Machine Learning Engineer, Wefox
Digital insurance solutions
Job no longer available
Digital insurance solutions
501-1000 employees
Job no longer available
501-1000 employees
Company mission
wefox's mission is to make insurance 10x better for individuals, brokers, partners, and insurers.
Role
Who you are
- Strong knowledge of machine learning architectures: fully connected, CNN, transformers, language models…
- Experience in one (or more) of the following fields: computer vision, natural language processing, audio processing, time series, anomaly detection..
- Good development skills in Python. Any additional languages like C/C++or Rust would be a plus
- Strong interest in software development
- Experience with Docker, AWS, kubernetes, build and CI/CD tools would be a plus
- Experience with relational and non-relational DB
- Experience in code optimization is a plus
- Experience in understanding product requirements
- Embrace ownership, autonomy and agile methodology
- Good English proficiency (Work in an international environment)
What the job involves
- We are currently looking for a Machine Learning Engineer to join wefox’s Advanced Innovation Team in Paris
- Our focus, as a cross-functional team, is to leverage machine learning to improve the customer experience, and to deliver innovative products like recommendation, natural language question and answering on unstructured documents, risk detection and risk prevention
- As a machine learning engineer you will be involved throughout the lifecycle of the development with the responsibility of machine learning models development: data exploration, state of the art and model architecture, implementation, training, inference/serving, optimization, monitoring and maintenance
- Design, implement, deploy, with your agile team, distributed, high-volume, high-performance, low-latency machine learning models
- Contribute in all phases of the development life cycle, and take ownership of your models: from first data exploration and state of the art to the maintenance and monitoring of models in production
- Participate in data exploration and data cleaning to build reproducible, versioned datasets
- Train high performance models in a reproducible environment
- Optimize models for low latency and performance
- Participate in the deployment of models in production
- Monitor, maintain and improve model performances in production
- Write good designed, testable and efficient code for pre and post processing
- Integrate your models and code in CI/CD environments
- Work closely with product owners, devops, and quality assurance in an agile cross-functional team
- Develop relationships with internal and external stakeholders
- Work on a variety of different projects with a typical duration of 3 to 8 months
- Bring your own ideas through our ideation process
- Have a strategic and continuous improvement mentality
- Love for new technologies and continuous learning
Our take
wefox is an insurtech platform where shoppers can compare and purchase insurance products from their phones, and onto which brokers can onboard their clients to help manage operations. The aim is to complement, not render obsolete, the role of the human agents and brokers with whom wefox works.
The company focuses on personal insurance products, such as household insurance, motor insurance and personal liability insurance. It hit Unicorn status in 2019 - becoming the fastest-ever European Fintech to do so - and was valued at over $4.5 billion in 2023.
wefox is continuing to double its revenues and maintain a focus on growth with a clear path towards profitability, whilst strengthening its Board with the appointment of strong senior talent. It is investing heavily in deepening its European presence, expanding to Asian markets, and off the back of debt funding at the end of 2023, is focusing more on its broker operations. Despite layoffs in the same year, it is rapidly developing and releasing new insurance products to continue its disruption of the $5.2 trillion industry.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
9% employee growth in 12 months
Company
Funding (last 2 of 10 rounds)
Jul 2025
$88.3m
LATE VC
Jul 2024
$26.8m
CONVERTIBLE
Total funding: $1.5bn
Company benefits
- Private Health Insurance
- Discounted fitness memberships
- Up to 50% of your public transport costs reimbursed
- Language lessons (English, German or Spanish)
- Stock Ownership Plan after 2 years
- Free access to a mental health and well-being platform for personalised care, such as 1:1 coaching and therapy sessions
- 26 working days of vacation + 24th and 31st December
- Seniority days: one day of extra holiday per employment year starting from the 2nd anniversary in the company (up to 30 days total holidays)
- A stack of the latest technologies and working gadgets
- Training and Coaching opportunities
- Free coffee, fruit, and snacks because we need fuel!
Company HQ
Tiergarten, Berlin, Germany
Leadership
Fabian Wesemann
(CFO)Previously an associate and analyst at Deutsche Bank, he then co-founded and worked as a mentor at EMPAUA.
Dario Fazlic
(CRO & Member of the Board)Previously founded MOVU AG, and has gone on to invest in the likes of ImmoZins, The Singularity Advisors, and Schlaufux.
Julian Teicke
(CEO)He has a number of co-founder credits to his name, including HeartSpace, doctorly, and Kenjo.
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