WGames, is a well-funded, social gaming company based in the heart of downtown Toronto. We develop high-end mobile games that will be distributed globally. We are seeking an experienced, talented Backend Engineers. Our main product is next generation social casino mobile application with deep personalization.
From my intuitive understanding (not an expert), very abstract description how it works in general:
- you have real world problem -> task which you need to solve
- you build model (algorithm, math method & etc) which should solve the task
- you need to find optimum of the complex function (error function)
Third step is usually finding optimum of the function. Deep neural networks help you to move complexity from step 2 to step 3. One example you mentioned, when feature engineering is moved from 2 -> 3. So you can use simpler methods on step2 to solve same problems, or extend problems area which you can solve with the same complexity on step2.
WGames | ONSITE | VISA | Backend Engineer (Elixir) - Toronto, FullTime
WGames, is a well-funded, social gaming company based in the heart of downtown Toronto. We develop high-end mobile games that will be distributed globally. We are seeking an experienced, talented Backend Engineers. Our main product is next generation social casino mobile application with deep personalization.
Tech Stack: Elixir, AWS + GCP, CI/CD, Terraform, Datadog, Elasticsearch, Dataflow
Apply for Golang at https://wgames.bamboohr.com/jobs/view.php?id=67 for Elixir at https://wgames.bamboohr.com/jobs/view.php?id=57