AIML Optimization Engineer

Site Name: Seattle Sixth Ave, Cambridge 300 Technology Square
Posted Date: Dec 10 2025

Onyx Research Data Tech organization is GSK's research data ecosystem that brings together, analyzes, and powers the exploration of data  partner with scientists across GSK to define and understand their challenges and develop tailored solutions that meet their needs, ensuring scientists have the right data and insights when they need it to accelerate medical discovery.

Onyx is a full‑stack shop that includes product and portfolio leadership, data engineering, infrastructure and Dev Ops, data/metadata/knowledge platforms, AI/ML and analysis platforms—all geared toward building a next‑generation, metadata‑driven data experience; providing best‑in‑class AI/ML and data analysis environments; and engineering our data at scale to unlock value in real time.

• Serve as a key engineer for the optimization team and contribute technical expertise to teams in closely aligned technical areas such as Dev Ops, Cloud, and Infrastructure.
• Accountable for delivery of scalable solutions to the Compute and AI/ML platforms that support the entire application lifecycle, with a focus on performance at scale.
• Partner with both AI/ML and Compute platform teams as well as scientific users to help optimize and scale scientific workflows using deep understanding of software and underlying infrastructure (networking, storage, GPU architecture).
• Participate in the scrum team and contribute technical expertise to teams in closely aligned technical areas.

• Bachelor's, Master's, or PhD degree in Computer Science, Software Engineering, or a related discipline.
• 1+ year industry experience in software engineering with AI/ML and MLOps.
• Experience using one interpreted and one compiled common industry programming language (e.g., Python, C/C++, Scala, Java), including tool chains for documentation, testing, and operations/observability.

• Experience with application performance tuning and optimization in parallel and distributed computing paradigms (e.g., MPI, OpenMP, Gloo).
• Expertise in modern software development tools and practices (e.g., Git/Git Hub, Dev Ops, metrics/monitoring).
• Cloud expertise (AWS, Google Cloud, Azure) and infrastructure‑as‑code tools (Terraform, Ansible, Packer) and scalable cloud compute technologies.
• Understanding of AI/ML training optimization and distributed multi‑node training best practices.
• Experience with machine learning model deployment strategies, including scalable inference systems in multi‑GPU, multi‑node environments.
• Experience with CI/CD implementations using Git and common CI/CD stacks (Azure Dev Ops, Cloud Build, Jenkins, Circle
  
  CI, Git Lab).
• Experience with Docker, Kubernetes, and the larger CNCF ecosystem, including Helm.
• Experience with low‑level build tools (make, CMake) and optimization at the build and compile level.
• Demonstrated excellence with agile software development environments using Jira and Confluence.

If you are based in Cambridge, MA;
Waltham, MA;
Rockville, MD; or San Francisco, CA, the annual base salary for new hires ranges from $88,275 to $147,125. The position also offers an annual bonus and eligibility to participate in a share‑based long‑term incentive program. Benefits include health care and other insurance (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave.

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information, military service, or any basis prohibited under federal, state, or local law.