Machine Learning Engineer

Навыки

• A/B-тесты
• Производство
• Machine Learning
• Room / Realm / CoreData
• Ответственность за результат
• Retention и отток
• ROI / ROMI / ROAS

О компании и продукте

• You'll take ownership of designing, building, and shipping production-grade ML systems that power how Almedia ranks offers and personalises rewards for users in real time. This is a hands-on role; you'll be in the code, building alongside a small, high-ownership team. We're growing our ML infrastructure together, so you'll have real influence over how it's built, from the training pipeline through to the model that runs on it.
• We're looking for someone with real depth in production ML who's energised by variety, someone who treats an unfamiliar part of a problem as a chance to dig in, rather than needing to stay within one familiar slice of it. Priorities here shift as the business needs them to, moving across our reward-ranking, personalisation, and measurement work, and we want someone who finds that exciting, not distracting from their specialty.
• We are building the future of marketing by rewarding our community of over 70 million users for engaging with our advertisers’ products. We are offering a new way to acquire users for the biggest companies in the world. MACHINE LEARNING ENGINEER

Задачи

• Designing and shipping the models that decide which offers and rewards get shown to which users, in real time
• Translating the mathematical problems at the core of our business into concrete ML formulations
• Building the systems behind reward/payout structures, balancing user motivation, cost sustainability, and advertiser value
• Diagnosing underperforming reward campaigns and identifying the causes
• Applying statistical and causal methods (A/B testing, uplift, causal inference) to make sure what you ship actually works, not just looks good in a demo
• Partnering directly with the people setting business priorities
• you'll help shape what gets built, not just execute a spec
• 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)

Требования

• Genuinely hands-on production ML experience, particularly on non-standard problems
• you enjoy building and shipping models end to end
• Comfortable working across the full stack of a problem: from data pipeline to model to live serving
• Strong grounding in statistics (A/B testing, regression, probability) and, ideally, causal inference
• Genuine enthusiasm for building infrastructure alongside your team, not just using infrastructure that already exists
• A genuine problem-solver's mindset
• you're energised by tackling whatever the business needs next, and see moving across problems as a chance to learn rather than a distraction from your specialty
• Motivated as much by impact as by technical elegance
• happy to do the simple, high-leverage thing when that's what the business actually needs
• Our team has a track record of shipping ML that moves the business, not research for its own sake
• Almedia runs Freecash, a rewards platform with ~80 million users, profitable since day one and currently the #3 fastest-growing company in Europe
• We operate lean: a small data/ML org, a direct line from what you build to what the company earns, and plenty of room to shape our infrastructure as we grow it together
• If you like the idea of a fast feedback loop, build a model, test it, ship it, see the number move, all within weeks rather than quarters, this is that kind of team
• We're hiring across a range of seniority for this role, and welcome applications whether you're an experienced Senior engineer or ready for Staff or Principal-level scope

Будет плюсом

• Experience in adtech, gaming, gambling, or other high-scale personalisation/monetisation systems
• Familiarity with recommendation systems or ranking models specifically
• Familiarity with gaming/growth KPIs like pLTV, retention, and ROAS
• Any exposure to applying LLMs or agentic tooling to production ML workflows (not as your primary focus, but as evidence of a builder's curiosity)
• 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

Условия

• 130K – £230K • Offers Equity
• WHY ALMEDIA
• You can be based in either London or Berlin, and we support relocation and visa sponsorship for the right candidate

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