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Open nowPosted 3 days ago

Staff Machine Learning Engineer

Almedia38 open roles

Where
London
Work mode
On site
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Your applicationOpen nowStaff Machine Learning EngineerAlmedia · London

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The clock on this job

Early applications get read.

8.2% of postings close within 7 days. Measured by our own scanner across the market. Almedia postings stay open a median of 7 days.

Share of postings closed within
  1. 1.9%1 day
  2. 3.8%3 days
  3. 8.2%7 days
  4. 15.2%14 days
  5. 34.1%30 days
This job: posted 3 days ago

Almedia median: 7 days open

The posting

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.

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