AI/ML Engineer
Job in
New York, New York County, New York, 10261, USA
Listed on 2026-10-18
Listing for:
Autonomy Finance
Full Time
position Listed on 2026-10-18
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist
Job Description & How to Apply Below
We're looking for an AI/ML Engineer to build the intelligence behind our autonomous financial agents. This role sits at the heart of what makes Autonomy special-you'll design, train, and deploy the AI systems that help users optimize their finances automatically.
You'll work on cutting-edge problems including LLM integration, financial time-series modeling, and building reliable AI systems that handle real money. This is a unique opportunity to apply ML to high-impact problems in a domain rich with interesting challenges.
What You'll Do- Design and implement ML models for financial prediction and optimization
- Integrate and fine-tune LLMs for financial understanding and reasoning
- Build reliable AI pipelines that operate on live financial data
- Develop evaluation frameworks and monitoring for model performance
- Create embeddings and retrieval systems for financial knowledge
- Collaborate with product to translate user needs into ML solutions
- Research and prototype new approaches to financial AI
- Ensure AI systems are safe, fair, and compliant with regulations
- 3+ years of applied ML/AI experience
- Production experience deploying ML models at scale
- Strong Python skills and ML framework expertise (PyTorch preferred)
- Experience with LLMs (GPT, Claude, or similar)
- NLP techniques and transformer architectures
- Time-series modeling and forecasting
- Experience with financial data or fintech
- Background in reinforcement learning
- Knowledge of responsible AI practices
- Published research or open source ML contributions
- Competitive salary + equity package
- Comprehensive health, dental, and vision insurance
- Flexible hybrid work arrangement (3 days in NYC office)
- Unlimited PTO with encouraged minimums
- 401(k) with company match
- Conference attendance and learning budget
- GPU credits for personal research projects
- Latest Mac Book Pro and equipment of your choice
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