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Senior AIML Platform Engineer

GSK

San Francisco (CA)

On-site

USD 149,000 - 249,000

Full time

25 days ago

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Job summary

A leading company seeks a Senior AI/ML Platform Engineer to build cutting-edge AI and Machine Learning products. The role involves engineering the AIML platform, leading software development, and promoting best practices in a collaborative environment. Ideal candidates will have extensive experience in software engineering and AIML, with a strong focus on Python and cloud technologies. Join us to contribute to transformative medicines and enhance patient care.

Benefits

Bonuses
Benefits
Long-term incentives

Qualifications

  • 6+ years of software engineering experience with a Bachelor’s.
  • At least 2 years in AIML engineering, including large-scale model training.

Responsibilities

  • Serve as a key engineer for the AIML platform, contributing expertise.
  • Lead design and development of major software components using Python.
  • Promote best practices in CI/CD and engineering discipline.

Skills

Python
MLOps
DevOps
Cloud

Education

Bachelor’s in Computer Science
Master’s in Software Engineering
PhD in related field

Tools

AWS
Google Cloud
Azure
PyTorch
TensorFlow

Job description

Join to apply for the Senior AIML Platform Engineer role at GSK

About the Onyx Research Data Tech Organization

The Onyx Research Data Tech organization is GSK’s research data ecosystem, bringing together, analyzing, and powering data exploration at scale. We collaborate with scientists to define challenges and develop tailored solutions, ensuring they have the right data and insights to accelerate medical discovery and stay ahead of diseases.

Onyx is a full-stack team comprising product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms. Our goals include:

  1. Building a next-generation, metadata- and automation-driven data experience to increase productivity and reduce data mechanics time.
  2. Providing top-tier AI/ML and data analysis environments to enhance predictive capabilities and attract talent.
  3. Engineering our data at scale to unlock value in real-time.
Our Vision for AI and Machine Learning

We envision a world where AI enables the development of transformational medicines, improves diagnostics, and enhances patient care. To realize this vision, we seek a highly skilled Senior AI/ML Platform Engineer to help build cutting-edge AI and Machine Learning products.

Team and Culture

Our AI/ML Platform Engineering team develops tools and services covering MLOps/DevOps across Cloud and HPC, aiming to reduce development time and improve engineering quality. We emphasize ownership, accountability, continuous learning, and collaboration, supporting your career growth with dedicated personal development time.

Key Responsibilities
  • Serve as a key engineer for the AIML platform, contributing expertise in GenAI, DevOps, Compute, and Cloud.
  • Lead design and development of major software components using Python, participate in design and PR reviews.
  • Ensure usability, reproducibility, and performance of AIML platform components at scale.
  • Integrate with DataOps and Data Engineering products for optimal ML training performance.
  • Lead or participate in scrum teams, providing technical guidance.
  • Innovate strategies to improve end-user environments.
  • Promote best practices in CI/CD and engineering discipline, contributing to continuous improvement.
Qualifications
Basic
  • Bachelor’s, Master’s, or PhD in Computer Science, Software Engineering, or related field.
  • 6+ years of software engineering experience with a Bachelor’s.
  • 4+ years with a Master’s.
  • 2+ years with a PhD.
  • At least 2 years in AIML engineering, including large-scale model training and deployment.
Preferred
  • Expertise in Python, cloud platforms (AWS, Google Cloud, Azure), ML frameworks (PyTorch, TensorFlow), and MLOps tools.
  • Experience with HPC, containerization, orchestration, and performance optimization for large models.
  • Proficiency with CI/CD, ML workflows, and open-source community engagement.
Additional Information

Salary ranges from $149,325 to $248,875, plus bonuses, benefits, and long-term incentives. GSK is committed to diversity and inclusion, offering accommodations for applicants as needed.

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