Site Name: USA - California - San Francisco
Posted Date: Nov 11 2019
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 machine learning and infrastructure experts that want to be part of a team that discovers new medicines. The role of Director, AI/ML Production Systems 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 Platform 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.
As Director, AI/ML Production Systems, we'd like you to be able to:
Design and own a modern, cloud-native production ecosystem for hosting model inference as well as other useful AI/ML tooling
Design and own systems for managing metadata about AI/ML problems and models, enabling tracking of progress as well as significant workflow automations in the AI/ML process
Stand up useful tools such as AutoML (e.g. Uber's Ludwig, autosklearn, ) and integrate them with metadata-driven training and production deployment workflows
Embed with AI/ML and data science project teams to provide deep expertise in software engineering, parallel computing, and big data tools
Work with partners in data platform, scientific computing, cloud, and similar teams to ensure the AI/ML org has the data, computing resources, and workflows/abstractions needed to do our best work.
We are looking for professionals with these required skills to achieve our goals:
Significant experience in professional software engineering and distributed computing, including experience with production use of machine learning
Advanced Degree (Pure Mathematics or Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Physics, Computational Biology, Computational Chemistry or related quantitative field)
Expert understanding of Python
Proficiency in C/C++
Significant experience with at least one Deep Learning framework such as TensorFlow, Keras, or PyTorch
Experience managing production infrastructure based on modern containerization and orchestration tech (e.g. Docker + Kubernetes + Helm)
Experience with the big data ecosystem, including tools like Spark and Kafka
Experience with CI/CD tooling, such as Jenkins or GitLab
Excellent written and verbal communication skills
Ability to work autonomously and collaboratively as part of a team to both teach and learn every day
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:
Agile and distributed decision-making using evidence and applying judgement to balance pace, rigour and risk
Managing individual and team performance.
Committed to delivering high quality results, overcoming challenges, focusing on what matters, execution.
Implementing change initiatives and leading change.
Sustaining energy and well-being, building resilience in teams.
Continuously looking for opportunities to learn, build skills and share learning both internally and externally.
Developing people and building a talent pipeline.
Translating strategy into action - a compelling narrative, motivating others, setting objectives and delegation.
Building strong relationships and collaboration, managing trusted stakeholder relationships internally and externally.
Budgeting and forecasting, commercial and financial acumen.
If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US).
GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class.
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