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Qocosystems

Algorithm Developer

  • Seen live on Qocosystems' site today
  • Mid level
Pay
Not stated
Location
Espoo, Finland
Open for
12+ days
First seen
Oct 23, 2026

Posting record

No flags

Open 12+ days

The posting's record, oldest first
  1. Qocosystems' 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 Qocosystems, so its true age is longer.

Last checked Nov 4, 2026.

How well do you match?

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What it asks of you

Master's degree asked for
“A Master's degree in computer science, applied mathematics, operations research or a related field, or one you're about to finish” (quoted from the posting)

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

We're hiring an Algorithm Engineer to join our crew at QOCO Systems!

Did you study both computer science and applied mathematics and find yourself wishing you didn't have to choose? Do you want your optimization work to end up in a product that real companies depend on every day, rather than in a report? Then we would love to hear from you.

At QOCO, we develop SaaS solutions that help global airlines and MROs (Maintenance, Repair and Operations) turn complex data into smooth operations and reduced aircraft downtime. One of those products is Assignment, a SaaS solution used for planning aircraft maintenance effectively. The solver is what drives that planning.

This role sits between the algorithms and the software. You'll support our algorithm engineer on the solver itself, and work with the development team to get that solver running properly inside a production environment. It's a genuinely rare combination, and it's the reason we're looking for someone with real depth on both sides.

What you'll be doing

  • Supporting our algorithm engineer on the development and improvement of our solver
  • Translating mathematical models and algorithms into working, maintainable code
  • Working with the development team to implement and integrate the solver into Assignment, our live SaaS product
  • Making optimization work reliably in production: performance, correctness, and behaviour under real customer data
  • Helping the team understand what the algorithms actually do, and helping the algorithm side understand what production requires

What we're looking for

  • A Master's degree in computer science, applied mathematics, operations research or a related field, or one you're about to finish
  • Genuine exposure to both computer science and applied mathematics during your studies. This combination is the core of the role
  • A solid grasp of mathematical optimization: linear and integer programming, constraint programming, combinatorial optimization, or scheduling and assignment problems
  • The ability to write real code, not just prototypes. You should be comfortable working in a proper codebase with other developers
  • Curiosity about the problem domain, and the patience to work on something complex
  • Fluent English, written and spoken

We're open to candidates coming straight out of their Master's. What matters more than years of experience is that the mathematics and the software are both genuinely yours.

Nice to have

  • Hands-on experience with a solver (for example OR-Tools, Gurobi, CPLEX or Local Search solvers)
  • Experience with production software or SaaS environments
  • Interest in aviation
  • Experience with Java as a software language

At QOCO, you'll enjoy

  • Real ownership and impact in your work, from early on
  • An experienced, collaborative and international engineering team
  • Working on a problem that is mathematically interesting and commercially real at the same time
  • Scale-up energy with global customers
  • Good performance recognized and rewarded
  • Flexible hours and a hybrid work model
  • Great benefits: lunch and sport perks, occupational healthcare, and free breakfast at the office

If you like the idea of taking an algorithm from a model on a whiteboard to something an airline actually runs on, we'd love to hear from you.

Join us and help shape the future of aviation.

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