Tech Lead — Shorts Discovery & ML Recommendations

Google; Mountain View (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google is seeking software engineers to advance next-generation technologies that power billions of interactions. You will work on discovery/recommendation engines, ML infrastructure, and large-scale systems across diverse teams.

The role offers opportunities to influence product direction and leadership across projects in a fast-paced environment. Responsibilities span end-to-end design, testing, deployment, and optimization of complex ML-driven software, with emphasis on scalable architectures

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years testing and launching software products with 3 years in design/architecture.
• 5 years in one or more ML areas: speech/audio, reinforcement learning, or related ML field.
• 5 years of experience with ML design and ML infrastructure (deployment, evaluation, data processing, debugging, fine tuning).

Responsibilities

• Contribute to personalized quality recommendations and help grow a new product within Google, focusing on the discovery/recommendation engine and LLM-based systems.
• Provide technical leadership on high-impact projects; manage priorities, deadlines, and deliverables.
• Facilitate alignment across teams on goals, outcomes, and timelines; coach distributed engineers.
• Lead design and implementation of ML solutions, optimize ML infrastructure, and guide model optimization and data processing strategies.
• Design, develop, test, deploy, maintain, and enhance large-scale software solutions.

Skills

Software development

Testing & QA

Design & architecture

ML design & infra

ML areas (speech/audio/RL)

Education

Bachelor’s degree or equivalent

Job description

Google is seeking software engineers to advance next-generation technologies that power billions of interactions. You will work on discovery/recommendation engines, ML infrastructure, and large-scale systems across diverse teams.

The role offers opportunities to influence product direction and leadership across projects in a fast-paced environment. Responsibilities span end-to-end design, testing, deployment, and optimization of complex ML-driven software, with emphasis on scalable architectures