Thomson Reuters is seeking an ML Engineer to scale their GenAI-native platform for tax document processing, aiming to serve millions of documents and improve core metrics for tax professionals.
Requirements
- 4+ years of experience in Machine Learning Engineering, with a strong focus on creating end-user value (rather than just model fine-tuning).
- 5+ years of experience working with commercial ML systems in a meaningful ownership role.
- Strong fundamental understanding of how to build, measure, and iterate on ML-powered enterprise or consumer products.
Responsibilities
- Build the core ML and product infrastructure powering products for tax professionals, utilizing foundational models.
- Rapidly improve core metrics by iterating on the dataset strategy, inference systems, and internal tax logic.
- Integrate the inference pipeline into an end-to-end product that transforms accounting workflows.
- Iterate on expert systems that encode the institutional knowledge of tax professionals into scalable software.
Other
- Engage directly with accountants and tax professionals to understand needs and build a scalable, high-quality, and accurate product that drives adoption.
- Must be an exceptional builder.
- Salary: $200K - $325K
- Equity: Stock options also included
- Visa Sponsorship: Available
