ViiV (GSK) Machine Learning Engineer

We are a specialist pharmaceutical company fully dedicated to developing medicines to treat and prevent HIV. Born out of a partnership between GSK and Pfizer in 2009, with Shionogi joining in 2012, our ambition is to end the HIV epidemic.

As the pioneers in HIV innovation, we constantly look to push the boundaries of science to develop medicines that can change lives and give people more choice. Beyond our medicines, we are proud of our deep connection with the HIV community and work with partners to advance research and development, address HIV-related stigma, increase access to our medicines and provide funding and support to local community organisations to support their efforts in the HIV response.

We are ViiV Healthcare. Here until HIV and AIDS are not.

You will design, build, and deploy machine learning models and AI solutions at scale to accelerate the commercialization of our products. You will collaborate with data scientists, data engineers, product managers and marketing leads to translate real-world problems into clear ML solutions. You will drive measurable impact, grow your skills and help GSK unite science, technology and talent to get ahead of disease together.

Responsibilities

This role will focus on development and deployment of AI and ML solutions for the commercial organization at scale. The responsibilities for this role include :

• Develop and deploy machine learning models for commercial, scientific and operational problems.
• Design and implement scalable, production-ready AI and ML solutions
• Design and run experiments to measure the impact of models on key business metrics
• Collaborate with cross-functional teams to translate domain needs into clear technical requirements.
• Build reliable, tested, and maintainable code and services for model training and inference.
• Implement scalable data pipelines and ensure model data quality, versioning, and reproducibility.
• Monitor model performance in production and iterate to improve reliability and fairness.
• Contribute to team standards for ML engineering, testing, and documentation.

We are seeking candidates who want to make a real impact through applied machine learning. This is a hybrid-role based out of Durham, NC. We welcome applicants from different backgrounds and experiences who bring humility, collaboration, and a commitment to learning.

Why You?

Basic Qualifications

We are seeking professionals with the following required skills and qualifications to help us achieve our goals

Preferred Qualifications

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

#LI-ViiV

Please visit to learn more about the comprehensive benefits program ViiV offers US employees. All ViiV employees receive the same benefits options and plans as GSK employee.

Why Us?

At ViiV Healthcare, we will not rest until we leave no person living with HIV behind. Until the 40 million people living with HIV is down to zero, we will continue searching for new ways to limit the impact of HIV.

We are the only pharmaceutical company solely focused on combating, preventing, and ultimately eradicating HIV and AIDS. At ViiV Healthcare, we do things differently. Born out of a partnership between and in 2009, with joining in 2012, we are determined to help end the HIV epidemic. We are guided by our mission to leave no person living with HIV behind and it is this mission that unites our employees located across the globe. We combine expertise in research, manufacturing, policy and more to push the boundaries of what people think is possible in HIV treatment and care. As a result of our connection with GSK, we are able to draw on their proud history and resources. This means that you would receive all the employee benefits offered by GSK.

Living our mission of leaving no person living with HIV behind means keeping inclusion and diversity at the heart of everything we do - from our breakthrough innovation, to our diverse portfolio of medicines as well as the work we do to partner with HIV communities.

Having a truly inclusive culture where we’re all able to be ourselves and feel like we belong will make us an even stronger team, better able to perform as a business and deliver on our mission to leave no person living with HIV behind.