Machine Learning Engineer
- Location
- San Francisco
- Workplace
- On-site
- Compensation
- $200k – $325k + equity
About this role
Reducto trains vision models that read complex documents the way a human would, and turns them into inputs an LLM can actually use. You would join an eight-person machine learning team, reporting directly to co-founder and CTO Raunak Chowdhuri, and own models end to end from research through production. The team runs a mix of smaller in-house models and larger open-source ones, and ships against real enterprise workloads: FAANG customers, top trading firms, and the AI teams building on top of Reducto.
You will feel at home here if you have shipped a model yourself, all the way to users, and never handed it off half-finished.
What You'll Do
Train and deploy. Build new state of the art models for parsing and interpreting unstructured data.
Experiment. Try novel techniques to improve LLM accuracy, and build the tooling to know whether they worked.
Own the pipeline. Build data pipelines, evaluate model performance, and integrate models into the product.
Work with founders and customers. Shape product direction and engineering strategy directly, not through a layer.
What happens next
Skip the application pile. I get you in front of the people who decide.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
A meeting lands on your calendar
When the company wants to meet, I get the call on your calendar. You just show up.
Culture & values
Team works in person in SF office
Work is entirely centered around what customers need
No recurring meetings
No siloed roles
Everyone is involved with everything from product roadmap to working with end users
Team cares a lot about the product they're building
Know someone who'd be great for this?
