Bachelor's degree or equivalent practical experience.
8 years in software development, with 5 years in testing and launching software products, and 3 years in software design and architecture.
5 years building ML systems and infrastructure for model training, evaluation, deployment, and serving.
Experience integrating generative AI tools or LLM interfaces into workflows.
Familiarity with data processing software (Hadoop, Spark, Beam, Hive) and strategies (ETL, ELT, CDC).
Responsibilities
Develop and implement frameworks for evaluating AI system components and data quality.
Analyze evaluation results to enhance system performance and value models.
Articulate and build the high-level technical strategy for your area.
Design, build, and maintain specialized infrastructure leveraging LLMs.
Drive technical projects from ideation to production in a fast-paced environment.
Benefits
20% bonus target
Equity options
Comprehensive health benefits
Flexible work arrangements
Professional development opportunities
Full Job Description
info_outline X In most instances, this position requires in-person interviews as part of the hiring process.
Minimum qualifications:
Bachelor's degree or equivalent practical experience.
8 years of experience in software development, including 5 years of experience testing and launching software products, and 3 years of experience with software design and architecture.
5 years of experience in building ML systems and infrastructure (e.g., for model training, evaluation, deployment, serving).
Experience integrating generative AI tools or LLM interfaces into workflows.
Experience in data processing software (e.g., Hadoop, Spark, Beam, Hive), strategies (e.g., ETL, ELT, CDC) or algorithms (e.g., MapReduce, Flume).
Preferred qualifications:
Master's degree or PhD in Engineering, Computer Science, or a related technical field.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects.
Experience in full-stack development, building back-end distributed infrastructure, and programming in Java, Python, or C .
Experience integrating generative AI tools and understanding of AI architecture.
Responsibilities
Develop and implement frameworks and methodologies for evaluating the quality and effectiveness of AI system components and data.
Analyze evaluation results to drive improvements in system performance and underlying value models.
Play a key role in building and articulating the high-level technical strategy for your area of ownership.
Leverage knowledge of LLMs to design, build, and maintain specialized infrastructure on top of LLMs
Drive technical projects from ideation through to production, working effectively in an ambiguous and fast-paced environment.
Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
