Senior Machine Learning Engineer

2 weeks 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 using Python and/or C++
  • Stay up-to-date with the latest advancements in machine learning and AI
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
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. Additionally, we provide a comprehensive benefits package, including health care and other insurance benefits, retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave.

We are an equal opportunities employer and welcome applications from all qualified candidates. If you are passionate about machine learning and AI, and want to make a meaningful impact in the field of oligonucleotide therapeutics, we encourage you to apply.



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