GSK
Senior AIML Optimization Engineer
– GSK
Join to apply for the
Senior AIML Optimization Engineer
role at
GSK .
Site Name: Seattle Sixth Ave, Cambridge 300 Technology Square Posted Date: Dec 10 2025
About the Onyx Research Data Tech Organization The Onyx Research Data Tech organization is GSK’s research data ecosystem that brings together, analyzes, and powers the exploration of data at scale. We partner with scientists across GSK to define and understand their challenges and develop tailored solutions that meet their needs. Our goal is to ensure scientists have the right data and insights when they need them to give them a better starting point for and accelerate medical discovery, ultimately helping us get ahead of disease in more predictive and powerful ways.
Onyx is a full‑stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms. Our focus is on:
Building a next‑generation, metadata‑ and automation‑driven data experience for GSK’s scientists, engineers, and decision‑makers, increasing productivity and reducing time spent on “data mechanics”.
Providing best‑in‑class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top‑tier talent.
Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real‑time.
Team Focus The AIML & Scientific Computing Optimization team is focused on optimizing first‑in‑class compute and AIML platforms that accelerate application development, scale up computational experiments, and integrate all computation with project metadata, logs, experiment configuration and performance tracking. The platform is metadata‑forward and CI/CD‑driven, covering interactive development (notebooks), large‑scale batch processing, observability and production application deployments.
Key Responsibilities
Serve as a key engineer for the optimization team and contribute technical expertise to closely aligned technical areas such as DevOps, Cloud, and Infrastructure.
Lead design of major optimization software components of the compute and AIML platforms; contribute to development of production code and participate in design reviews and PR reviews.
Be accountable for delivery of scalable solutions that support the entire application lifecycle, with particular focus on performance at scale.
Partner with AIML and compute platform teams and scientific users to optimize and scale scientific workflows by leveraging deep understanding of software and underlying infrastructure (networking, storage, GPU architectures, etc.).
Participate or lead scrum teams and contribute technical expertise to closely aligned teams.
Design innovative strategies and ways of working to create a better environment for end users and construct a coordinated, stepwise plan to bring others along with the change curve.
Act as the standard bearer for proper ways of working and engineering discipline, including CI/CD best practices, and proactively spearhead improvements within the engineering area.
Basic Qualifications
Bachelor’s, Master’s or PhD degree in Computer Science, Software Engineering, or related discipline.
6+ years of experience with a Bachelor’s, 4+ years with a Master’s, and 2+ years with a Ph.D. using specialized knowledge in cloud computing, scalable parallel computing paradigms, software engineering, and CI/CD.
2+ years of experience in AIML engineering, including large‑scale model training and production deployment.
Preferred Qualifications
Deep experience using at least one interpreted and one compiled common industry programming language (e.g., Python, C/C++, Scala, Java) including toolchains for documentation, testing, and operations/observability.
Deep experience with application performance tuning and optimization, including in parallel and distributed computing paradigms and communication libraries such as MPI, OpenMP, Gloo, and a deep understanding of underlying systems (hardware, networks, storage).
Deep expertise in modern software development tools and ways of working (e.g., git/GitHub, DevOps tools, metrics/monitoring).
Deep cloud expertise (e.g., AWS, Google Cloud, Azure), including infrastructure‑as‑code tools (Terraform, Ansible, Packer, etc.) and scalable cloud compute technologies such as Google Batch and Vertex AI.
Expert understanding of AIML training optimization, including distributed multi‑node training best practices and associated tools and libraries, and hands‑on practical experience accelerating training jobs.
Understanding of ML model deployment strategies, including agent systems and scalable LLM model inference systems deployed in multi‑GPU, multi‑node environments.
Experience with CI/CD implementations using git and a common CI/CD stack (e.g., Azure DevOps, CloudBuild, Jenkins, CircleCI, GitLab).
Experience with Docker, Kubernetes, and the larger CNCF ecosystem, including experience with application deployment tools such as Helm.
Experience with low‑level application build tools (make, CMake) and understanding of optimization at the build and compile level.
Demonstrated excellence with agile software development environments using tools like Jira and Confluence.
Salary and Benefits If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $136,950 to $228,250. The U.S. salary ranges consider location, candidate’s skills, experience, and education level. This position offers an annual bonus and eligibility to participate in our share‑based long‑term incentive program. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. For additional compensation details, please visit the GSK US Benefits Summary.
Why GSK? Uniting science, technology and talent to get ahead of disease together.
GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.
We’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of ambition for patients, accountability for impact, and doing the right thing is the foundation for how we deliver for patients, shareholders, and our people.
Adjustments and Accessibility Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities, contact us at
HR.AmericasSC-CS@gsk.com . This is the only channel for request of adjustments; other inquiries will not be supported. For further information, see our Recruitment FAQ at https://www.gsk.com/en-gb/careers/how-we-hire/frequently-asked-questions/.
Equal Opportunity Employer 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 (including family medical history), military service or any basis prohibited under federal, state or local law.
Important Notice to Employment Businesses / Agencies GSK does not accept referrals from employment businesses and/or employment agencies for the vacancies posted on this site. All employment businesses/agencies must contact GSK’s commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement between the employment business/agency and GSK. In the absence of such written authorization, any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from actions taken without written authorization. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov.
