14 hours ago
Responsibilities
- Write product or system development code.
- Collaborate with peers and stakeholders through design and code reviews to promote code quality, accuracy, testability, and efficiency.
- Contribute to and update documentation or educational content based on product updates and user feedback.
- Triage, debug, track, and resolve product or system issues by analyzing impacts on hardware, networks, services, and quality.
- Implement solutions in specialized machine learning areas and contribute to ML infrastructure, model optimization, and data processing.
- Architect a zero-to-one GenAI creation engine, including real-time 2D/3D asset pipelines, a specialized foundation language model, and autonomous agentic playtesting harnesses.
Requirements
- Bachelor's degree or equivalent practical experience.
- At least 2 years of software development experience in one or more programming languages, or 1 year with an advanced degree.
- At least 1 year of experience in speech/audio, reinforcement learning, ML infrastructure, or another ML specialization.
- At least 1 year of experience with ML infrastructure, including model deployment, model evaluation, optimization, data processing, or debugging.
- Preferred: master's degree or PhD in Computer Science or a related technical field.
- Preferred: 2 years of experience with data structures and algorithms.
- Preferred: experience developing accessible technologies.
Categories
AI ResearchML Engineering
About Google
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone. Check out our career opportunities at goo.gle/3DLEokh