Additive | Part of Thomson Reuters · 6 days ago
Member of Technical Staff - Product Machine Learning
Additive, part of Thomson Reuters, is seeking a Member of Technical Staff specializing in Product Machine Learning. The role involves building ML infrastructure for tax professionals, improving core metrics, and collaborating with accountants to create a product that meets their needs.
Artificial Intelligence (AI)Information TechnologySoftware
Responsibilities
Build the ML and product infrastructure powering our products for tax professionals, working directly with Aaron and Venky
Iterate on our dataset strategy, inference systems, and tax logic to rapidly improve our core metrics such as accuracy & document coverage as we scale to millions of documents
Leverage and stay up to date with cutting-edge LLMs to build robust and flexible document understanding capabilities, integrated into broader ML pipelines
Delve into the gritty details of document processing and error analysis, collaborating to engineer scalable strategies for handling the full range of customer documents
Engage directly with accountants to understand their needs and how we can best build a product that they absolutely love
Integrate our inference pipeline into an end to end product that transforms accounting
Be expected to operate with autonomy and judgement to deliver tremendous value while working with both technical and market constraints
Iterate on expert systems which encode institutional knowledge of tax professionals into scalable software systems
Qualification
Required
5+ years experience working with commercial ML systems in a meaningful ownership role for what was built and why
Strong fundamental understanding of how to build, measure, and iterate on ML systems and ML-powered enterprise or consumer products
Comfortable with Python and popular ML libraries (e.g. pandas, scikit-learn, spaCy, pytorch, tensorflow, keras), cloud providers such as GCP/AWS, container technologies (e.g. Docker, Kubernetes), web application development including Python-based web servers (e.g. Flask, Django), and database and storage layers (e.g. Postgres, SQL, S3/GCS)
Interest and experience with LLM prompt engineering
Benefits
Additive can cover relocation costs for moving to the San Francisco area.
Company
Additive | Part of Thomson Reuters
Additive builds tools that help tax professionals with their most repetitive tasks, so that they can focus on creating value for their clients.
H1B Sponsorship
Additive | Part of Thomson Reuters has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (3)
Funding
Current Stage
Early StageTotal Funding
unknown2025-09-16Acquired
Recent News
2025-11-04
2025-11-04
2025-11-04
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