---
title: 'Staff Machine Learning Engineer at Almedia'
canonical: 'https://feeny.ai/job/staff-machine-learning-engineer-almedia-london-d1yje7ny41j6'
type: 'job'
last_seen: '2026-10-15'
---

# Staff Machine Learning Engineer at Almedia

- **Company:** Almedia
- **Location:** London, United Kingdom
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-06
- **Last confirmed live:** 2026-10-15
- **Apply:** https://jobs.ashbyhq.com/almedia/1799b3be-974c-4f4c-8452-76b01354da1b

## Job description

This isn’t your regular job. Almedia is a place where those who want to push harder can accelerate their careers faster than anywhere else. We’re aiming to become Germany’s second bootstrapped unicorn. Almedia is already Europe’s #3 fastest-growing company in 2025 (FT1000).

We are building the future of marketing by rewarding our community of over 95 million users for engaging with our advertisers’ products. We are offering a new way to acquire users for the biggest companies in the world.

Staff Machine Learning Engineer London, King's Cross Top-of-market compensation

## The Role

You'll take ownership of designing, building, and shipping production-grade systems that power ranking, personalisation, and reward structures in real time. You work hands-on with a small, high-ownership team. You have real influence over how we build our infrastructure as we grow it together. You spot leverage points others miss: systems that shift behaviour, ranking that balances user value and business sustainability, measurement frameworks that prove what actually works. You own these end to end.

## What You'll Own

- Ranking and personalisation systems that reach the right users in real time
- Reward and payout infrastructure balancing user motivation, cost, and business value
- Behavioural prediction through time-series and sequence systems
- Measurement and validation using A/B testing, causal inference, uplift modelling
- ML infrastructure: pipelines, training loops, serving, monitoring
- Technical leadership and mentorship on shipping discipline and impact

## What We're Looking For

- Shipped production systems end to end, from formulation through impact measurement
- Full-stack capability: data pipeline to live serving to monitoring and decay
- Causal thinking: propensity scoring, instrumental variables, contextual bandits, uplift modelling
- Scale experience: built systems handling high-volume behavioural datasets and real-time inference
- Published work or equivalent research discipline
- Builder's mindset: energised by shipping. Zero-to-one experience valued
- Cross-functional: collaborate across engineering, product, and data science teams on measurement and infrastructure

## Why This Matters

Real behavioural sequences. Billions of user decisions across multiple games. Your systems handle cold start, sparse reward, imbalanced value distributions. Both measurement rigour and systems thinking matter here.

## Why Almedia

- Profitable from launch. Higher revenue per employee than Big Tech.
- Small team by design. Every hire raises the bar.
- Top-of-market compensation including substantial equity.
- Real behavioural data at scale. Billions of user interactions, millions of daily active users.

We believe in fostering talent, evaluating all skill levels during the hiring process, and providing a clear path for growth. Almedia is an equal opportunity employer. We embrace and celebrate diversity, and encourage individuals from all backgrounds to apply.

## About Almedia

## Company Overview
- **One-liner**: Almedia builds the world's smartest engagement engine, powering reward-based user acquisition for games and apps through its flagship platform Freecash.
- **Entity Type**: Private (Bootstrapped)
- **Headquarters**: Berlin, Germany
- **Founded**: 2020
- **Founders**: Moritz Holländer (CEO)

## Core Business
- **Primary industry**: Advertising Technology (Rewarded User Acquisition)
- **Target customers**: B2B – game developers, app publishers, and brands looking to acquire high-quality, engaged users
- **Mission or purpose statement**: “Engineer the future of user acquisition and revolutionize the advertising technology landscape” by making user attention a compensated asset.

## Products & Services
- **[Freecash](https://almedia.co/)**: A reward-based user acquisition platform where 80M+ users earn real-money rewards for trying games, apps, and surveys. Delivers up to 2x 180-day ROAS and 3x ARPU compared to traditional channels.
- **Prizeplay**: Gamified rewards engine that boosts retention and lifetime value through tailored reward systems.
- **Cashback (via zave.it acquisition, August 2025)**: Cashback offers for purchases, integrated into Freecash and expanding into European markets.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (bootstrapped, no external funding rounds publicly known)
- **Key Metric**: Annual revenue estimated at USD $100M–$500M (LinkedIn company data); $91M+ paid out to users to date.
- **Notable Investors/Partners**: Bootstrapped – no venture capital; partners include 1,200+ games and brands (e.g., Candivore). Recognized by Financial Times FT1000 (2025) as Europe’s fastest-growing advertising company.
- **Growth Signals**: 
  - 80M+ users (up from 60M+ earlier in 2025)
  - Headcount grew 51.5% YoY to 139 employees (LinkedIn, 2026)
  - Freecash topped iOS App Store charts globally (Feb 2026)
  - Re-entered Google Play (May 2026)
  - Acquired German cashback platform zave.it (Aug 2025)

## Competitive Advantages
- **Bootstrapped unicorn trajectory**: No outside investors means full ownership and long-term focus.
- **Proprietary reward engine**: Drives 2–3x higher ROAS and retention vs. traditional UA channels.
- **Data-driven intelligence**: Real-time analytics and custom reward structures optimize campaign performance.
- **Large, engaged user base**: 80M+ users with a 4.8★ Trustpilot rating from 250,000+ reviews.
- **Global reach with local focus**: Operates in 20+ countries including UK, China, South Korea, India, and Armenia.

## Strategic Focus
- **Deepen the Freecash ecosystem**: Expand reward types (cashback, in-game rewards) across more geographies.
- **Scale the platform internationally**: Enter new markets with localized reward offerings (e.g., cashback in Germany after zave.it acquisition).
- **Invest in AI and data science**: Recent job postings include AI Full Stack Engineer, CRM Marketing Manager – Data & AI Operations, and Data Scientist.
- **Double down on engineering and product quality**: Hiring for high-ownership roles like Founding Engineer.

## Why Work Here
- **Culture of ownership and impact**: Values like “Own Everything, Get It Done” and “Focus on Impact” mean employees take real responsibility early. Described as “not a 9-5 – we highly reward intensity.”
- **High growth environment**: 51.5% headcount growth YoY with 54 open positions as of mid-2026. Opportunity to accelerate career faster than at larger companies.
- **Fully in-office**: 5 days a week in Berlin to build “energising momentum” – team collaboration is a core value.
- **Competitive compensation**: Employer rating of 4.0/5.0 for compensation on LinkedIn (3.8 overall). Revenue in nine figures.
- **Engineering-centric**: 15% of staff in technical roles; hiring for Founding Engineer, AI Full Stack Engineer, Data Scientist – suggesting strong engineering culture and modern stack.
- **Notable perks**: Being part of a bootstrapped unicorn story; work with a young, international team (average age likely mid-20s). Recent alumni go to fast-growing startups like Trade Republic, Moloco.

## Sources
1. [Almedia About Page](https://almedia.co/about)
2. [Almedia Homepage](https://almedia.co/)
3. [Almedia Careers Page](https://almedia.co/careers)
4. [Almedia Press Page](https://almedia.co/press)
5. [LinkedIn Company Profile](https://www.linkedin.com/company/almediaco/)

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