Senior Machine Learning Engineer, Pipelines (вакансія неактивна)

As a Machine Learning Engineer in DataRobot, you will work on our machine learning platform and actively contribute to the automation of data science best practices and the development of our state-of-the-art preprocessing, modeling and reporting capabilities.

We are looking for talented people with excellent engineering skills and deep knowledge of Machine Learning who can analyze problems, develop innovative generalized solutions, and implement them for real-world use on top of our platform.

DataRobot is based around delivering best-in-class data science solutions and this position provides the opportunity to build key data science components of our system.

Responsibilities:
Design and build next-generation machine learning frameworks
Build interfaces that make it easy to write good data-science code and hard to take dangerous shortcuts
Integrate machine learning algorithms with other applications and services

Main Requirements:
Recommended background: 5+ years of combined Python engineering and machine learning experience
Experience writing maintainable, testable, production-grade Python code
Understanding of different machine learning algorithm families and their tradeoffs (linear, tree-based, kernel-based, neural networks, unsupervised algorithms, etc.)
Good command of scientific Python toolkit (numpy, scipy, pandas, scikit-learn)
Understanding of time, RAM, and I/O scalability aspects of data science applications (e.g. CPU and GPU acceleration, operations on sparse arrays, model serialization and caching)
Software design and peer code review skills
Experience with automated testing and test-driven development in Python
Experience with Git + GitHub
Comfortable with Linux-based operating systems

Desired Skills:
Experience with large-scale machine learning (100GB+ datasets)
Experience with deep learning libraries and frameworks (TensorFlow, Keras, PyTorch etc.)
Competitive machine learning experience (e.g. Kaggle)
Previous experience of deploying and maintaining machine learning models in production

Homey and well-designed office. No corporate nonsense.
Lunch and dinner catered every day. You have no idea how much this helps.
Health insurance
Private English classes with native speakers
Gym membership
Travel to the US
Board games, books, music instruments, yoga. We have fun along with hard work.
Corporate team-building and activities. We socialize. A lot.