Reinforcement Learning Engineer

Ref: BH-15376-3 Posted 22 Aug
Ref: BH-15376-3 Posted 22 Aug
Australia, Melbourne
NZD150000 - NZD200000 per annum
Salary (NZD)
Permanent
Job type
Software Engineering
Specialisation
About the role

Reinforcement Learning Engineer 

Are you ready to be a part of an important r/evolution in the content economy? Join a dynamic startup that's reshaping the way we experience entertainment. With their HQ in Auckland, this small but powerful team is taking on a global challenge within the content infrastructure domain.


Why You'd Like It:

  • No bullsh*t politics to deal with
  • The scope to experiment
  • Work on complex scaling and optimisation challenges

The Opportunity:

You'll tackle complex combinatorial optimisation problems at scale. This is your chance to work with distributed and decentralised systems if you haven't done so already, pushing the boundaries of what's possible in live content distribution and rewards.


Company Profile:

A small tight-knit team working hard to disrupt an industry and unleash the true potential of the internet.

The Role:
  • Solve complex combinatorial optimisation problems involving reinforcement learning, linear programming or graph algorithms.
  • Work on distributed systems at scale, utilising technologies like Rust, AWS (ECS/K8s, Lambdas), TypeScript, and Python.
  • Contribute to the growth and capacity of the company's network as audience size increases.
The stack:
  • Rust, TypeScript, and Python. 
  • AWS (ECS/K8s, Lambdas)
  • Any other tool you see fit to get results!

Drop us your CV or reach out to elle@potentia.co.nz or sam@potentia.co.nz if you want find out more!

REF: 15376


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Australia, Melbourne
$150000 - $200000 per annum
Salary (NZD)
Permanent
Job type
Software Engineering
Industry
Meet the Consultant
Elle Schutte
Delivery Lead
+64210601829
elle@potentia.co.nz
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