Sr. AI Research Engineer job opportunity at Weekday AI.



Date2025-08-28T09:21:52.487Z bot
Weekday AI Sr. AI Research Engineer
Experience: 6-years
Pattern: Full-time
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United States Of America

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. 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 Engineering Applied Research Deep Learning (NLP, CV, Multimodal) Python & PyTorch

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