Skip to content
Esc
Internships in Canada
New-grad roles in Canada
Remote roles
Roles that show pay
Postings at high ghost risk
PayWhat student tech roles in Canada pay
Check a linkPaste a posting to see its real age and ghost risk
JobsEvery open tech role
CompaniesWho fills fastest, who leaves postings up
Hiring calendarWhen employers open intern and new-grad roles
Skills gapWhat postings ask for that you don't have
Your resumeScore and fixes
Your matchesOpen roles ranked by your resume
ApplicationsSaved, applied, interviewing, offers
SettingsTheme, text size, motion
How it works

↑ ↓ to move, Enter to open? every shortcut

Keyboard shortcuts

CtrlKor/
Search employers, postings and pages
JorK
Next or previous posting in a list
O
Open the posting's page
Enter
Open it in the preview, on wide screens
S
Save or unsave it
?
This list
Esc
Close
Almedia

Staff Machine Learning Engineer

  • Seen live on Almedia's site today
  • Senior
Pay
Not stated
Location
London
Open for
12+ days
First seen
Oct 23, 2026
Apply on Almedia's site (opens in a new tab)

Posting record

No flags

Open 12+ days

The posting's record, oldest first
  1. Almedia's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Almedia, so its true age is longer.

Last checked Nov 4, 2026.

How well do you match?

See how much of this posting your resume shows, and what it's missing.

Upload your resume

What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

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.

Something wrong with this posting?