We are looking for a Senior Platform Engineer with 5+ years of experience to own and strengthen the core document processing platform at Reducto. You'll be someone who has seen what mature systems look like at scale – ideally at companies like Stripe, Ramp, or Robinhood – and is ready to bring that expertise to a fast-growing AI startup. This role is about making the nuts and bolts work beautifully: ensuring customer jobs run fast and reliably, optimizing how models are served, and driving cost efficiency across distributed systems. You'll work closely with ML engineers and take on-call responsibility as part of a small, high-impact platform team.
What you will be doing
Owning and improving the core platform that runs customer document processing jobs – ensuring speed, reliability, and cost efficiency at scale
Working with ML teams to figure out how to serve in-house models efficiently and integrate them into production pipelines
Building and maintaining infrastructure including databases, task orchestration, workload scheduling, and cloud deployments
Driving improvements to distributed systems – tackling latency, reliability, and scaling challenges as volume grows
Participating in on-call rotations and taking ownership of platform health end-to-end
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.
We provide a comprehensive toolkit for working with documents the way a human would, combining custom in-house and leading frontier models to power efficient and accurate document workflows.
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 are built for enterprise workloads with flexible deployment options from the cloud to fully air-gapped environments, SOC II and HIPAA compliance, and zero data retention.
Machine Learning Eval Engineer
Forward Deployed Infrastructure Engineer (FDIE)
Forward Deployed Engineer
ML Infrastructure Engineer
Machine Learning Engineer
Salary
$220,000 - $320,000
Location
San Francisco, United States
Experience
5+ years
Total raised
$108.0M
Last stage
Series B
Investors
No applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.