Machine Learning Engineer

About The Position

We’re hiring a Machine Learning Engineer to accelerate AI-driven innovation across Stampli’s B2B SaaS platform.

You’ll be at the forefront of building intelligent systems that power core product experiences and automate internal operations, driving efficiency, speed, and scale across the organization. This is a high-impact, hands-on role in a fast-growing, AI-first company where machine learning is a foundational pillar, not a bolt-on feature. You'll partner with product, engineering, and operations teams to design and implement powerful ML and LLM-based solutions that make a measurable difference.

What You Will Do

• Build Intelligent Systems: Design and develop ML/LLM-powered solutions that solve real-world challenges across Stampli’s product and internal workflows.
• Own Full Lifecycles: Take projects from concept all the way to production, including model training, evaluation, integration, and monitoring.
• Leverage State-of-the-Art Tools: Work with leading frameworks like LangChain, Hugging Face, TensorFlow, and PyTorch to deliver cutting-edge functionality.
• Collaborate Cross-Functionally: Partner with product managers, engineers, and stakeholders to embed AI capabilities into user-facing features and backend services.
• Ship at Scale: Build and maintain scalable APIs and services, integrating best practices in CI/CD, observability, and cloud infrastructure.
• Report with Impact: Share progress, challenges, and results clearly with technical and executive stakeholders.

What You Will Bring

• 6+ years of experience as a Backend Developer, Data Engineer, or Machine Learning Engineer
• Bachelor’s degree in Computer Science or a related STEM field
• Strong proficiency in Python and ML tooling
• Proven ability to build production-grade ML systems end-to-end
• Deep experience with LLMs and ML frameworks (e.g., LangChain, LangGraph, Hugging Face, TensorFlow, PyTorch)
• Solid foundation in system design, architecture, and microservice patterns
• Excellent problem-solving skills and ownership mindset
• Strong collaboration and communication abilities

Bonus If You Have

• M.Sc. in Computer Science, Software Engineering, or similar field
• Experience building and scaling LLM-powered applications
• Familiarity with AWS and DevOps best practices (CI/CD, monitoring, IaC)
• Exposure to NoSQL and real-time data processing pipelines

You Will Get

• AI-driven workplace: Work with cutting-edge tools like ChatGPT Enterprise to enhance productivity, spark innovation, and streamline your day-to-day.
• Hybrid model: Join us in our Tel Aviv office three days a week (Tue–Thu), with the flexibility to work remotely the rest of the week.
• Stock options and real ownership in what you help build.
• Career growth supported by experienced, innovation-focused leadership.
• Modern, inclusive environment within a fast-moving scale-up culture.

Why Join Stampli?

Stampli is revolutionizing financial operations with AI, far ahead of competitors. For nearly a decade, our AI assistant, Billy, has set the industry standard—processing $100B+ in invoices annually and saving millions of labor hours for 1,600+ customers. More than automation, Billy transforms finance teams by freeing them of manual work.

Our explosive growth places us among the top tech companies at our stage, with exceptionally low churn. After conquering the Accounts Payable space, we're now revolutionizing the entire procure-to-pay (P2P) lifecycle with our new platform that "connects every dot from request to reconciliation."

What sets us apart? We adapt to customers—not the other way around—integrating with 70+ ERPs in weeks, not months. Our customer-first approach extends to our award-winning workplace culture, with vibrant, global offices. We've earned multiple Comparably awards, including Best Company Outlook, Work-Life Balance, Compensation, Happiness, and Perks & Benefits.

Here at Stampli, we build exceptional products with exceptional people. Join our dynamic team where your career will thrive in an environment that champions creativity, collaboration, and growth!

Key skills/competency

• Machine Learning
• Large Language Models (LLMs)
• Python
• System Design
• Cloud Infrastructure (AWS)
• Data Engineering
• CI/CD
• TensorFlow/PyTorch
• LangChain/Hugging Face
• Microservices