What are the responsibilities and job description for the Machine Learning Engineer Reducto San Francisco, CA Interested Not Interested position at Savvy, Inc.?
About The Role
About Us
The vast majority of enterprise data is in files like PDFs and spreadsheets. That includes everything from financial statements to medical records. Reducto helps AI teams turn those really complex documents into LLM-ready inputs with exceptional accuracy. This means they can build more reliable products while saving engineering time.
Our Traction
Hundreds of companies have signed up to use Reducto since our launch, and we're now processing tens of millions of pages every month for teams ranging from startups to Fortune 10 enterprises. We’re hiring founding software engineers to help us continue to serve our customers as we build the ingestion layer that connects human data with LLMs.
The Opportunity
As a member of our founding team you’ll work on our core API and on-prem deployments. That means you’ll have a hand in everything that our customers need.
We Would Love To Meet You If You
- Philosophy : You are your own worst critic. You have a high bar for quality and don’t rest until the job is done right—no settling for 90%. We want someone who ships fast, with high agency, and who doesn't just voice problems but actively jumps in to fix them.
- Experience : You have 2 to 5 years of experience with training, fine-tuning, and evaluating ML models used in production systems.
- Language / Skills : You’re exceptional at Python or similar, and are well-versed with both traditional computer vision and VLMs.
- Tools : Build your own tools as needed—like a quick Streamlit app to test hypotheses or create a dataset.
- Approach : A quantitative approach to building products. Ability to debug, experiment, and iterate fast. You should be comfortable getting hands-on with the full development lifecycle, from ideation to shipping to users.
The Core Work Will Include
Bonus Points If You
This is an in-person role at our office in SF. We’re an early-stage company which means that the role requires working hard and moving quickly. Please only apply if that excites you.
About Reducto
Nearly 80% of enterprise data is in unstructured formats like PDFs. PDFs are the status quo for enterprise knowledge in nearly every industry. Insurance claims, financial statements, invoices, and health records are all stored in a structure that’s simply impractical for use in digital workflows. This isn’t an inconvenience—it’s a critical bottleneck that leads to dozens of wasted hours every week.
Traditional approaches fail at reliably extracting information in complex PDFs. OCR and even more sophisticated ML approaches work for simple text documents but are unreliable for anything more complex. Text from different columns are jumbled together, figures are ignored, and tables are a nightmare to get right. Overcoming this usually requires a large engineering effort dedicated to building specialized pipelines for every document type you work with.
Reducto breaks document layouts into subsections and then contextually parses each depending on the type of content. This is made possible by a combination of vision models, LLMs, and a suite of heuristics we built over time. Put simply, we can help you :
Review Reducto Company Benefits Here
Reducto is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity / assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law.
Skills
Engineering And Information Technology Software development
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