Senior Customer and Partner Solutions Engineer, gTech: Google

You will serve as a primary technical expert within the Machine Learning Data Services team. This team partners closely with Google DeepMind and other engineering teams to bring Generative AI (GenAI) models to market.

Your primary focus will be designing and delivering scalable AI solutions, creating prototypes using Large Language Models (LLMs), and developing new methodologies to measure the performance, quality, and safety of GenAI models.

Responsibilities
Prototyping & Troubleshooting: Build high-value use cases and rapid prototypes using the latest Gemini Model capabilities. Troubleshoot technical issues regarding model performance and infrastructure.

Roadmap Development: Contribute to the evolution of Gemini Models by defining developer tool roadmaps and shaping future capabilities.

Cross-Functional Partnership: Collaborate with Google DeepMind Engineering and Product Management to prioritize solutions that impact GenAI model quality.

Evaluation Methodologies: Create and assess novel methods for accurately measuring and evaluating complex GenAI models.

Qualifications
Minimum Qualifications:

Education: Bachelor’s degree in Engineering, CS, or equivalent practical experience.

Coding: 6 years of experience with programming languages such as Java, C/C++, or Python.

Data: 6 years of experience with database technologies (SQL, NoSQL).

Skills: Experience in technical troubleshooting and managing internal/external partners.

Preferred Qualifications:

Education: Master’s degree in Engineering, CS, or Business.

Web Tech: 6 years of experience with client-side technologies (HTML, CSS, JavaScript, HTTP).

AI/ML: 6 years of experience with Machine Learning and GenAI applications (NLP, Computer Vision, Deep Learning) or applied ML techniques.

Architecture: Experience building ML solutions using architectures like LSTM or Convolutional Networks.

Scale: Experience launching and scaling user-facing, production-quality partner integrations.