Staff AI/ML Engineer
- San Francisco, CA
Site Name: USA - California - San Francisco
Posted Date: Mar 23 2021
At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop transformational medicines using the power of genetics, functional genomics, and machine learning. AI will also play a role in how we diagnose and use medicines to enable everyone to do more feel better and live longer. It is an ambitious vision that will require the development of products at the cutting edge of Machine Learning and AI.
We're looking for a highly accomplished AI/ML 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, as well as 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 4+ years of work experience. They are fully versed in all modern ML techniques and expert level in at least one. Additionally, the staff engineer is the standard-bearer for best practices within their field and the entire organization. They will have a track record of mentorship and developing their peers, are known for conducting excellent code and model reviews, and are considered leaders in the organization. They have a track record taking ownership in all that they do. 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 Math, 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.
- Highly experienced/accomplished 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 several products powered by machine learning and can talk to each in depth
Preferred Qualifications: If you have the following characteristics, it would be a plus:
- PhD in computer science
- Deep understanding and application of best practices in Machine Learning, software engineering, and production deployment of ML services
- Track record of contributing to open source projects
- Understand 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:
- Agile and distributed decision-making - using evidence and applying judgement to balance pace, rigor 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.
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GSK is an Equal Opportunity Employer and, in the US, we adhere to Affirmative Action principles. This ensures that 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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