Top Artificial Intelligence Machine Learning Engineer Jobs in New York City, NY

Design, train, and evaluate machine learning models to match patients with therapists, improving clinical outcomes and enabling tailored care.

Own AI product strategy and roadmap across clinician- and member-facing surfaces. Partner with engineering, applied ML, design, and clinical teams to ship, scale, and measure LLM/ML-powered features; set safety and quality guardrails, run evals, make model build-vs-buy decisions, and translate ML capability into clinical workflow outcomes.

As an ML Engineer, you'll deploy models and create tailored AI solutions for clients, ensuring impactful integrations and customer success.

Design, develop, and deploy scalable ML software systems for healthcare. Collaborate with teams to improve products and ensure performance and reliability.

Lead development of a production autonomous-agent intelligence layer: implement closed-loop learning from trade outcomes, build evaluation and automated strategy generation, monitor fleet performance, manage risk and capital allocation, own model training/inference pipelines (including LLM hosting/fine-tuning), and build telemetry and data capture for real-time market adaptation.

Embed with customer teams to design and deliver AI/ML-driven solutions end-to-end: data ingestion, model integration, application logic, UI/UX, APIs, monitoring, and scaling. Collaborate on roadmaps, iterate rapidly in production, inform product/SDK direction, support pre-sales, and ensure reliability, performance, security, and compliance. Travel to customer sites (20–40%).

As a Machine Learning Engineer, you will design and deploy ML models, integrating LLMs with cultural intelligence and developing recommendation systems, while collaborating with data engineers and optimizing model performance.

The Senior Software Engineer will work on optimizing open-source LLM inference, enhancing performance on NVIDIA GPUs, and collaborating on production-ready solutions.

As an ML Engineer Intern, you will build and deploy ML models, design scalable infrastructure, and collaborate with data science teams in a fast-paced environment.

The Machine Learning Engineer will design and develop machine learning systems, implement algorithms, and optimize performance using data for self-learning applications.