Staff Software Engineer, GenAI, Data Quality

Google; Mountain View (CA); On-site; USD 130,000 - 190,000; Full time

Job summary

An established industry player is seeking a Staff Software Engineer to drive innovations in AI and data quality for GenAI applications. In this pivotal role, you will lead efforts to enhance tooling for machine learning data needs, ensuring high-quality data for model training. You will collaborate across teams, providing technical leadership while addressing complex challenges in AI and data management. This opportunity allows you to influence the future of technology and contribute to impactful projects that benefit various industries. If you are passionate about pushing the boundaries of AI and enjoy working in a dynamic environment, this role is perfect for you.

Qualifications

• 8+ years in software development with strong data structure and algorithm skills.
• Experience in testing, launching software products, and software design.

Responsibilities

• Lead the Crowd and Data Platform team to enhance ML data tooling for GenAI.
• Improve data collection quality for GenAI model training through best practices.

Skills

Software Development

Data Structures

Algorithms

Cross-functional Collaboration

Python

C++

Education

Bachelor's degree or equivalent practical experience

Bachelor's degree in Computer Science, Statistics, Mathematics, or related field

Tools

ML Production Tools

Job description

Staff Software Engineer, GenAI, Data Quality

corporate_fare Google place Mountain View, CA, USA

Apply

Minimum Qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development, and with data structures/algorithms.
• 5 years of experience testing, launching software products, and 3 years of experience with software design and architecture.
• Experience in cross-functional collaboration and working across boundaries.
• Experience working with Python or C++.

Preferred qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• Familiarity with ML production tools and lifecycle.

About the job

Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Power the next Large Language Model (LLM) advancements with data.

We are building Google-wide 1P tooling for onboarding very large rater workforces to meet the human data needs for all Gemini use cases. Our team builds and maintains platforms, scalable infrastructure services and applications in support of human computation, enabling the collection, storage and management of large-scale human-generated or human-augmented datasets used by teams in Google and Alphabet working on GenAI products and services. Our team has been instrumental in performing LLM/GenAI model evaluations and model fine-tuning (e.g., using SFT and RLHF techniques).

The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.

Responsibilities

• Provide technical leadership to the Crowd and Data Platform team as it executes on company priorities to improve tooling around 1P Machine Learning (ML) data needs for GenAI/LLM use cases.
• Improve the quality of data collections used for GenAI models training by identifying best practices through quantitative pilot studies and implementing the adoption of these practices by human data collection systems.
• Productionize and standardize methods developed by data scientists for high-quality data and ensure that these metrics are visible to the right stakeholders, meaningful, and actionable.
• Collaborate with horizontal infrastructure teams to monitor and report data quality at every stage of the data collection lifecycle, from collection design through training and model release.
• Work cross-functionally with Data Science, Product, UX/UX Researcher, Infra and Operations teams.