MACHINE LEARNING/AI ENGINEER
HYBRID (3 DAYS ONSITE IN NYC)
$180,000 - $220,000 + EQUITY
THE COMPANY
My client is an AI-driven cloud finance optimization platform, leveraging machine learning to help businesses cut cloud costs with zero manual effort. Their platform automates rate optimization, forecasting, and financial risk modeling, offering businesses enterprise-grade cost savings without the complexity.
Founded in 2023 and backed by top investors, they operate on a hybrid model (3 days in-office, West Village, NYC) and prioritize a fast-moving, collaborative engineering culture.
THE JOB
As a Machine Learning Engineer, you'll be the first dedicated ML hire, leading the development of AI models that power forecasting, anomaly detection, and LLM-based applications. Working directly with the CTO and backend engineers, you'll drive the full ML lifecycle-from research to production deployment.
WHAT YOU'LL DO
- Build and optimize ML models for cost forecasting, anomaly detection, and risk modeling
- Develop and deploy LLM-based applications for real-time insights
- Design scalable ML pipelines and cloud infrastructure (AWS, Terraform)
- Collaborate with backend engineers to integrate models into production
- Maintain and improve data architecture for AI/ML workflows
WHO YOU ARE
- Strong background in Python, SQL, AWS, Terraform
- Experience with ML frameworks (PyTorch, Hugging Face, LangChain, vector databases)
- Software engineering experience (bonus if you started as a SWE before moving into ML)
- Proven ability to build end-to-end ML solutions beyond just model development
- Excellent communicator, comfortable working in a fast-paced, high-growth environment
WHAT YOU'LL GET
- $180,000 - $220,000 + equity in a high-growth startup
- Hybrid model (West Village office, 3 days onsite)
- Ownership over high-impact AI/ML projects
- Fast-moving, collaborative engineering culture
HOW TO APPLY
Interested? Reach out to Jack Wolf directly or apply via the link.