Специализация
Data Science
Stack
NLP/GPTLLMLangChainHugging Face
- LLM: OpenAI.
- Chat UI: Intercom.
- BE: Haskell + AWS + PostgreSQL.
- FE: Flutter.
Gauss lowers interest rates on credit cards. We help people break out of structural debt and build wealth. Our vision is to build fair banking for the middle class.
We are looking for a driven ML Engineer with LLM/NLP experience, excited to explore and productize LLMs for consumer fintech. You'll work directly with the founders to build massive consumer-facing features in the automated personal finance management space for one of the largest and most competitive fintech markets in the world.
You will
- Develop infrastructure for LLM-based features — agent memory, message flow, context retrieval, tools, prompt adjusting, fine-tuning etc.
- Launch a variety of personal finance management use cases — budgeting, financial product recommendations, analytics, payment automation etc.
- Research and solve key bottlenecks — limited context, latency, privacy, hallucinations etc.
Requirements
- Great experience developing quick experiments in the ML space.
- Ability to learn very quickly.
- Unlimited interest in the LLM and fintech space.
- Hands-on experience with NLP/LLM-based features.
- Practical experience with training and fine-tuning domain-specific LLMs.
- Basic understanding of LangChain or similar approaches to the agent-tool paradigm.
- Data scraping and processing experience.
Perks
- Flexible hours, remote setup.
- Competitive salary and equity.
- Autonomy and influence.
- In-demand experience at a high-pace fintech.
- Open, fast-moving and fun environment.
- Contribution to big social mission and world-class customer experiences.
- Working closely with the founding team.
- Experience with launching products in the most competitive market in the world.
- Steep learning curves for hard and soft skills.
Александр Маценов Founder and CEO
