Research Engineer
Datalab · New York Office
CHECKED 23H AGO
Applied AIonsite$275k–$325k
At a glance
Highlights
- Own models end-to-end from training through inference and product integration.
- Train small efficient models that beat larger LLMs on OCR and extraction.
- Ship state-of-the-art document AI used by Anthropic, Siemens and others.
What they offer
- 0.25% equity
Ideal candidate
A builder who has shipped ML models to production and thrives owning research end-to-end. You balance rigor with shipping speed and care about open, practical tools for document AI.
Requirements
- 3+ years experience training, fine-tuning, and evaluating deep learning models
- Trained at least one production-grade model or system used in real-world applications
- Deep expertise in PyTorch and Python with strong deep learning fundamentals
- Comfortable with data engineering, benchmarking, and performance profiling
- Comfortable with early-stage startup pace balancing research with shipping
- remote policy
- In-person
- hiring process
- 30-minute video call to evaluate fit, 90-minute live architecture discussion, culture fit interview/team meeting
Lab profile
About Datalab
Trains models that read documents reliably at scale from PDFs and scans.
What they build
- Document understanding models for PDFs, scans, and files
- High-accuracy extraction at scale
Known for
- Trusted by Anthropic and Siemens
- Hundreds of customers across FAANG, healthcare, finance
- 8-figure run rate with lean team
Key facts
- Based in New York City
- 7-person team