Staff / Principal Machine Learning Engineer

United States - Remote
Full Time / Permanent
  
We’re partnered with a $120m series A VC backed US start-up who are harnessing powerful AI to help content marketers produce SEO ranking copy in 25 languages to enterprise level clients including IBM, Airbnb, Hubspot and HarperCollins and Intel to name a few.
  
They are looking to add creative and self-driven Staff and Principal Machine Learning Engineers to their growing tech team as they look to build out their ML infrastructure used by 50,000 paying customers from start and scale ups to international enterprise businesses.
  
To give insight into the role, you will have full ownership of developing state of the art ML infrastructure at scale by harnessing the latest ML technologies and guiding the team as they produce ultra high quality code, all the while constantly proposing novel ways to evolve the ML infrastructure. You will design and own the development of state of the art ML pipeline to train and deploy models at scale and champion the evolution of the road map for ML infrastructure.
  
We are looking to speak with candidates who have experience building ML and pipeline architecture in Python at scale, strong working background in NLP and associated frameworks: TensorFlow, PyTorch, Keras.
  
To be successful in this role you will need to have a proven track record in building CI/CD pipeline to train and deploy models to massive scale and strong knowledge of ML frameworks such as TensorFlow, PyTorch, Keras.
  
In Return you can expect a generous above market rate salary, full healthcare, including vision and dental. This is a fully remote role with a generous home office budget, paid parental leave and you will receive a Learning and Development Budget to use as you see fit.
  
Only US citizens & Green Card Holders will be considered for these roles.
  
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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