AI/ML Engineer

Autonomy Finance; New York (NY); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive salary

Equity package

Health insurance

Flexible hybrid work

Unlimited PTO

401(k) with match

Conference budget

GPU credits

MacBook Pro

Job summary

Autonomy Finance seeks an AI/ML Engineer to design, train, and deploy the AI that powers autonomous financial agents. You will tackle LLM integration, time-series modeling, and reliable AI systems handling real money to optimize user finances automatically.

Key tasks include building ML models for prediction, fine-tuning LLMs for financial understanding, and creating robust pipelines with live data. Join a fintech team focused on safe, scalable AI that meets regulatory requirements and delivers

Qualifications

• 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).

Responsibilities

• 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.

Skills

ML/AI experience

Production deployment

Python - PyTorch

LLMs

Job description

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

What We're Looking For

Experience

• 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)

Technical Skills

• NLP techniques and transformer architectures
• Time-series modeling and forecasting

Nice to Have

• Experience with financial data or fintech
• Background in reinforcement learning
• Knowledge of responsible AI practices
• Published research or open source ML contributions

What We Offer

• 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 MacBook Pro and equipment of your choice