This role is for one of the Weekday's clients
Min Experience : 6 years
Location : USA
JobType : full-time
If you want to own the innovation pipeline, transform research into real-world impact, and build systems unmatched in the market, this is the role for you.
Requirements
What You’ll Do
- Invent, Implement, Impact – Take cutting-edge advances in LLMs, NLP, OCR, and computer vision, and apply them to messy, multilingual, high-stakes financial documents.
- Own the Model Lifecycle – Lead end-to-end development : data collection and curation, architecture design, training, evaluation, and deployment.
- Benchmark the Best – Design and refine internal evaluation frameworks that set new standards for model quality in financial data extraction.
- Prototype at Speed – Rapidly build and ship experimental features in weeks while maintaining scientific rigor.
- Collaborate with Firepower – Work closely with product, infrastructure, and leadership teams to scale innovations into production systems for global financial use cases.
What We’re Looking For
Must-Have Firepower
Paper-to-Prototype Speed – Ability to translate new research into working prototypes within days, not months.Code Fluency – Strong Python skills with deep learning frameworks (PyTorch preferred); comfortable debugging and productionizing your own work.Model Mastery – Proven experience training and optimizing large models for NLP, computer vision, or multimodal tasks.Data Grit – Skilled at handling messy, real-world datasets, not just curated academic benchmarks.Problem Ownership – End-to-end problem solver who thrives on responsibility, not just isolated pipeline tasks.Nice-to-Haves (Differentiators)
Experience with LLMs, prompt engineering, RAG, or domain adaptation.Background in Document AI, OCR, or table understanding.Research publications or open-source contributions in AI / ML.Experience with distributed training, large-scale inference optimization, or MLOps.Why This Role is a Career Accelerator
Immediate Impact – See your research deployed to production within weeks.Ownership – Drive projects from inception to deployment with no silos.Velocity – Move faster than big-tech labs while maintaining research excellence.Visibility – Work directly with senior leadership and decision-makers.Legacy – Help shape the technical foundation of a next-generation AI platform.Skills
AI EngineeringApplied ResearchDeep Learning (NLP, CV, Multimodal)Python & PyTorch