CV/ML Implementation Engineer [Startup]

Brussels (on-site, max 1-2d/week remote) | Competitive salary + Stock Options (ESOP) | Python · Computer Vision · ML

Every model you deploy helps redirect a garment away from landfill ♻️

About Trosort

At Trosort, we build AI-powered machines to revolutionize textile sorting. Our product, the SortMate, combines cameras, NIR sensors, and machine learning to automate the grading and sorting of used garments at industrial scale — detecting brand, condition, material, and resale value in real time.

We don't just sort textiles. We're building the data and automation backbone of the circular fashion economy.

The role

This is a unique hybrid role sitting at the intersection of customer success and applied ML engineering. You will be the technical face of Trosort for our customers — guiding them from onboarding to full deployment — while also contributing directly to the CV/ML product team to extend and adapt our models to new client needs.

You are the bridge between what the customer needs and what the machine can do.

Your impact

→ Customer onboarding & success: Lead the technical onboarding of new clients. Understand their sorting workflows, configure the SortMate to their context, and ensure smooth go-live.

→ Model adaptation & fine-tuning: Work with the CV/ML team to adapt models (brand recognition, defect detection, attribute extraction) to new garment types, lighting conditions, or product categories.

→ Data analysis & feedback loops: Analyze inference data from client deployments to identify performance gaps, edge cases, and distribution shifts. Turn customer feedback into model improvements.

→ Technical project management: Own customer implementation projects end-to-end — from requirements gathering to deployment sign-off.

There is a match if you have

✔ A builder's mindset — as comfortable debugging a model in a notebook as jumping on a customer call 

✔ 3+ years of hands-on CV/ML experience in Python (PyTorch, TensorFlow, or similar) 

✔ Strong communication skills — you translate technical realities for non-technical customers, and customer needs into engineering specs 

✔ A taste for messy real-world data — you build robust pipelines for noisy, inconsistent production environments 

✔ Fluent in English — you communicate clearly with international clients and partners. French is a plus.

✔ Last but not least : startup DNA — you don't wait for a perfect spec. You figure it out, ship it, and improve it.

Nice to have

→ Experience with edge-deployed models or IoT/embedded contexts

→ Familiarity with GCP or similar cloud ML infrastructure

→ Prior experience in a customer-facing technical role (solutions engineer, ML consultant, etc.)

→ Knowledge of the textile or logistics industry

Why Trosort?

Real machines, real impact — you deploy a model update and a machine on the other side of the world changes how it sorts garments. No hypothetical impact here.

Stock options (ESOP) — competitive salary and equity, because we want you to share in what we're building.

⚡ Tight-knit engineering team — 6 highly motivated engineers. No bureaucracy. Your work is visible and it matters.

A mission worth it — textile waste is one of the biggest environmental problems in fashion. We're solving it at the source.

Startup pace, real ownership — no ticket queues, no committee approvals. You see a problem, you fix it. Your fingerprints will be all over the product.

Interested? Your next garment is waiting to be sorted. ➡️✅

Send us your profile at trosort.com/careers— we'd love to hear from you.