Machine Learning Engineer, Large Language Models
4 days ago
We are revolutionizing the future of tax automation with AI-powered financial intelligence. Our platform empowers sole proprietors and businesses to navigate tax compliance effortlessly, ensuring accuracy and ease. By leveraging cutting-edge large language models (LLMs) and generative AI, we are building an intelligent tax assistant that simplifies income reporting, deductions, and financial planning. Join us in shaping the future of AI-driven tax solutions.
Why Join Us?
We believe in innovation, ownership, and impact. Our team is composed of passionate Tax Experts, AI experts, engineers, and product leaders dedicated to solving real-world financial challenges with state-of-the-art machine learning. If you're excited about pushing the boundaries of AI to transform tax compliance, this is the place for you.
About the Role
As a Machine Learning Engineer, you will be a key contributor in designing and optimizing our AI-driven tax assistant. You will work on developing and fine-tuning LLMs to ensure a highly accurate, user-friendly, and personalized experience. Your expertise in machine learning, natural language processing (NLP), and AI infrastructure will be crucial in shaping the next-generation tax automation experience.
Responsibilities:
- Develop and optimize large language models for personalized financial guidance and tax-related queries.
- Architect and implement ML-driven features for tax automation, including classification, entity recognition, and recommendation systems.
- Adapt standard ML methods to leverage distributed computing environments (GPU acceleration, parallel processing, and cloud-based AI infrastructure).
- Work with structured and unstructured financial data to enhance AI-driven tax recommendations.
- Monitor and improve AI performance, ensuring transparency, fairness, and compliance with financial regulations.
- Drive ML best practices, mentor engineers, and set the technical direction for AI advancements.
- Collaborate closely with product and engineering teams to align AI capabilities with user needs and business goals.
Qualifications:
- 4+ years of experience in software engineering, machine learning, or AI-related fields (or 2+ years with a PhD).
- 3+ years of experience in LLMs, deep learning, NLP, recommendation systems, or financial AI applications.
- Expertise in Python and ML frameworks such as TensorFlow, PyTorch, or JAX.
- Experience with cloud-based AI infrastructure (AWS, GCP, Azure) and scalable ML deployment.
- Strong knowledge of model evaluation, interpretability, and fine-tuning techniques.
- Bachelor's or Master's degree in Computer Science, Machine Learning, or a related technical field (or equivalent practical experience).
- Experience working in FinTech, tax automation, or regulatory technology (RegTech) is a plus.
Mid-Senior level
Employment typeFull-time
IndustriesTechnology, Information and Internet
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