2 days ago
Base Salary
$147k - $210k/yr
Responsibilities
- Apply expertise in agentic systems, including planning, memory, context management, tool use, and loops, to prototype and evaluate solutions for user simulation, playtesting, and software testing.
- Build reliable infrastructure for agent serving while balancing velocity, latency, quality, cost, and MVP readiness.
- Design benchmarks, conduct quality work, analyze results, and iterate on the agentic stack through rapid experiments.
- Blend software engineering, product management, research, data science, and UX research responsibilities.
- Convert open-ended product and technical questions into implementations while collaborating with an agile team in a 0-to-1 environment.
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 end-to-end machine learning experience, including model deployment, model evaluation, data processing, and 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
About Google
Google builds consumer and enterprise software and services including Search, Android, YouTube, Chrome, Maps, Gmail, and Google Cloud. Its business model centers on digital advertising and paid cloud, software, and hardware offerings (e.g., Pixel and Nest) for consumers, developers, and organizations. Founded in 1998 and headquartered in Mountain View, California, Google operates globally as a subsidiary of Alphabet Inc.