Senior Software Engineer ML

📍 US Remote (Optional access to Dumbo, Brooklyn office)

• We are not accepting outreach from external recruiters or agencies for this role.
• This role is remote-flexible, with a strong preference for candidates who can work from our Dumbo, Brooklyn office 2–3 days per week.

The public cloud is rapidly evolving, with businesses investing over $200B annually in cloud technology. As AI and software accelerates demand for scalable infrastructure, cloud costs continue to rise—yet most teams still rely on spreadsheets to manage them.

North is building the next-generation cloud spend management platform. We provide real-time visibility, control, and automation over cloud finances, enabling companies to scale efficiently without wasting time or money.

Backed by top-tier investors and trusted by global customers like Brave, The New York Public Library, and Ramp, North is assembling a world‑class engineering team to redefine how businesses manage cloud infrastructure. For those seeking impact, ownership, and the opportunity to build from 0 → 1, North offers a unique path.

We’re looking for talented engineers who thrive on working on complex problems and solving them through building reliable, scalable systems. You’ll work across backend services, data pipelines, and APIs that form the foundation of our platform.

This is a hands‑on role where you’ll partner with engineers and our CTO to design and implement core systems spanning multiple clouds. If you enjoy solving ambiguous data problems by building the backbone of a modern SaaS platform, this role is for you.

• Build features that help manage half a billion of dollars of annual spend and save customers millions of dollars per month
• Work on unsolved, esoteric data problems that span multiple cloud providers
• Design, build, and maintain backend services, ML models, and infrastructure that power North’s forecasting features
• Work with our serverless, microservice architecture stack maintained with Terraform and written in Python
• Create large‑scale, AWS‑native data processing pipeline for cloud and SaaS agnostic features to support data and AI features
• Work across multiple cloud and SaaS providers to harmonize their data
• Ensure platform security, compliance, and cost performance
• Collaborate closely with the engineering team on system design, performance optimization, and scaling.
• Own your work from start to finish—architect, build, test, deploy, monitor.

• 5+ years of software engineering experience across cloud infrastructure, data engineering, or backend systems
• Deep experience with developing production‑ready architectures on AWS (alternatively GCP or Azure)
• Ability to understand tradeoffs between heuristic and machine learning
• Experience developing machine learning model
• Strong Python and SQL skills (alternatively Go, Ruby, JS)
• Familiarity with CI/CD (Git Hub Actions, etc.)
• Pragmatic, solution‑oriented, and comfortable making tradeoffs in early‑stage product development
• Excellent communicator with strong documentation habits and a collaborative engineering mindset

• Previous technical founder
• Achieved outstanding recognition in competitions, awards, or business ventures
• Worked in quantitative, trading, financial algorithmic heavy positions
• Experience in a startup or fast‑moving environment
• Background in data‑heavy systems or ML infrastructure or Agentic workflows
• Familiarity with Fin Ops concepts or financial data pipelines
• AWS or GCP technical certifications
• Built platforms that scaled rapidly with user growth
• Understanding of AI/ML systems at the infrastructure level (data prep, feature stores, inference pipelines)

• US Remote/ Hybrid with access to our office in Dumbo, Brooklyn
• We value in‑person collaboration but optimize for focus and execution
• Unlimited PTO
• 16‑week fully paid parental leave (20 weeks at 50% for mothers)
• Company‑wide breaks: last week of August & Dec 23–Jan 3
• 30‑day sabbatical every 4 years
• Ramp card for approved expenses

• $250,000–$300,000 base salary, depending on experience
• Equity included

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.