Staff Deep Learning Engineer
Location
Remote
Level
Senior
Department
Engineering
Type
Full - Time
Salary
Job Description
Posted on:
October 20, 2023
As a Gen AI/Deep Learning Engineer, you will work on DataRobot’s machine learning platform and actively contribute to the strategy, planning, and development of our Deep Learning and Generative product development, along with our other modeling capabilities.
We are looking for talented people with excellent engineering skills and deep knowledge of machine learning who can analyze problems, design unprecedented solutions, and implement them for real-world use on top of our platform. Our engineers are also depended upon to lift up everyone around them and contribute to the excellence of every engineer in the organization.
You will assist in our journey to be the best platform for extracting value from Deep Learning & Gen AI.
Responsibilities
- Write maintainable, testable, production-grade Python code
- Design and build products for end-users powered by machine learning and generative AI
- Integrate machine learning algorithms with other applications and servicesAutomate machine learning processes
Job Requirements
- Recommended background: 6-8 years of combined Python engineering and machine learning experience - with a focus on Deep Learning.
- Experience with deep learning libraries and frameworks (TensorFlow, Keras, PyTorch etc.)
- Experience writing maintainable, testable, production-grade Python code
- Understanding of different machine learning approaches and their tradeoffs
- 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)
- Competitive machine learning experience (e.g. Kaggle)
- Previous experience in deploying and maintaining machine learning models in production