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– GSK
Join to apply for the
Senior AIML Optimization Engineer
role at
GSK .
Site Name: Seattle Sixth Ave, Cambridge 300 Technology Square Posted Date: Dec 10 2025
About the Onyx Research Data Tech Organization The Onyx Research Data Tech organization is GSK’s research data ecosystem that brings together, analyzes, and powers the exploration of data at scale. We partner with scientists across GSK to define and understand their challenges and develop tailored solutions that meet their needs. Our goal is to ensure scientists have the right data and insights when they need them to give them a better starting point for and accelerate medical discovery, ultimately helping us get ahead of disease in more predictive and powerful ways.
Onyx is a full‑stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms. Our focus is on:
Building a next‑generation, metadata‑ and automation‑driven data experience for GSK’s scientists, engineers, and decision‑makers, increasing productivity and reducing time spent on “data mechanics”.
Providing best‑in‑class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top‑tier talent.
Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real‑time.
Team Focus The AIML & Scientific Computing Optimization team is focused on optimizing first‑in‑class compute and AIML platforms that accelerate application development, scale up computational experiments, and integrate all computation with project metadata, logs, experiment configuration and performance tracking. The platform is metadata‑forward and CI/CD‑driven, covering interactive development (notebooks), large‑scale batch processing, observability and production application deployments.
Key Responsibilities
Serve as a key engineer for the optimization team and contribute technical expertise to closely aligned technical areas such as DevOps, Cloud, and Infrastructure.
Lead design of major optimization software components of the compute and AIML platforms; contribute to development of production code and participate in design reviews and PR reviews.
Be accountable for delivery of scalable solutions that support the entire application lifecycle, with particular focus on performance at scale.
Partner with AIML and compute platform teams and scientific users to optimize and scale scientific workflows by leveraging deep understanding of software and underlying infrastructure (networking, storage, GPU architectures, etc.).
Participate or lead scrum teams and contribute technical expertise to closely aligned teams.
Design innovative strategies and ways of working to create a better environment for end users and construct a coordinated, stepwise plan to bring others along with the change curve.
Act as the standard bearer for proper ways of working and engineering discipline, including CI/CD best practices, and proactively spearhead improvements within the engineering area.
Basic Qualifications
Bachelor’s, Master’s or PhD degree in Computer Science, Software Engineering, or related discipline.
6+ years of experience with a Bachelor’s, 4+ years with a Master’s, and 2+ years with a Ph.D. using specialized knowledge in cloud computing, scalable parallel computing paradigms, software engineering, and CI/CD.
2+ years of experience in AIML engineering, including large‑scale model training and production deployment.
Preferred Qualifications
Deep experience using at least one interpreted and one compiled common industry programming language (e.g., Python, C/C++, Scala, Java) including toolchains for documentation, testing, and operations/observability.
Deep experience with application performance tuning and optimization, including in parallel and distributed computing paradigms and communication libraries such as MPI, OpenMP, Gloo, and a deep understanding of underlying systems (hardware, networks, storage).
Deep expertise in modern software development tools and ways of working (e.g., git/GitHub, DevOps tools, metrics/monitoring).
Deep cloud expertise (e.g., AWS, Google Cloud, Azure), including infrastructure‑as‑code tools (Terraform, Ansible, Packer, etc.) and scalable cloud compute technologies such as Google Batch and Vertex AI.
Expert understanding of AIML training optimization, including distributed multi‑node training best practices and associated tools and libraries, and hands‑on practical experience accelerating training jobs.
Understanding of ML model deployment strategies, including agent systems and scalable LLM model inference systems deployed in multi‑GPU, multi‑node environments.
Experience with CI/CD implementations using git and a common CI/CD stack (e.g., Azure DevOps, CloudBuild, Jenkins, CircleCI, GitLab).
Experience with Docker, Kubernetes, and the larger CNCF ecosystem, including experience with application deployment tools such as Helm.
Experience with low‑level application build tools (make, CMake) and understanding of optimization at the build and compile level.
Demonstrated excellence with agile software development environments using tools like Jira and Confluence.
Salary and Benefits If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $136,950 to $228,250. The U.S. salary ranges consider location, candidate’s skills, experience, and education level. This position offers an annual bonus and eligibility to participate in our share‑based long‑term incentive program. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. For additional compensation details, please visit the GSK US Benefits Summary.
Why GSK? Uniting science, technology and talent to get ahead of disease together.
GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.
We’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of ambition for patients, accountability for impact, and doing the right thing is the foundation for how we deliver for patients, shareholders, and our people.
Adjustments and Accessibility Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities, contact us at
HR.AmericasSC-CS@gsk.com . This is the only channel for request of adjustments; other inquiries will not be supported. For further information, see our Recruitment FAQ at https://www.gsk.com/en-gb/careers/how-we-hire/frequently-asked-questions/.
Equal Opportunity Employer 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 (including family medical history), military service or any basis prohibited under federal, state or local law.
Important Notice to Employment Businesses / Agencies GSK does not accept referrals from employment businesses and/or employment agencies for the vacancies posted on this site. All employment businesses/agencies must contact GSK’s commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement between the employment business/agency and GSK. In the absence of such written authorization, any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from actions taken without written authorization. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov.
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