Services

AI & Math (PhD, Postdoctoral Preferable)

Level: Mid
Employment: 12 000 PLN – 19 000 PLN
Contract B2B: 16 000 PLN – 25 000 PLN
Place: Remote

Requirements: Artificial Intelligence, Machine Learning, Python, Creating AI architecture from the scratch

Nice to have: Applied mathematics, Academic achievements, Process automation, PhD in Applied Mathematics

Languages: Polish (B2), English (B2)

Responsibilities:
Implementing experiments, moving from the point of hypotheses through its validation to the place of the optimal solution
Searching for optimal solutions later transferred by the team to the application
Process automation

Offer description:
If you have exceptional mathematical skills  – you like to work out-of-the-box  – are you interested in AI? This is the place where we invite you to – an extremely interesting thread in molecular biology that we are developing!

Are you open to interesting challenges? with a bunch of subplots? – maybe you’re not sure if you can handle it yet – don’t worry – talk to us – and we’re looking for you – and you are looking for us 🙂

math workshop + creativity = outstanding results

If you have ingredients on the left side of the equation – and if you’re willing to contribute to your CTO’s larger thought vector – this position will give you the space to do so.

At Camino Science, we create our own AI product in the service of advanced molecular biology, in a creative and complementary team.

Our IT team has been operating for 2 years and received a national grant, including an investment pool. We cooperate with renowned universities. The visualization layer is one of the key elements of the whole.

If you would like to contribute and show creativity – you can be an integral part of it.

IMPORTANT! We care about a person who will have a heart for the project, will be creative, not a person who only cares about earning!

There are only 3 stages in the recruitment process and there is no coding task!
1. Online Interview (30 mins)
2. Technical Interview (via Google Meet, 90 mins)
3. Final Interview (via Google Meet, 60 mins)

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