Senior Software Engineer, Ai/ml Production

3+ months agoPhiladelphia, PA

Site Name: USA - California - San Francisco, USA - Massachusetts - Cambridge, USA - Pennsylvania - Philadelphia
Posted Date: Oct 7 2021

At GlaxoSmithKline we have created a world-leading data and computational environment to enable large scale scientific experiments that exploit GSK's unique access to data. Our focus is on bringing data, analytics & science together into solutions for our scientists to develop medicines for patients.

We are seeking to grow our team with brilliant and diverse contributors with technical ability. We are looking for experienced software engineers that want to be part of a team that discovers new medicines. The role of AI/ML Production Engineer is an exciting opportunity that will stretch your knowledge and curiosity, offering the opportunity to learn new skills and work within a global community.

This is a hands-on position where you will be empowered to be creative, ambitious and bold. Our mission on the AI/ML Production Engineering team is to provide deep computing expertise, automated workflows, production-grade infrastructure, and helpful tooling to enable the AI/ML team and our partners to solve cutting-edge research problems in the pharma space and translate their solutions into direct impact on the business and on patients. Production Engineer function embeds directly with AI/ML drug discovery project teams doing cutting-edge work, serving as the voice of expertise in software engineering, scientific computing at scale, and expert problem-solving.

This role will provide YOU the opportunity to lead key activities to progress YOUR career.

  • Embed with AI/ML and data science project teams to provide deep expertise in software engineering, parallel computing, and big data tools.
  • Drive and teach standards for code, tool use, engineering best practices, etc.
  • Help to guide the AI/ML Embedded Engineering team's efforts based on first-hand experience on projects, design, and drive implementation of new tools that improve scientific projects performance and productionization .
  • Introduce new third-party tools that facilitate software development and machine learning to a team composed of scientists, researchers, data scientists and software engineers and help drive their adoption.
Basic Qualifications

We are looking for professionals with these required skills to achieve our goals:
  • Significant experience with professional software development practices such as code standards, code reviews, source control best practices, etc.
  • Expert understanding of Python
  • Experience with some big data and orchestration tools: Spark, Celery, Kafka, Airflow
  • Experience with high performance computing infrastructure
  • Debugging and error handling intuitions at all levels: ML frameworks, Python and OS.
  • Interest in optimizing and profiling code.
  • Fluency in at least one mainstream IDE ( e.g. VSCode / PyCharm)
  • Advanced Degree (Pure Mathematics or Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Physics, Computational Biology, Computational Chemistry or related quantitative field)
Preferred Qualifications

If you have the following characteristics, it would be a plus:
  • Experience with at least one Deep Learning framework such as TensorFlow, Keras , or PyTorch , including parallelism
  • Exposure to job scheduling systems such as Slurm , YARN, or Kubernetes
  • Interest in drug discovery problems
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


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Job ID: glaxo-266032-en-us-2