What are the responsibilities and job description for the Machine Learning Engineer position at North?
About North
The public cloud is home to $200B in annual technology spend, yet 95% of it is still managed with credit cards and spreadsheets. With AI accelerating cloud growth towards $1T by 2030, businesses need better tools to manage, optimize, and scale their cloud investments.
At North, we’re building the next-generation cloud spend management platform, giving companies clarity, control, and automation over their cloud finances. Our mission is to help organizations take charge of their cloud costs and maximize efficiency in the AI-driven era.
Backed by top-tier investors and trusted by leading customers like Brave, StayNTouch, and DataBiologics, we’re assembling a world-class team to redefine how businesses manage cloud spend. If you’re looking for impact, growth, and the opportunity to shape the future of cloud finance, North is the place to be.
About the role
We’re looking for a Machine Learning Engineer to join our team and play a key role in developing, deploying, and optimizing our AI capabilities. You’ll work directly with our CTO to define and build AI-powered features that will shape Agent North, our customer-facing AI assistant, as well as drive advancements in cost and usage forecasting, financial modeling, and multi-service provider rightsizing.
This is a hands-on, senior-level role—perfect for someone who thrives in a fast-moving startup environment, has built ML-powered products before, and is comfortable taking a project from 0 to 1. If you’re a high-energy, motivated engineer passionate about LLMs, cloud infrastructure, and deploying AI systems at scale, we want to hear from you.
What you’ll do
- Design, build, and deploy ML models for cloud automation and optimization
- Work with LLMs, fine-tuning, optimizing, and integrating them into our platform
- Develop AI chatbots and customer-facing AI solutions to automate and enhance cloud finance management.
- Ensure security and compliance in AI model deployment, implementing best practices for secure AI infrastructure.
- Set up and maintain ML infrastructure across GCP, AWS, and Azure, optimizing for scale and efficiency.
- Drive ML project development from 0 to 1, making key decisions on architecture, tooling, and implementation.
- Collaborate with engineering, product, and leadership teams to align AI development with business goals.
- Experiment with and implement cutting-edge ML techniques, including prompt engineering, model security, continuous evaluation, and monitoring frameworks.
- Provide thought leadership, driving AI strategy and identifying opportunities to improve and expand North’s AI capabilities.
What you’ll need
Nice to haves
Work location
This is a hybrid role in our New York office (in West Village). You will work part of the time in the office and part of the time remote / work-from-home.
Benefits (for U.S.-based full-time employees)
Compensation
The base pay for this role is : $160k-$220k per year. Actual compensation may vary and will be based on a candidate's qualifications, skills, experience, and location.
Join us!
If you’re a ML engineer who loves building AI-powered products, deploying at scale, and shaping the future of cloud financial automation, we’d love to hear from you. Apply today.
Salary : $160,000 - $220,000
