Sr. AI Research EngineerWeekday AI • US

Sr. AI Research Engineer

Weekday AI • US

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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 Engineering

Applied Research

Deep Learning (NLP, CV, Multimodal)

Python & PyTorch

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