Senior Machine Learning Engineer

1 week ago


San Francisco, California, United States GlaxoSmithKline Full time
About the Role

We are seeking a highly accomplished Senior Machine Learning Engineer to join our team at GlaxoSmithKline. As a key member of our oligonucleotide therapeutics team, you will be responsible for building and deploying machine learning models to accelerate the development of novel therapies.

Key Responsibilities
  • Design and develop machine learning models to analyze genomic and RNA data
  • Collaborate with cross-functional teams to integrate machine learning solutions into our product pipeline
  • Develop and maintain high-quality software code and services in an agile environment
  • Contribute to the development of best practices in machine learning and software engineering
Requirements
  • 2+ years of industry experience in machine learning engineering
  • Graduate studies in Computer Science, Applied Mathematics, or Life Sciences with a focus on AI/ML techniques
  • Experience in software engineering with advanced skills in Python and/or C++
  • Experience with ML stack, and depth in at least one discipline
Preferred Qualifications
  • PhD in Computer Science or equivalent Life Sciences with Machine Learning focus
  • Demonstrated success shipping products powered by machine learning
  • Academic or industry experience in the biomedical sciences especially genetics, molecular biology, or AI driven drug discovery
  • Understanding and application of best practices in machine learning, software engineering, and/or production deployment of ML services
What We Offer

We offer a competitive annual base salary, an annual bonus, and eligibility to participate in our share-based long-term incentive program. Our benefits package includes health care and other insurance benefits, retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave.

About GlaxoSmithKline

GlaxoSmithKline is a global biopharma company with a special purpose – to unite science, technology, and talent to get ahead of disease together. 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).



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