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AIML Services- Data Platform Engineer

GlaxoSmithKline

Seattle, WA

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JOB DETAILS
JOB TYPE
Full-time, Employee
SKILLS
Affirmative Action, Application Programming Interface (API), Artificial Intelligence (AI), Best Practices, Career Development, Cloud Computing, Coaching, Code Reviews, Computer Science, Consulting, Continuous Deployment/Delivery, Continuous Integration, Cross-Functional, Database Extract Transform and Load (ETL), DevOps, Disease, Disease Prevention and Control, Docker, Emerging Technology, Engineering Software, Expense Reports, GCP (Good Clinical Practices), Genetics, Genomics, Git, GraphQL, HIV/AIDS (Acquired Immune Deficiency Syndrome), Healthcare, Human Resources, Identify Issues, Infectious Diseases, Infrastructure as a Service (IaaS), Jenkins, Leadership, Machine Learning, Machining Operations, Medical Products, Mentoring, Messaging Middleware, Metrics, Microsoft Windows Azure, Military, Open Source, Operational Support, Product Development, Protocol Design, Purchasing/Procurement, REST (Representational State Transfer), Requirements Management, Software Development, Software Engineering, Software Prototyping, State Laws and Regulations, System Integration (SI), Technical Leadership, Technical Writing, Test Automation, Test Suite, Trend Analysis, Vaccination
LOCATION
Seattle, WA
POSTED
30+ days ago
Site Name: South San Francisco 611 Gateway Blvd, Cambridge 300 Technology Square, Seattle Sixth Ave
Posted Date: Feb 24 2026

At GSK we see a world in which advanced applications ofMachineLearningand AI will allow us to develop transformational medicines using the power of genetics, functional genomics, andmachinelearning. AI will also play a role in how we diagnose and use medicines to enable everyone to do more feel better and live longer.It is an ambitiousvisionthat will require the development of products at the cutting edge ofMachineLearningand AI.



We're looking for a highly skilled individual contributor who can consistently take a poorly defined business or technical problem, work it to a well-defined problem/specification, and execute on it at a high level. They have a strong focus on metrics, both in the domains of system health/performance and the impact of their work. They are a model for the team on best practices for software development in general (and their specialization in particular), including code quality, documentation, DevOps practices, and testing, and coaching/mentorship. They ensure the robustness of our services and serve as an escalation point in the operation of existing services, pipelines, and workflows.

This individual should be deeply familiar with the tools of their specialization and of their customers and engaged with the open-source community surrounding them - potentially, even to the level of contributing pull requests.

Key Responsibilities:

Lead the design, development, and implementation of data frameworks, pipelines and services to support data operations for machine learning engineering teams.

Collaborate with cross-functional teams to identify requirements and provide technical guidance. Integrate APIs with systems and platforms for seamless data exchange and enhanced system functionality.

Produce well-engineered software, including appropriate automated test suites, technical documentation, and necessary operations.

Boldly explore the bleeding edge of GenAI/agentic tools and frameworks to maximize gains while minimizing failures.

Ensure consistent application of platform abstractions to ensure quality and consistency with respect to logging and lineage.

Consult, educate, and coach/mentor on developer best practices and production standards, participate in code reviews and design sessions.

Adhere to QMS framework and CI/CD best practices and helps to guide improvements to them that improve ways of working.

Stay up-to-date on emerging technologies, trends, and best practices. Identify areas for improvement across the stack.

The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to work. Our leaders will be committed to your career and development from day one.

Why you?

Basic Qualifications:

Bachelor's or graduate degree in Computer Science, focused on software or data engineering, high-performance computing, or machine learning or 5+ years of industry experience in software/data/machine learning engineering.

2+ years of industry experience in software engineering.

Experience in Python.

Experience in applying CI/CD implementations using git and a common CI/CD stack (e.g. Jenkins, CircleCI, GitLab, Azure DevOps)

Experience in API design principles, protocols, and tools (REST, GraphQL, Swagger, etc.)

Experience in data system/ETL design principles, protocols, and tools (REST, GraphQL, Swagger, etc.)

Experience developing infrastructure using Cloud services in GCP or similar cloud environment.

Experience working with Docker and Kubernetes, or closely related containerization and cluster computing frameworks.

Preferred Qualifications:

Candidates with explicit experience working on machine learning orchestration in cloud or HPC environments (using MLFlow, Kubeflow, or similar) will be highly competitive.

Technical leadership and experience leading development projects and/or teams is desirable but not required. Bonus points for demonstrated experience leading efforts in large programs involving multiple cross-functional teams/stakeholders.

Experience upholding software/production best practices, as well as mentorship/coaching is strongly preferred. A willingness and demonstrated ability in these domains are sufficient.

Experience with event-driven architectures and implementing event hooks/triggers in API systems. Familiarity with webhooks, message queues, and pub/sub systems. Ability to design API integrations that enable real-time data updates and notifications.

Competitive candidates will be agile-minded, demonstrating clear proficiency in iterative software development and prototyping.

Candidates who've worked on Search products, vector databases, knowledge graphs, or other production AI/ML products-particularly with agentic interfaces and integrations-will be highly competitive.

#LI-GSK
* 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 $136,125 to $226,875.

The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. 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.

If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process.

Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.

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 get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases - to impact health at scale.

People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

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 where you can also request a call.

Please note should your inquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide. Click the link where you will find answers to multiple questions we receive

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 in respect of the vacancies posted on this site. All employment businesses/agencies are required to 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 (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained 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 such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.

Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/

GSK is an Equal Opportunity Employer and, in the US, we adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class.

About the Company

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GlaxoSmithKline

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