Machine Learning Engineer

We are on a mission to liberate businesses and people to do their best work.
We are an ambitious, international team with more than 30 nationalities represented today. We believe that people do their best work when they’re given the freedom to thrive and grow. Thinking big, bringing a positive attitude, and taking full ownership are three characteristics that thread our team together.
Founded in 2016 Spendesk today serves thousands of businesses in Europe and the US, and we recently raised €100m in a Series C funding round. Our team of 350+ Spendeskers, is spread across four offices in Paris, Berlin, London and San Francisco, alongside many teammates working remotely from various cities in Europe.
And we're growing fast. Come join us!
The Machine Learning team is in charge of building Machine Learning solutions for the Spendesk product.
Identify strong product needs for automationDeliver and monitor data automation features: leverage data and build Machine Learning algorithm to solve identified product needs

Key responsibilities

• Design and build the Machine Learning platform to train and serve models offline - for business teams - and online - for the Spendesk product
• Setup the tooling to deliver and monitoring algorithms and models performance overtime
• Advocate and promote best practices at every level: Python/SQL code, data models, monitoring, security, design, infrastructure-as-code, practices...
• Anticipate growth and plan for the future: make sure the Machine Learning Platform will scale to handle more data, more online traffic, new use cases, lower latency...

Our Stack

• Python: Scikit Learn, Pandas, NLTK
• Google Vision
• DBT
• Snowflake
• Airflow
• MLflow
• AWS SageMaker
• Kubernetes / AWS
• Fivetran
• Looker
• Datadog

Requirements

• 5+ years experience in Data Engineering
• Experience working with Machine learning models
• Strong experience with SQL and Python
• You build and operate Data Flows at scale
• DevOps mindset: you build and operate your applications
• Strong architectural skills
• Fluent in written and spoken English - it is our business language

As we are an international team, please submit your application and CV in English.

Benefits:
- Exciting time to join Spendesk in terms of growth and opportunities- Competitive compensation package with equity (everyone is an owner of the company!)- Flexible and remote-friendly work environment- The best equipment for your needs (Macbook Pro, secondary screen, ...)- Internal social events (hackathon, company-wide parties, offsite, ...)- Brand-new offices in the heart of Paris, Berlin & London- A purple Spendesk card (for your work purchases)!- And more!

What you can expect from the process:
1. A video call with one of our Talent Acquisition Partners to fully understand your career aspirations and answer any questions you have2. A series of videos calls with members of the team to align on what they will expect from you, and assess your technical skills and job fit3. A final video call with the Hiring Manager, Head-Of, or C-Level (CEO included) to review any remaining questions