Research Engineer

📍 Paris | Full-time | Fluent 🇫🇷 & 🇬🇧   At Bigblue, we're building the logistics backbone for the next generation of commerce. Modern brands sell everywhere: through their own online stores, marketplaces, retail, social commerce, and more. Across every channel, customers expect the same fast, reliable, and transparent experience after they buy. What used to be Amazon's exclusive advantage is now becoming the standard for every ambitious brand. We're helping them get there. Since 2018, we've built a tech-driven fulfilment platform used by 600+ brands, including Muji, Aigle, Scuffers, and Cabaïa. With 200+ Bigbluers across the UK, France, Spain, and Germany, our proprietary tech stack, and a network of 9 warehouses and over 100,000 sqm of fulfilment space across Europe, we ship millions of orders every month. And we're nowhere near done! Backed by €20M+ in funding, we're expanding across Europe and building the operating system that will power modern commerce operations at a global scale. At Bigblue, we hold ourselves to a very high bar: in the quality of our product, the rigour of our operations, and the care we bring to every merchant we work with. You'll be working alongside talented people on real, high-impact problems, in an environment where high standards come with genuine support, ownership, and room to grow. If you want your work to matter from day one, you're in the right place.     The Role   As an Applied Scientist, you will develop and maintain efficient and robust algorithms that significantly improve our warehouse operations. You'll work at the intersection of research and engineering, identifying optimization opportunities, collaborating with stakeholders on operational feasibility, and shipping solutions that have immediate, visible impact on our European fulfillment network.   This is probably one of the highest-leverage job openings we have today – each percentage of performance we squeeze out of our algorithms allow us to scale even faster.   What You Will Work On Identify optimization opportunities across our WMS algorithms Align with stakeholders on operational feasibility and discuss tradeoffs Develop and maintain efficient and robust algorithms that significantly improve our operations Collect feedback, measure performance and iterate based on real-world results Requirements - must haves

Either 4+ years of experience developing and applying optimization algorithms, or a PhD focused on applied optimization (i.e. Operation Research, Control Theory, Simulation, …)

Proficient in software engineering methods and tools (IDE, git, tests, …)

Strong collaboration skills and ability to work with diverse teams

Solid foundations in algorithms, optimization theory, and their practical limits

Bonus

Experience in the Logistics industry

Published one or more research paper(s)

Open source contributions

What Success Looks Like

After 6 months: You've ramped-up on our codebase, built an experimentation framework and tested several improvements to our existing algorithms

After 1 year: You're mentoring fellow engineers to develop our optimization capabilities

After 2 years: You're leading a small team focused on making our WMS optimization solutions world class

Why This Role Is Exciting (at least to us)

High volumes: Work with data from the largest tech player in the field based in Europe

High agency: We are a small team and you get to design, develop, ship, and actually see the result of your work on the ground

Open field: It's still day 1 at Bigblue and you will drive many important decisions that will shape both your job and the entire company

Interview Process

Recruiter phone screen: Get to know Bigblue and the role

Hiring manager phone screen: Deep dive into your experience and the position

Case study: Technical algorithm-focused challenge

Onsite interview: Past project discussion and culture fit

2-3 Reference calls

🎉 Offer

Salary

Annual salary: based on experience

BSPCE grant (stock options)