Two Dots
Member of the Technical Staff - Machine Learning
San Francisco HQ · Staff+
Sponsorship not specifiedDetected 574 days ago
SQLBigQueryMachine LearningPyTorchNLPComputer VisionLLMsStatisticsLogisticsResearchUnderwriting
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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
- They should be math literate, comfortable with PyTorch, evaluation, model deployment, quality management, metrics-driven evaluation, and data warehouse-oriented SQL such as BigQuery.
- Cash flow underwriting: inferring a latent financial profile from paystubs, bank statements, business data, or other payment data
- Extracting information from unstructured or noisy sources with very high reliability
Responsibilities
- This is not a research role, although the right person has the depth to develop models from scratch end-to-end.
Requirements
- If you do not know how PyTorch, training, and evaluation work, and cannot talk about real modeling work you have done, we will filter you out at this stage.
- We will assess whether you are actually interested in working at a startup, whether you can deal with ambiguity, and whether you are more of a pure researcher than an applied builder.
- We will test rigorous knowledge of math, statistics, ML foundations, metrics and evaluation, tensors, regularization, overfitting, training schedules, and GPU memory management.
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.
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This listing is sourced directly from Two Dots's careers page and normalized into a canonical job model.