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GlaxoSmithKline

AI/ML Services - Software Engineer

GlaxoSmithKline, San Francisco, California, United States, 94199


Site Name:

Seattle Sixth Ave, San FranciscoPosted Date:

Oct 4 2024At 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 diagnosing and using medicines to enable everyone to do more, feel better, and live longer. This ambitious vision will require developing products at the cutting edge of Machine Learning and AI.We’re seeking a highly skilled software engineer to help us realize this vision. We are building a first-in-class platform with tools and services covering high performance computing, model training and deployment, metrics calculation and metadata instrumentation; our goal is to decrease AI/ML cycle times and raise the quality bar on our shipped services by simplifying platform integration and accelerating R&D end-to-end.Competitive candidates will have a track record of designing, building and shipping high-quality, well-documented and well-tested software – preferably in the AI/ML industry. They should be comfortable with modern, cloud-native computing such as the Docker/Kubernetes/Helm ecosystem, distributed systems, or high-performance computing environments. Candidates should have a strong sense of the abstractions needed to represent ML products and workflows and have demonstrated experience in database design, operations, and microservice development. Strong candidates will have graduate studies in Computer Science, or equivalent demonstrated work experience. An educational or professional background in the biological sciences is a plus, but it is not required.The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term and are motivated to make this a great workplace. 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:Bachelor’s or graduate degree in Computer Science, preferably focused on software engineering, high-performance computing, or machine learning. Candidates not meeting these academic requirements will be considered if demonstrating 8+ years of industry experience in software/machine learning engineering.2+ years of industry experience in software design or architecture.Experience in Python and in deploying APIs/backend services.Experience developing services and infrastructure on GCP. Similar cloud software development.Experience working with Docker and Kubernetes, or closely related containerization and cluster computing frameworks.Preferred Qualifications:

If you have the following characteristics, it would be a plus:Our team is heavily invested in event-based orchestration for multi-tenant use. Software development experience on these platforms, distributed data systems, or similar systems will be strongly preferred.We partner with Platform and Infra teams, and machine learning product teams. Collaboration and a customer-first mindset are critically important; we will prioritize candidates who shine in those areas.Experience in DevOps and machine learning orchestration (using TensorFlow, Pytorch or similar) will have an added advantage.Experience on Search and Ranking, Knowledge Graphs, Feature Stores, or other AI/ML products will be highly preferred.Experience upholding software/production best practices in a larger org is strongly preferred.Preferred candidates will be agile-minded and demonstrate proficiency in iterative software development and prototyping.The annual base salary for new hires in this position ranges from $130,900 to $177,100 taking into account a number of factors including work location within the US market, the candidate’s skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave.Please visit

GSK US Benefits Summary

to learn more about the comprehensive benefits program GSK offers US employees.Why GSK?Uniting science, technology and talent to get ahead of disease together.GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.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 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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