*Senior / Staff / Principal Machine Learning Engineer *

Recommender Systems
Remote - USA (You can be based anywhere across USA)
  
We’re partnered with a global giant who are a challenger to some of the major social media platforms and they are looking to add creative and self-driven Staff or Principal Machine Learning Engineers to work on various projects at a massive scale with users well above 300M. 

This is a unique opportunity to build a platform from the ground up (think Facebook in 2006).
  
To give you insight into the role, they currently support close to 300 million users on their platform who have come online in just the last few years and their vision for the product is to revolve around its algorithmically generated content feeds and ensuring users remain engaged and diverse as it grows on a massive scale.
  
From a team perspective, they operate in a free and experimental way, the major difference from their competitors is they allow staff & engineers complete freedom to conduct experiments by learning from both successes and failures to develop highly scalable and state-of-the-art algorithms that will be used by hundreds of millions of people globally.
  
We’re currently attracting subject matter experts from Facebook, Amazon, Apple & Spotify, and we’re keen to hear from candidates who’ve worked on similar projects scaling up large systems (all applications considered).
  
Person Skills
- Ph.D degree in Computer Science or related quantitative discipline
- Experience in training ML models with frameworks like Tensorflow, PyTorch, MXNet, Caffe, Torch etc.
- 5 years of experience working on large systems at massive scale 
- Excellent coding skills in at least one of Python, C/C++, Java, NodeJS, Go, Scala
- Experience with distributed systems, scalable data processing frameworks (e.g., Spark,Kafka) and noSQL systems (e.g., HBase, Cassandra) is a plus

On offer is an excellent package and, in most cases, we are beating current packages. For example, leading salaries, genuine share options in a company in hyper-growth mode, bonuses, health insurance, and more.

This company is an equal opportunity employer and value diversity. They do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

** If you're interested in this opportunity, please submit your CV via the link provided **

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