> Markdown version of [/jobs/ext/4638439-senior-software-engineer-ml](https://www.wearedevelopers.com/jobs/ext/4638439-senior-software-engineer-ml). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer ML - **Company:** North Inc - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $250,000.0 - $300,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Software as a Service, Cloud Computing, Continuous Integration, Information Engineering, Github, Python (Programming Language), Machine Learning, Performance Tuning, Ruby, Standard Sql, Software Engineering, Feature Store, Delivery Pipeline, Backend, Machine Learning Operations, Terraform, Data Pipelines, Serverless Computing, Microservices - **Published:** November 8, 2026 - **Apply:** https://www.juju.com/job/28_25304_5bc4d834c3e396b6f3dd488a08135933 ## About the Role * 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 models * Strong Python and SQL skills (alternatively Go, Ruby, JS) * Familiarity with CI/CD (GitHub 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 * Recognitions in competitions, awards, or business ventures * Experience in quantitative, trading, financial algorithmic-heavy roles * Experience in a startup or fast-moving environment * Background in data-heavy systems or ML infrastructure or agentic workflows * Familiarity with FinOps 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) ## Description 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. What You'll Do * Build features that help manage half a billion 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 pipelines 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