Director/Staff AI/ML Engineer (m/f/d)

仕事内容

Site Name: Heidelberg - Office

Posted Date: Aug 17 2021

Director/Staff AI/ML Engineer

At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of Machine Learning and AI. If that excites you, we’d love to chat.

We’re looking for a Director/Staff AI/ML Engineer to help us make this vision a reality. Competitive candidates will have a track record in developing SOTA deep learning models for solving challenging real world scientific problems. They should be an outstanding scientist with in-depth knowledge in modern machine learning.

They can convert vaguely described biological/drug development challenges into well-defined machine learning problem. They can independently as well as leading a team of engineers to plan, execute and deliver full AI/ML driven solution from sourcing training data, design and implementing SOTA machine learning models, testing, benchmark and product driven research for model performance improvement, to shipping stable, tested, performant code and services in an agile environment.

Educational or professional background in the biological and medical 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.

Basic Qualifications

We are looking for professionals with these required skills to achieve our goals:

• PhD in quantitative or engineering discipline (computer science, computational biology, bioinformatics, engineering, among others); OR equivalent additional work experience delivering state-of-the-art AI/ML solutions.
• 5+ years of experience in AI/ML engineering with an established track record of successful delivery of state-of-the-art AI/ML solutions.
• An outstanding scientist, machine learning engineer, and software engineer. Demonstrate expertise and depth in at least one area and breadth across your expertise.
• Proficiency with standard deep learning algorithms and model architectures
• Familiarity with current deep learning literature and math of machine learning
• In depth knowledge in machine learning best practices, scalable training and deployment, model introspection and evaluation
• Advanced level in PyTorch, Tensorflow, or other deep learning frameworks
• Highly experienced/accomplished in software engineering with advanced skills in python and/or C++
• Experience with devop stacks: version control, CI/CD, containerization, etc.
• Proven ability to mentor, coach, and lead colleagues
• Previous line management experience is a plus but not required for applying this position
  

Preferred Qualifications

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

• PhD in Machine Learning
• Peer reviewed publications in major AI conferences
• Experience in design, development and deployment of commercial AI/ML software.
• Track record of contributing to open source projects
• Mentality of commit early and often, metrics before models, and shipping high quality production code
• Knowledge in disease biology, molecular biology and biochemistry
• Experience with biological data (e.g., genomics, transcriptomics, epigenomics, proteomics, etc.), clinical data (e.g., electronic health records, clinical images)
  

Why GSK?

Our values and expectations are at the heart of everything we do and form an important part of our culture.

As GSK Focuses On Our Values And Expectations And a Culture Of Innovation, Performance, And Trust, The Successful Candidate Will Demonstrate The Following Capabilities

These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork.

• 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.
  

#GSKAIML2021

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