Description
GSK is seeking a Software Engineer to join their AI for Science (AI4S) team. The successful candidate will design, build, and operate scalable cloud infrastructure and services that support AI models and agentic systems. They will be responsible for ensuring the reliability of these systems in production and working closely with ML engineers and domain experts to make the infrastructure fit for purpose.
Responsibilities:
- Design, build, and operate scalable infrastructure and services that support AI models and agentic systems across the entire software development life cycle.
- Own the reliability of what you build, setting up CI/CD and release processes, automated testing, monitoring, and alerting.
- Build and operate the model-serving infrastructure that exposes models in production with efficient use of compute.
- Develop and maintain cloud-native architectures that enable reliable deployment and scaling of AI/ML workloads.
- Deliver robust, tested, and high-performance code in an agile environment.
Qualifications & Skills:
- A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering).
- Demonstrated advanced programming expertise in Python and experience with frameworks like FastAPI.
- Experience with cloud platforms (GCP, Azure) and cloud-native architectures.
- Basic understanding of at least one major deep learning framework (PyTorch, JAX, TensorFlow).
- Knowledge of command-line tools and shell scripting.
- Strong problem-solving and debugging skills.
Benefits:
- Competitive salary range: $136,125 to $226,875 per year (dependent on location and experience).
- Annual bonus and eligibility to participate in share-based long-term incentive program.
- Comprehensive benefits package, including health care, retirement benefits, paid holidays, and vacation time.
Team Culture:
- The AI4S team values ownership, accountability, continuous development, and collaboration.
- Leaders are committed to career development and growth from day one.
- Applications from diverse and underrepresented backgrounds and perspectives are encouraged.