Machine Learning Engineer, Spendesk
Company spend management platform
Open for applications
Company spend management platform
201-500 employees
Open for applications
201-500 employees
Company mission
To liberate businesses and people to do their best work.
Role
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
What the job involves
- 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
- 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
Our take
Spendesk is an all-in-one spend management solution created to deliver more control, visibility, and automation to today's finance teams. Top startups like Drivy, Konbini, Dataiku or Deezer are already customers of Spendesk.
With flexible payments, approvals, automated receipt capture and real-time spend insights, the company specifically allows finance teams to decentralise operational spending across the business without any loss of control or visibility. Employees benefit from streamlined expense and invoice management through the Spendesk website and app.
Expense management platforms are becoming an increasingly crowded space, with competitors like Soldo and Expensify also building similar products. Spendesk will have to keep innovating its offerings to stay relevant. But with substantial funding to its name along with a number of strategic partnerships (including Visa), the company is making sure it stays ahead of the competition.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
53% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Jan 2022
$114.8m
SERIES C
Jul 2021
$114.8m
SERIES C
Total funding: $297.5m
Company benefits
- Transport reimbursement: Monthly contributions to your transport card (metro, bus or train)
- Offsites and events: Regular team events to exchange with other Spendeskers and get to know each other better
- Annual leave: 28 days per year to rest and relax
- €50 on your Spendesk card: To buy anything you need for work
- For Spendeskers with kids: Generous parental leave & a lot of flexibility for working parents
- Great offices: In the hearts of Berlin, London, Madrid, and Paris
Company HQ
L'Europe, Paris, France
Leadership
Axel Demazy
(CEO)Joined Spendesk in 2024 as CEO. Prior to this, they spent over 4 years at Jellsmack as the COO and General Manager and over 8 years at the Boston Consulting Group as a Partner.
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