As a Machine Learning Engineer, you will join our data team - a cross-functional team (with analysts, engineers & machine learning engineers) - whose mission is to supply Lukooms, stakeholders & customers, with trusted data and data services that are easy to use to unlock growth & quality of services.

Your mission in the team?

As a ML Engineer at Luko, your mission will be to : 

• Own ML models end-to-end, from collecting training data to deploying in production;
• Develop and maintain solutions running in production for real-world problems;
• Follow AI/ML research and apply it to create and improve models in production;
• Bring algorithms and models research into practice;
• Be responsible for the quality and ongoing evaluation of the ML models;
• Working closely with the application teams to successfully integrate models into our product;
• Be proactive to propose innovative solutions to tribes.

What you will need to be successful?

• 1 to 3 years of experience in Machine Learning (PhD counted as experience);
• A solid understanding of Maths and CS fundamentals;
• Solid analytical and advanced statistical skills;
• Coding skills in one or more general-purpose languages (Java, C/C++, Python, etc.);
• Ability to perform applied research projects and bring them to production;
• Professional experience with Tensorflow/Pytorch or other popular ML framework;
• Being a team player with clear communication skills
• Proficiency in English (written and spoken)
  

➕ Bonus if you also have :

• Experience in Reinforcement Learning or Supply/Demand modeling
• Proven experience to translate insights into business recommendations

What is in it for you?

• Be part of the fastest-growing Insurtech in Europe
• Be part of the #1 French scale-up to work for in terms of well-being
• Evolve in a stimulating and challenging environment
• Share and learn with a passionate and diverse team
• International and friendly team
• Offices in Paris & Berlin
• Meal vouchers
• Learning and development course
• Free books
• Unlimited days off policy
• Remote-friendly policy

The Recruitment Process?

1. Quick quiz on coding & ML - to evaluate basic coding and statistics knowledge

2. First interview/ Introduction call with Issa our ML Lead. 

3. Live Coding and ML interview with the ML team (Meet with Frederic & Mathieu)

4. Lukofit interview and final discussion with Alison (Talent Acquisition Manager)

Who are we?

Luko is a neo-insurer that has become the number one direct insurance company in France and Europe in 5 years with the fastest growth. Luko was born from a simple observation: 50% of French people distrust their insurers. In order to reverse this vision of insurance as a necessary evil, Luko's mission is to reinvent insurance so that it is finally simple, transparent, and useful.

On the agenda: accessible, efficient, and intuitive, with a caring team, based on a business model that re-aligns everyone's interests via the giveback.

B-Corp certified and with the highest-rated customer service in its category, Luko has earned the trust of over 400,000 policyholders (in France and Germany). Since its beginning, Luko has been supported by EQT Ventures, Accel, Founders Fund, Speed Invest with whom we have raised €70 million in Series A and B, as well as the world's largest reinsurers Munich Re and Swiss Re.

Committed to equal employment opportunity, inclusion, and diversity within our teams, Luko is looking for talent willing to join our 200+ Lukooms to shake up an entire industry.

You’ve read all the way, you may as well apply!

Our company-wide communication language is English (written & spoken). We would therefore appreciate it if you could send us your application’s content (CV, cover letter, portfolio…) in English.

If you have any questions take a look at our Luko open handbook to find out more about who we are, what we do, and how we work.

Belonging: Diversity, Inclusion & Equity

We believe inclusion is the result of ongoing commitment. We want to build an authentic environment, open to everyone regardless of nationality, physical ability, family structure, age, socio-economics, civil status, sexual orientation, gender identity, ethnic origin, religion, belief or anything else that makes your life experience unique. We are continuously working to create a diverse, equitable, and inclusive environment, where everyone has a space to thrive. To encourage this philosophy we have put in place policies to support this mindset, you can read more about this here.