Research Engineer Ajouter aux favoris

Paris | Full-time | Fluent FR & GB

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)

Why join Bigblue

High impact role: Be at the center of our growth journey and help shape the team that will power Bigblue's future.

Founders-led company with an innovative, caring culture.

Fast-growing scale-up: Join a well-funded, early-stage company where your work will have immediate and visible results.

International environment: Work across Paris, Madrid, London, and our European warehouse network.

Brand-new offices in the heart of Paris' 9th arrondissement (biggest tech hub).

10€ meal voucher per worked day (55% paid by Bigblue) + unlimited free snacks at the office.

ClassPass membership for fitness & wellness.

MacBook or any setup you need - your choice of equipment to do your best work.

100% health insurance coverage with Benefiz.

Regardless of sex, gender identity, sexual orientation, race, color, religion, origin, disability, age... At Bigblue, we create equal opportunities for all and make our culture as inclusive as possible. Because we believe that challenging assumptions and embracing diversity in experiences and backgrounds is what makes us stronger.

Because what we value first and foremost are curiosity and growth-driven minds. So, regardless of who you are and how many "boxes" you tick on the job description, if you have the energy and passion to help shape Bigblue's entrepreneurial adventure, APPLY.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.