Two Dots
Member of the Technical Staff - Document Processing & Workflows
San Francisco HQ · Staff+
Sponsorship not specifiedDetected 64 days ago
PythonFull-Stack DevelopmentSQLKubernetesMachine LearningMLOpsLogistics
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16Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- We are looking for a Software Engineer with substantial prior experience working with PDFs and PDF-driven applications.
- PDFs are an odd legacy format: notoriously frustrating to work with, but critically important for understanding people's finances.
- You should be an adept user of machine learning, with enough fluency to reason about model errors.
Requirements
- You know what ROC, precision, and recall mean.
- You can reason through over-selection and under-selection, and compare false positives and false negatives against business needs.
- You should have a very strong command of Python, and a strong ability to measure service performance and accuracy with systematic metrics using SQL, such as BigQuery.
Company info
- Henson (CEO) started his career selling FX derivatives to hedge funds at Goldman, then worked at a real estate tech startup for several years leading sales.
- This enables him to engage with the largest institutional property managers and real estate investors in the country and create value through those relationships.
- Max (CTO) started out as a software engineer at Blend, a mortgage application company that went public, and went on to work on the search team at Google.
- That combination of specific consumer fintech experience and knowledge of how sophisticated ML products succeed in production made big enterprise deals work from day 1.
- We met in middle school and created a media website together where people could watch and post their flash games and animations.
- We learned to code, source talent, and forge partnerships - and had 500 active users.
- Although a tragic addiction to World of Warcraft interrupted work on the website, we got back together to start Two Dots.
- Other team members include: Meta ML alumnus with decades of experience, a 21 year old UMich grad who was a top 2,000 LoL player (he is no longer playing the game, thank god), and a former agave farmer who started a shipping and logistics company while at Stanford.
- What You'll Work On
- ML ops and quality management challenges in PDF processing
- Building, scaling, and refining Python-based application code that deals with PDFs and downstream financial data
- Ensuring PDF processing is as fast as possible, and that machine learning steps are not bottlenecked by server latency, throughput, or non-ML PDF-related processing
- About The Interviews
- PDF-oriented technical phone screen using basic PDF processing in a Python notebook
Visa & Work Authorization
- Many important businesses that used to run on paper documents now run on PDFs, including bank statements, paystubs, offer letters, and I-20 proof of F-1 visa documents.
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This listing is sourced directly from Two Dots's careers page and normalized into a canonical job model.