Senior Machine Learning Engineer

At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of Machine Learning and AI. If that excites you, we'd love to chat. 

We're looking for an accomplished Senior Machine Learning Engineer to help us make this vision a reality. Competitive candidates will have a track record of shipping high performing AI/ML powered products in production environments. They are highly accomplished Machine Learning Engineers, with breadth across machine learning methods and depth in at least one area. Additionally, they are accomplished software engineers with a track record of shipping stable, tested, performant code and services in an agile environment. 

Strong candidates will have graduate studies in Computer Science, Applied Mathematics, or the equivalent (or in the life sciences with a focus on machine learning techniques) and 2 years of work experience. A senior engineer can consistently take a poorly defined problem and formulate clear objectives, then execute on it to build a high performing product or service. They are the model for the team in terms of code quality, standards, and best practices, and they act as mentors to junior members of the team. Educational or professional background in the biological sciences is a plus but is not necessary. 

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 Mathematics, 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. 
• Experienced in software engineering with advanced skills in python and/or C  
• Advanced level in PyTorch, TensorFlow, or other deep learning frameworks 
• Breadth across the ML stack, and depth in at least one discipline 
• Have shipped products powered by machine learning

Preferred Qualifications:

If you have the following characteristics, it would be a plus:

• PhD in Computer Science 
• Understanding and application of best practices in machine learning, software engineering, and/or production deployment of ML services 
• Track record of contributing to open source projects 
• Understanding of modern ML Architectures, Platforms, and backend systems 
• Mentality of commit early and often, metrics before models, and shipping high quality production code 

Why GSK?

Our values and expectations are at the heart of everything we do and form an important part of our culture.

These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities:

• Operating at pace and agile decision-making – using evidence and applying judgement to balance pace, rigour and risk.
• Committed to delivering high quality results, overcoming challenges, focusing on what matters, execution.
• Continuously looking for opportunities to learn, build skills and share learning.
• Sustaining energy and well-being
• Building strong relationships and collaboration, honest and open conversations.
• Budgeting and cost-consciousness

*LI-GSK

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