Machine Learning Engineer

We are looking for a Machine Learning Engineer
to join our R&D team

Description

As a ML Engineer at MorphL you will design and build machine learning systems that process large-scale content. In addition, you are going to build and optimize systems, tools, and validation strategies to support new machine learning applications.

You must have a proven history of driving critical research and development and developing in-depth analytical understanding of systems. You will also mentor and coach talented scientists within the team. You will be a key leader in defining and executing new ML initiatives.

The ability to influence your peers and leadership will enable others to adopt your vision. As a ML Engineer at MorphL, you will serve as a thought leader and collaborate with other ML experts throught the world.

We are looking for a colleague that can challenge us, define new solutions and see them through to implementation: understand how your technical solutions contribute to realizing a broader vision, and you have a passion for interacting with many different people to achieve a goal.

Other details

Mid-Senior level

Bucharest based

Great startup culture

Qualifications

  • B.S./M.S./Ph.D. degree in Computer Science or related engineering fields.
  • Experience with Machine Learning, statistical inference or similar. Building software products based on predictive models is your game. You have knowledge about random forests, logistic regression, deep neural networks, cross validation, naive bayes, feature extraction, overfitting, structured prediction, etc.
  • Strong programming skills. Hands-on machine learning experience with Python and toolkits like PyTorch or TensorFlow.
  • Experience with data processing infrastructure such as Spark, Hadoop, Cassandra, SQL, Amazon Web Services and/or Google Cloud Platform is a plus.
  • Experience with Deep Learning and associated frameworks is a plus.

Tech Stack

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Jobs at MorphL

We're excited to hear from you and you should know that our application process is a bit different - you'll need to make an inference about the correct e-mail address to send your resume/CV.



This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 779790.