AI/ML Engineer, Production

Key Skills

Python Programming, C++, Machine learning techniques, Deep Learning, PyTorch, TensorFlow, AI technology

Job Description

We're looking for a highly skilled AI/ML Engineer to help us make this vision a reality as part of our AI/ML Production Engineering function. AI/ML Engineers in this role embed directly with our project teams on exciting, cutting-edge AI/ML work in the Pharma R&D space. They are expected to contribute to the team's output by training models, building data pipelines, and standing up services; but, they should be the strongest members of the team in software engineering, high-performance computing, and generally ensuring that our algorithms can train and operate at scale. They should solve the problem at hand, but always with an eye toward reusability -- both within their current project and across the AI/ML portfolio as a whole. This is a unique opportunity to sit in the increasingly-vital intersection between software engineering and AI/ML, learning from experts in each.

Competitive candidates will have a track record of writing quality, well-documented and well-tested code in the AI/ML space. They should be comfortable in Python, and able to implement a neural network training process in PyTorch or TensorFlow. They should feel comfortable with TensorFlow throwing underlying C++ errors, and have ideas on how to ferret out the source of a bottleneck in a training process.

The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to work. Our leaders will be committed to your career and development from day one.

Why you?

Basic Qualifications:

We are looking for professionals with these required skills to achieve our goals:

• Graduate studies in Computer Science or Applied Math, undergraduate studies in Computer Science and relevant graduate studies in the life sciences with a focus on AI/ML techniques, or undergraduate studies in Computer Science and equivalent work history. Candidates with graduate studies in CS and biological sciences or equivalent work history will be highly competitive. 
• Understanding and application of best practices in Machine Learning, software engineering, and production deployment of ML services
• Highly accomplished in software engineering with intermediate to advanced skills in python and strong experience in PyTorch, Tensorflow, or other deep learning frameworks
• Breadth across the ML stack, and experience dealing with computationally complex problems
• Understanding of modern ML Architectures, Platforms, and backend systems
• Mentality of commit early and often, metrics before models, and shipping high quality production code

Req ID: 267385