google Cloud is seeking a Customer Engineer II specializing in AI/ML for their Startups division. This role combines technical expertise in machine learning with customer-facing responsibilities, making it perfect for those who excel at both technical implementation and relationship building.
As a Customer Engineer, you'll be at the forefront of helping startups leverage Google Cloud's AI/ML capabilities to scale their operations and drive innovation. You'll work directly with technical sales teams as an AI/ML subject matter expert, helping customers understand and implement Google Cloud solutions while troubleshooting technical challenges.
The role requires a strong foundation in machine learning, with experience in model development, deployment, and frameworks like PyTorch and TensorFlow. You'll need to be comfortable with cloud-native architecture and have a proven track record in customer-facing roles. The position offers exposure to cutting-edge technology while working with innovative startups.
Working at Google means joining a company that values diversity, inclusion, and innovation. You'll be part of a team that's shaping the future of cloud computing and AI/ML applications. The compensation package is competitive, including a base salary range of $122,000-$180,000, plus bonus, equity, and comprehensive benefits.
The role combines technical depth with business impact, requiring travel to customer sites and conferences. You'll be instrumental in helping startups understand and implement Google Cloud solutions, working closely with product management to drive adoption and innovation. This position offers the unique opportunity to work with both established Google Cloud products and emerging technologies in the AI/ML space.
For the right candidate, this role offers the perfect blend of technical challenge and business impact, with the opportunity to work with innovative startups while being backed by Google's resources and technology. You'll be part of a team that's directly contributing to the growth and success of the startup ecosystem while working with cutting-edge AI/ML technologies.