---
title: 'Robot Learning Engineer at Rohlik'
canonical: 'https://feeny.ai/job/robot-learning-engineer-rohlik-prague-a0sv2xp5f55a'
type: 'job'
last_seen: '2026-09-11'
---

# Robot Learning Engineer at Rohlik

- **Company:** Rohlik
- **Location:** Prague, Czech Republic
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-28
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.ashbyhq.com/rohlik/8acce5b3-f15c-4a3c-b1c9-7215dfbed82a

## Job description

## Why this role is exciting

Rohlik is the leading Central European e-grocer. More than a million customers buy their groceries from us through [Rohlik.cz](http://Rohlik.cz), [Knuspr.de](http://Knuspr.de), [Kifli.hu](http://Kifli.hu), [Gurkerl.at](http://Gurkerl.at) and [Sezamo.ro](http://Sezamo.ro), choosing from over 17,000 items, delivered within a couple of hours in 15-minute windows. We are building the autonomous grocer. Maia, our AI assistant, already talks to customers and builds their orders; agents are moving into our buying and logistics; vision models are learning to watch quality. The next frontier is physical: robots taking over more and more of the work in our fulfilment centres, until fresh food moves from producers to households at a cost nobody else can match. We are setting out to record how our own people handle groceries and to turn those recordings into a training corpus for manipulation policies. Our warehouses already log what happened on every pick and every quality check, so the recordings can carry labels most datasets never get. Making that hold is part of the job. You decide what makes an hour of footage trainable — before we bank hundreds of them.

## What you will own and deliver

- The capture spec. Cameras, mounts, calibration, and what disqualifies an episode. You write it before we buy the fleet and enforce it after. When the spec and the floor disagree, you go to the floor and find out which one is wrong.
- Ground truth. Hand pose is the signal that transfers from human video to robot policies, and warehouse reality — work gloves, occlusion, cold halls — is exactly where the published models struggle. You own how we measure that and how we close the gap.
- The evaluation harness. The corpus only counts if a policy can train on it. You build the harness that decides which hours make the bank, and you hold the trainability bar as the volume grows.
- The first training runs. Once hours bank, you post-train open robot-learning models on our data and run the first task evaluations.
- Judgment before spend. The field moves monthly. You read what is published, reproduce the claims we depend on, and steer our capture before the money is spent, not after.

The scope This is a seat on a small, newly created team: an operations lead who runs capture on the floor, a data engineer who owns the pipeline, and you: the machine-learning voice in the room. This is not a research-scientist role, and no publication record is required. The job is to make a corpus trainable and to train the first policies on it.

## What we are looking for

- PyTorch, and computer vision with real 3D geometry. Camera calibration, pose estimation, SLAM fundamentals. You have debugged an extrinsic calibration at least once in your life and know why it drifted.
- You can read a paper and reproduce it. Our pipeline is assembled from published work, and your job is knowing which claims survive contact with a chilled warehouse hall.
- You know what policies train on. Familiar with the current robot-learning stack and policy classes well enough to know what the training side will demand of the data before the data exists.
- Dataset instincts. You have trained on data you collected yourself, and you know the failure modes that only show up at training tim..
- Comfortable as the only ML voice. You make the call, write it down, and revisit it when the pilot data says otherwise.
- AI is how work gets done here. Our engineers use Claude Code and Devin daily, and we expect you to direct agents for the unglamorous parts — harness code, data plumbing, reproduction scripts — while keeping the quality bar exactly where it was.
- Particularly relevant. Hand-pose estimation or egocentric video in production; multi-camera rigs and time sync; experience post-training robot-learning models; ROS 2.

What success looks like in 90 days You have written the capture spec and we set up the first rigs against it. Your pilot gates have numbers, the first hours have passed your harness, and you can tell the people who sign the budget, with data, what the next hundred hours should look like.

Are we a good fit? Take this role if you would rather own the spec that decides whether a dataset becomes an asset or a write-off than tune someone else's model on someone else's data, if a fulfilment centre at 6 a.m. sounds like a lab to you, and if you want the shortest possible line between your technical judgment and a capital decision. Read our [culture code](https://career.rohlik.group/group/our-culture-code) and [are we a good fit?](https://career.rohlik.group/group/are-we-a-good-fit).

## What we offer

- The physical-AI side of the autonomous grocer, with the capture spec and the first training runs yours from day one
- A data asset few teams in the world get to build, in fresh groceries, a domain as hard as manipulation gets
- Off-the-shelf hardware, a managed cloud estate, and a mandate that has already started
- Benefits — see [what we offer](https://career.rohlik.group/group/what-we-offer)

Are you in? Instead of a cover letter: pick a published human-video-to-robot-policy pipeline you rate, and tell us where it breaks on a warehouse floor where every hand wears a work glove.

## #LI-ML1

## About Rohlik

## Company Overview
- **One-liner**: Rohlik Group is a European technology leader in e-grocery, offering fast, same-day delivery of up to 25,000 items through proprietary AI-powered logistics.
- **Entity Type**: Private – Unicorn (valuation >€1 billion as of July 2021)
- **Headquarters**: Prague, Czech Republic
- **Founded**: 2014
- **Founders**: Tomáš Čupr (Founder & Group Chief Executive Officer)

## Core Business
- **Primary industry**: E-grocery / Online food retail, with a strong technology and logistics foundation.
- **Target customers**: B2C (households and families across Europe) and B2B (retailers via Veloq platform).
- **Mission or purpose**: “Eat well, live well” – helping Europeans lead healthier and happier lives through a radically improved grocery experience.

