Staff Machine Learning Engineer

Staff Machine Learning Engineer

FinTech

Hybrid - New York, NY

$190,000 - $230,000 + Equity

We are working with a cutting-edge AI-powered cloud finance optimization platform that helps businesses reduce cloud costs through automation and machine learning. Their AI-driven tools provide real-time insights, cost-saving strategies, and automated financial operations.

The Role:

As a Machine Learning Engineer, you will develop and optimize AI/ML models for forecasting, anomaly detection, financial risk modeling, and LLM-based chat agents. This role involves both machine learning and software engineering, working alongside backend engineers in a highly collaborative environment. Other responsibilities include:

Develop and improve ML models for cost forecasting and risk analysis.

Optimize LLM-based applications for internal tools and customer-facing products.

Design scalable data architectures to support AI/ML workflows.

Integrate ML models into backend systems for seamless functionality.

Maintain cloud-based ML infrastructure using AWS and Terraform.

Requirements:

Strong experience in Python (ML & data science libraries), AWS, Terraform, and SQL.

Software engineering and data engineering expertise.

Ability to work in a fast-paced, high-growth environment.

Experience with end-to-end ML solutions, beyond just model building.

Background in Computer Science, Physics, Math, or related fields preferred.

Excellent communication skills and a hands-on approach to solving complex problems.

The Benefits:

Base salary of $190,000 - $230,000 plus equity, 401(k), health, dental, and vision benefits.

How to Apply:

Please register your interest by sending your resume via the Apply link on this page.

Key Words:

Machine Learning, AI, Python, AWS, Terraform, LLM, FinOps, Cost Optimization, Cloud Infrastructure, Data Engineering, Anomaly Detection, Forecasting, Financial Modeling.