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Salary
$72k – $159k per year (Estimated)
Location
In office (Berlin, Warsaw, Amsterdam)
Seniority
Senior · 10+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Moss is a Berlin company founded in 2019 that provides corporate cards and spend management to European companies. Its platform handles card issuing, invoice approval and accounting integration for finance teams. The company serves mid-sized businesses across Germany, the Netherlands and the United Kingdom.

At Moss, we give finance professionals the power to automate their day-to-day and make forward-thinking decisions.

Our team and culture make us unique - we’re driven by impact and growth, where every one of us strives to learn and excel. Recognised bySifted’s Rising 100andLinkedIn's Top Startups , we’re here to help propel your career and together, make Moss a lasting success.

We’re expanding our Data & AI team and looking for a senior/lead contributor who has hands-on LLM app/agent experience and is fluent in classical ML. You’ll own end-to-end LLM/ML initiatives - from problem framing and modeling to evaluation, deployment, and iteration - directly improving core product workflows (invoice understanding, approval matching, reconciliation, anomaly detection, and user-assist).

Your responsibilities

  • Own LLM/ML pipelines for extraction, classification, anomaly detection, and recommendations.

  • Define evaluation & monitoring: gold sets, automated tests, robustness checks, SLAs, and cost/latency tracking.

  • Productionize with Platform/Data Eng: bring your models live and iterate/improve until they are adopted by your stakeholders

About you

  • 5-10+ years in applied ML with production ownership of shipping models/systems.

  • Hands-on LLM app/agent experience (tool use/function calling, RAG, structured outputs, guardrails) in production.

  • Strong Python + ML stack (e.g., scikit-learn, XGBoost/LightGBM, PyTorch/TF) and solid experiment/evaluation skills.

  • Strategic Problem Solver: You approach ambiguous problems by deeply understanding business context and framing data science solutions that drive meaningful outcomes. You rigorously validate assumptions, identify root causes, and prioritize solving the right problem before building.

  • End-to-End Executor: You independently own projects from ideation to production, balancing model performance with engineering realities. You ensure solutions are scalable, monitored, and maintained with thoughtful evaluation, deployment, and iteration strategies

About Moss

Moss is the Finance AI platform for Europe's mid-sized businesses, giving companies real-time visibility and full control over their spend. By automating card issuing, invoice management and expenses, Moss simplifies financial workflows and frees finance and accounting teams from manual, administrative work.

Founded in Berlin and used by more than 5,000 businesses including Flink, Schufa, Gusto and Auto1, Moss has raised €200+ million to date and operates in Germany, the Netherlands, the UK and further EU markets. Moss is backed by the most renowned tech investors including Valar Ventures, Tiger Global, Global Founders Capital, Cherry Ventures, A-Star and Portage.

We have a team of 300+ people from 50+ nationalities in 5 offices across Europe. Be part of a culture that thrives on impact and speed, where you can take bold moves, learn fast and accomplish more. We’re a place where you can fast track your career - here's what else to expect:

  • Top-of-market compensation package, including equity.

  • Our vibrant offices are at the heart of our culture, where in-person time fuels collaboration and connection over weekly breakfasts and Friday demos.

  • Additional benefits include: 20 days “work from abroad”, 600EUR/GBP Learning & Development Budget, and other local benefits.

Unless stated otherwise, benefits apply to full-time positions (interns and working students receive a tailored package).

By applying for the above position, you will confirm that you have reviewed and agreed to ourData Privacy Policy .

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