## Products & Services
- **Rohlik.cz (Czechia)**: Flagship service – 17,000+ items, delivery in 60 minutes or within 15‑minute slots, same‑day delivery. Also offers private labels and farm‑to‑door local produce.
- **Kifli.hu (Hungary)**: Same model as Rohlik.cz, delivering to Budapest and surrounding areas.
- **Gurkerl.at (Austria)**: Vienna‑based e‑grocery service, re‑opened with ARCOS automation in October 2024.
- **Knuspr.de (Germany)**: Serving Munich, Frankfurt, Berlin – integrated with Amazon (store‑in‑store) and Wolt. Munich exceeding 100,000 monthly orders.
- **Sezamo.ro (Romania)**: Launched in early 2022, delivers 8,000+ products within 2‑hour windows.
- **Bringmeister (Germany)**: Acquired September 2023, operations transitioned to Knuspr’s automated fulfillment.
- **Veloq (B2B Platform)**: Standalone subsidiary launched in October 2025 – offers Rohlik’s full grocery operating system (including ARCOS, AI tools) to retailers worldwide.
- **Private Labels & Xtra Loyalty Program**: High‑quality own‑brand products; Xtra program offers 10% rebates on private label and organic items.

## Market Standing
- **Valuation**: >€1 billion unicorn (July 2021) – “reaching unicorn status with a valuation above €1 billion” [rohlik.fund](https://www.rohlik.fund/public/files/ke-stazeni-en/rohlik-group-annual-report-fy-2025.pdf).
- **Key Metric (Revenue)**: €1.1 billion revenue in FY 2024/25 (+34% YoY); 17.5 million orders (+35% YoY); gross profit €389 million (+38% YoY) [rohlik.fund](https://www.rohlik.fund/public/files/ke-stazeni-en/rohlik-group-annual-report-fy-2025.pdf).
- **Total Funding**: €481 million raised since 2021, including €121m (March 2021, Partech/Index Ventures), €220m Series D (June 2022, Sofina), and €160m (June 2024, EBRD) [rohlik.fund](https://www.rohlik.fund/public/files/ke-stazeni-en/rohlik-group-annual-report-fy-2025.pdf).
- **Notable Investors/Partners**: Partech, Index Ventures, Sofina, European Bank for Reconstruction and Development (EBRD), Amazon, Wolt.
- **Growth Signals**: 34% revenue growth; Czechia delivered €58m adjusted EBITDA; group operating loss per order reduced by 39% YoY to €3.6; over 33% of last‑mile fleet electric; 11 fulfillment centers (6 automated); 7,000+ employees [rohlik.fund](https://www.rohlik.fund/public/files/ke-stazeni-en/rohlik-group-annual-report-fy-2025.pdf).

## Competitive Advantages
- **Proprietary Technology**: ARCOS – AI‑driven warehouse control system (98% demand prediction accuracy, 30% efficiency gains); robotic picking lines (150–160 units/hour).
- **Speed & Reliability**: 15‑minute delivery windows with 97% reliability; 60‑minute standard delivery; Net Promoter Score of 70% across all countries.
- **Scale & Profitability Proof**: Czechia profitable (positive EBITDA); economics proven at scale – “the economics of e‑grocery work when powered by Rohlik technologies”.
- **Asset‑Light B2B Model**: Veloq platform enables near‑zero marginal cost software revenue, positioning the company as a tech platform rather than a pure retailer.
- **Sustainability**: Electric last‑mile fleet, reusable bags (48% in Czechia), upcycling category (first European retailer to launch dedicated upcycling category).

## Strategic Focus
- **International Expansion**: Targeting Germany (Europe’s largest economy) with Amazon and Wolt partnerships; potential further geographic growth.
- **AI & Automation**: Rolling out ARCOS and robotic picking to all fulfillment centers; continuous improvement in efficiency and cost reduction.
- **B2B Platform (Veloq)**: Monetizing Rohlik’s operating system for third‑party grocers – a high‑margin, scalable revenue stream.
- **Assortment Expansion**: Private label brands, local sourcing, upcycling products, and a growing loyalty program (Xtra).

## Why Work Here
- **Culture & Impact**: “Amaze the customer” ethos; 7,000+ colleagues from Amazon, Ocado, Netflix, SpaceX; entrepreneurial culture with global expertise [rohlik.fund](https://www.rohlik.fund/public/files/ke-stazeni-en/rohlik-group-annual-report-fy-2025.pdf).
- **Work Flexibility**: “Work from anywhere” policy explicitly mentioned on career pages; offices in Prague, Vienna, Munich, Frankfurt, Budapest, Bucharest [career.rohlik.group](https://career.rohlik.group/group).
- **Growth Trajectory**: 34% revenue growth, expanding into new markets, launching B2B platform – high potential for career development.
- **Notable Perks**: Sustainability focus (electric fleet, upcycling), employee discounts (Xtra loyalty), modern offices (Prague office in Karlín district).
- **Engineering Environment**: Data‑led tech company; AI, robotics, and warehouse automation at core; strong emphasis on technology innovation.

## Sources
1. [rohlik.group (Company Overview)](https://www.rohlik.group/)
2. [rohlik.group (Business Fundamentals)](https://www.rohlik.group/business-fundamentals)
3. [career.rohlik.group (Careers & Culture)](https://career.rohlik.group/group)
4. [rohlik.fund (Annual Report FY 2025)](https://www.rohlik.fund/public/files/ke-stazeni-en/rohlik-group-annual-report-fy-2025.pdf)

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