Machine Learning Engineer

Job summary
Permanent contract
Paris
Salary: Not specified
A few days at home
Experience: > 3 years
Skills & expertise
Generated content
Unicorn
Kubernetes
Docker
Aws
Sql
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Spendesk
Spendesk

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Questions and answers about the job

The position

Job description

As a Machine Learning Engineer at Spendesk, you’ll play a key role in architecting, building, and scaling ML-driven features and infrastructure — including the adoption of GenAI and LLMs — to deliver robust, reliable, and innovative solutions that transform how our users interact with business finance tools.

What you'll do

  • Design, implement, and maintain robust ML systems, APIs, and pipelines in production environments
  • Build scalable infrastructure for training, deploying and monitoring machine learning models, including LLMs and genAI solutions
  • Work closely with product and engineering teams to define clear requirements and deliver impactful ML-powered features (e.g. automated document processing, transaction categorization, fraud and anomaly detection)
  • Research, experiment with, and engineer LLMs and GenAI (agents) solutions to improve our OCR capabilities and unlock innovative client features
  • Continuously evaluate and adopt new tools and technologies to improve our AI engineering stack and workflows
  • Monitor performance and reliability of AI models in production, ensuring robust and scalable operations
  • Who you are

  • MS in Computer Science, Mathematics, or a related field
  • 3+ years of experience as a Machine Learning Engineer or Software Engineer with ML/AI focus
  • Strong programming skills in SQL and Python
  • Hands-on experience working with LLMs
  • Experience deploying and operating Machine Learning models in production
  • Familiarity with ML Ops tooling (Docker, Kubernetes, etc) and cloud platforms (AWS, GCP, etc) is a plus
  • Strong communication skills, able to work effectively with engineers, product managers, and other stakeholders
  • As we are an international team, please submit your application and CV in English.

    About Spendesk 

    Spendesk is the 7-in-1 spending solution built for finance teams to make faster, smarter spending decisions. Founded in 2016, Spendesk is now one of the fastest-growing fintechs in Europe, with over 4,000 customers and an international team of 300+ employees based in Paris, Berlin, London, and a few in remote. We’ve raised over €260M from leading investors, and been named a French tech unicorn. And we’re not stopping there! 

    About our people & culture

    We believe that people do their best work when they’re given the freedom to thrive and grow. That’s why liberation is at the core of everything we do. We empower Spendeskers to take ownership of their work, to navigate ambiguity, and seize every opportunity. Spendeskers come from all over the world (35+ countries and counting!) but we have plenty in common: we're bold, ever-curious, committed to kindness, and tackle every challenge with a positive mindset. 

    About our benefits 

    Our culture is built on trust, empowerment, and growth — with benefits to match!

    - Flexible remote policy

    - Lunch 60% funded by Spendesk (Swile Card)

    - Alan Premium health insurance

    - A Gymlib pass to let off steam after a productive day at work

    - Access to Moka.care for emotional and mental health wellbeing

    - Access to Vendredi allowing us to change the world

    - Latest Apple equipment

    - Great office snacks to fuel your day

    - A positive team to work with daily!

    Diversity & Inclusion

    At Spendesk, we're committed to fostering an environment where all differences are encouraged, supported and celebrated. We're building our culture for everyone, with everyone. Our goal is to attract and build a diverse, equal and inclusive team, where everyone feels welcome and we truly embrace and encourage people from all backgrounds to apply.

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