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AI/ML Engineer jobs in United States
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GSK · 11 months ago

AI/ML Engineer

GSK is a global biopharma company focused on uniting science, technology, and talent to combat disease. They are seeking a Senior AI/ML Engineer to develop advanced applications of machine learning and AI for drug development, particularly in the context of viral diseases.
BiotechnologyHealthcarePharmaceuticalHealth Care
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H1B Sponsor Likelynote

Responsibilities

Developing SOTA deep learning models for solving challenging real world scientific problems
Independently 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

Qualification

Deep Learning ModelsMachine Learning TechniquesPyTorchTensorFlowPythonC++DevOps StacksComputer ScienceApplied MathBiological SciencesStandard Deep Learning AlgorithmsCurrent Deep Learning LiteratureMachine Learning Best PracticesModel IntrospectionModel EvaluationDisease BiologyMolecular BiologyVirologyBiological DataGenomicsTranscriptomicsEpigenomicsProteomicsAI Conferences PublicationsCommercial AI/ML SoftwareOpen-source ContributionsProduction Code Quality

Required

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
Experienced in developing deep learning models
Scientist, machine learning engineer, and software engineer with expertise and depth in at least one area
Experience with standard deep learning algorithms and model architectures
Familiarity with current deep learning literature and math of machine learning
Knowledge in machine learning best practices, scalable training and deployment, model introspection and evaluation
Experience in PyTorch, Tensorflow, or other deep learning frameworks
Experienced/accomplished in software engineering with advanced skills in python and/or C++
Experience with devops stacks: version control, CI/CD, containerization, etc

Preferred

PhD in Machine Learning
Knowledge in disease biology, molecular biology and virology
Experience with biological data (e.g., genomics, transcriptomics, epigenomics, proteomics)
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

Benefits

Health care and other insurance benefits (for employee and family)
Retirement benefits
Paid holidays
Vacation
Paid caregiver/parental and medical leave

Company

We are uniting science, technology and talent to get ahead of disease together. Our community guidelines: https://gsk.to/socialmedia

H1B Sponsorship

GSK has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (45)
2024 (56)
2023 (54)
2022 (53)
2021 (54)
2020 (72)

Funding

Current Stage
Public Company
Total Funding
$25.51M
Key Investors
CARB-X
2021-03-02Grant· $18M
2020-09-23Grant· $7.51M
1978-01-13IPO

Leadership Team

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Luke Miels
Chief Executive Officer
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Julie Brown
CFO
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Company data provided by crunchbase