Remote Sr. AI Research Engineer

Description:

• This role is for one of the Weekday's clients.
• The position requires a minimum of 6 years of experience.
• The job is located in the USA and is a full-time position.
• The role involves owning the innovation pipeline, transforming research into real-world impact, and building unmatched systems in the market.
• Responsibilities include inventing and implementing cutting-edge advances in LLMs, NLP, OCR, and computer vision to apply them to complex, multilingual, high-stakes financial documents.
• The candidate will own the model lifecycle, leading end-to-end development including data collection and curation, architecture design, training, evaluation, and deployment.
• The role requires designing and refining internal evaluation frameworks that set new standards for model quality in financial data extraction.
• The candidate will rapidly build and ship experimental features while maintaining scientific rigor.
• Collaboration with product, infrastructure, and leadership teams is essential to scale innovations into production systems for global financial use cases.

Requirements:

• The candidate must demonstrate the ability to translate new research into working prototypes within days, not months.
• Strong Python skills with deep learning frameworks, preferably PyTorch, are required, along with the ability to debug and productionize their own work.
• Proven experience in training and optimizing large models for NLP, computer vision, or multimodal tasks is essential.
• The candidate should be skilled at handling messy, real-world datasets, not just curated academic benchmarks.
• An end-to-end problem solver who thrives on responsibility and is not limited to isolated pipeline tasks is necessary.

Benefits:

• The role offers immediate impact, allowing the candidate to see their research deployed to production within weeks.
• The candidate will have ownership of projects from inception to deployment with no silos.
• The position allows for a faster pace than big-tech labs while maintaining research excellence.
• The candidate will gain visibility by working directly with senior leadership and decision-makers.
• The role provides an opportunity to help shape the technical foundation of a next-generation AI platform.