GlossGenius is looking for a Software Engineer to develop next-generation technologies, focusing on creating trustworthy shopping journeys by setting clear content expectations for merchants and protecting consumers. You will work on a specific project critical to the company's needs, with opportunities to switch teams and projects.
What You'll Do
- Build, deploy, and iterate on machine learning models, including LLMs, to detect policy violations in Shopping content.
- Develop and deploy scalable pipelines for high-quality training data curation, striving for gold-standard datasets and implementing frameworks for model evaluation and performance tracking.
- Utilize and deploy Large Language Models, including auto-raters and agents, to enhance merchant experience, operational accuracy, and efficiency across use cases such as managing escalations, reviewing user reports, merchant appeals, metrics generation, and training data quality curation.
- Collaborate with Product Managers and Policy Specialists to identify and implement opportunities to support business growth and consumer protection.
- Contribute to the team's engineering excellence by maintaining and improving production system reliability, participating in on-call rotations, and contributing to code reviews, documentation, and overall system health.
What We're Looking For
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages such as C++, or 1 year of experience with an advanced degree.
- 1 year of experience with one or more of the following: speech/audio technology, reinforcement learning, ML infrastructure, or specialization in another ML field.
- 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).
Nice to Have
- Master's degree or PhD in Computer Science or a related technical field.
- 2 years of experience with data structures and algorithms.
- Experience developing accessible technologies.
- Experience with SQL, Server Platform, Pod, or Spanner.
Technical Stack
- C++
- SQL
- Server Platform
- Pod
- Spanner
- LLMs
- Machine Learning
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
