Senior Staff Software Developer, AI/ML GenAI, Google Workspace
Software Developer
As a Senior Staff Software Developer, AI/ML GenAI, you will provide technical leadership, designing and implementing large-scale GenAI solutions within Google Workspace. Your responsibilities include optimizing ML infrastructure, overseeing model deployment and evaluation, and coaching engineering teams.
About the role
Tasks:
Align teams on goals, outcomes, and timelines
Coach distributed teams of engineers
Design and develop large-scale software solutions
Design and implement genai solutions
Drive technical project strategy
Maintain and enhance software solutions
Manage project priorities, deadlines, and deliverables
Optimize large-scale ML infrastructure
Oversee data processing debugging and fine tuning
Oversee model deployment and model evaluation
Provide technical leadership on high-impact projects
Test and deploy software solutions
Perks/Benefits:
N/A
Skills/Tech-stack:
Computer Vision | Data Processing | Data Storage | Debugging | Deep learning | Distributed Computing | Fine Tuning | GenAI | Information Retrieval | LLM Inference | Language Models | Language Processing | Large Language Models | Large Vision Models | Large-Scale System Design | Large-scale | Large-scale system | Machine Learning | Model Deployment | Model Evaluation | Model Fine-tuning | Multi-Modal | Natural Language | Natural Language Processing | Security | Software Engineering | System design | Vision Models
Education:
Bachelor of Science | Master of Science | PhD
Roles:
AI | AI Software Engineer | Engineer | Senior Staff Software Engineer | Software Engineer | Staff Software Engineer
Regions:
North America
Countries:
United States
States:
California, US
Cities:
Sunnyvale, California, US
Skills
Computer VisionData ProcessingData StorageDebuggingDeep learningDistributed ComputingFine TuningGenAIInformation RetrievalLLM InferenceLanguage ModelsLanguage ProcessingLarge Language ModelsLarge Vision ModelsLarge Scale System DesignLarge scaleLarge scale systemMachine LearningModel DeploymentModel EvaluationModel Fine tuning