Staff Machine Learning Engineer

Posted 3 Days Ago
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London, Greater London, England, GBR
In-Office
Expert/Leader
AdTech • Marketing Tech
The Role
Designs, builds, and ships production machine learning systems for real-time ranking, personalization, reward optimization, behavioral prediction, and measurement. Owns pipelines, training, serving, monitoring, experimentation, causal inference, and uplift modeling at large scale. Provides technical leadership and mentorship while partnering with engineering, product, and data science teams.
Summary Generated by Built In

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.

Skills Required

  • Experience shipping production systems end to end, from formulation through impact measurement
  • Full-stack machine learning capability spanning data pipelines, live serving, monitoring, and model decay
  • Experience with causal methods including propensity scoring, instrumental variables, contextual bandits, and uplift modeling
  • Experience building systems handling high-volume behavioral datasets and real-time inference
  • Published work or equivalent research discipline
  • Builder’s mindset and enthusiasm for shipping
  • Cross-functional collaboration with engineering, product, and data science teams on measurement and infrastructure
  • Zero-to-one experience
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The Company
HQ: Berlin
121 Employees
Year Founded: 2020

What We Do

Freecash.com, owned by Almedia, helps you to advertise your app or digital products to a highly engaging target group. Almedia operates platforms that collectively have more than 25,000,000 members as their user base. Our mission is to help leading brands acquire new potential customers and obtain the most accurate insights. Among our main services is paid user acquisition, so we can supply any quantity of new users for any game, app, website, or other product. Our innovative, in-house engine provides marketers and agencies with many advanced features, helping them not only find answers to their business questions but also increase revenue and brand awareness. Our market research services deliver results faster and at a lower cost than traditional market research firms. In terms of key metrics such as engagement and quality of users, we consistently outperform the market. Our biggest platform today is called Freecash. Since its launch in 2020, Freecash has been one of the fastest-growing platforms that allow users to test a wide range of products, apps, websites, games, etc., and get rewarded. Within 4 years our users have already earned over $57.000.000. With more than 15M registered users and 1M active users monthly we're already a leader in the market. Very good 4.6 * TrustPilot rating with over 70.000 reviews, proves that our platform performs very well. Freecash platform is incessantly modernized and developed. To meet the needs of advertisers, we are constantly adding new features and improving our platform. Feel free to contact and join us!

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