What are the responsibilities and job description for the Senior Software AI/ML Engineer - Hedge Fund (NYC, Hybrid) position at Sartre Group?
Senior AI / ML Software Engineer, Hedge Fund, NYC
Firm: Top NYC Multi-Strategy Hedge Fund
Role: Senior / Staff AI Software Engineer
Focus: ML Engineering, AI Research Engineering, Deep Learning, Model Deployment, Production AI Systems
Tech Stack: Python, Linux, PyTorch / TensorFlow / JAX, AWS / GCP, Kubernetes, Kafka, ClickHouse, MLOps
Location: NYC, 4 days per week in office, relocation available
Compensation: ~$200,000-300,000 base bonus
A top NYC hedge fund is building out a central AI engineering team and hiring senior engineers to work on production AI / ML systems used across investment, research and internal engineering workflows.
This is a hands-on engineering role for someone who has worked close to the model layer, not just built wrappers around third-party APIs.
The team is especially interested in people with experience across areas like:
- Model training, fine-tuning, deployment or serving
- Deep learning or multimodal models
- ML infrastructure, model evaluation or telemetry
- Retrieval, ranking, recommendation or classification systems
- Production AI systems used by real users
- Strong Python, Linux and software engineering fundamentals
You would be joining an early team with a lot of ownership, working directly with AI engineering leadership and internal users across the firm. The work will involve building reliable systems around models, data, evaluation, monitoring and deployment.
Relevant backgrounds could include ML Engineering, AI Research Engineering, Applied Science, AI Platform, ML Infrastructure, Search, Ranking, Recommendations, LLMs, Multimodal AI or high-quality production software engineering with serious ML exposure.
This is not a prompt engineering role, chatbot role or basic RAG demo role. The bar is real model-facing experience, strong engineering judgement and the ability to reason about model quality, data quality, latency, reliability and production trade-offs.
Requirements:
- Strong Python engineering
- Strong Linux fundamentals
- Computer Science degree or closely related technical degree
- Experience building, training, deploying, evaluating or productionising AI / ML systems
- Ability to explain technical decisions, trade-offs, metrics and production failure modes
- Comfortable working in NYC 4 days per week
Apply now if you would like to hear more.