Applied AI Engineer

GSK plc; South San Francisco (CA); Sur place; USD 136 000 - 227 000; Plein temps

Avantages offerts par ce poste

Health care

Retirement benefits

Paid holidays

Vacation

Paid caregiver/parental and medical le

Résumé du poste

GSK plc is seeking an Applied AI Engineer to embed with cross‑functional teams and deliver practical AI/ML solutions aligned with R&D and business priorities. You will design, build, and deploy models and AI tools to accelerate discovery and decision‑making.

The role blends hands‑on engineering with advisory work, developing reusable patterns, pipelines, and knowledge transfer while ensuring privacy, ethics, and regulatory considerations.

Qualifications

• Bachelor’s degree in CS/ML/related field or equivalent professional experience.
• 2+ years of professional ML development and deployment experience.
• Proficiency with Python and ML libraries (PyTorch, TensorFlow, scikit-learn).
• Experience with cloud platforms (GCP, AWS, or Azure) and containerization (Docker, Kubernetes).
• Ability to communicate complex concepts to non-technical stakeholders.

Responsabilités

• Advise business units on AI/ML use cases, feasibility, and deployment options.
• Co-design PoCs with product and domain teams to validate ideas.
• Translate requirements into scoped technical solutions with measurable criteria.
• Build, train, evaluate, and iterate ML models for real-world tasks.
• Package models into production services (APIs, containers) on cloud.

Connaissances

Python

ML/DL

Cross-functional teamwork

Model deployment

NLP/LLM basics

GCP/AWS/Azure

Formation

Bachelor’s degree in CS/ML/related

Outils

PyTorch

TensorFlow

Keras

Docker

Kubernetes

MLflow

Description du poste

About the Role

As an Applied AI Engineer, you will be embedded within cross‑functional teams to deliver practical, high‑impact AI/ML solutions aligned with GSK’s R&D and business priorities. You will partner closely with scientists, product teams, and domain experts to design, build, and deploy machine learning models and AI‑powered tools that accelerate drug discovery, improve decision‑making, and enable responsible use of AI across the enterprise.

This role is hands‑on and consultative in equal measure. You will evaluate use‑case feasibility, prototype solutions rapidly, architect model integrations, and transfer knowledge so that partner teams can operate independently. You will also contribute to the development of reusable patterns, baseline models, and tested pipelines for common AI/ML tasks within GSK’s approved.

Key Responsibilities

• Advisory & Solution Design Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts.
• Co‑design prototypes and proof‑of‑concepts (PoCs) with product and domain teams to validate ideas quickly and de‑risk larger investments.
• Translate complex stakeholder requirements into well‑scoped technical solutions with clear success criteria and handover plans.
• Model Development & Deployment Build, train, evaluate, and iterate on ML models for real‑world scientific and business problems—including but not limited to NLP/LLM applications, knowledge graphs, causal inference, computer vision, and predictive modeling.
• Package trained models into production‑ready services (APIs, containerized deployments) using GSK’s cloud infrastructure (GCP/AWS/Azure).
• Develop and maintain agentic AI systems, multi‑agent architectures, and LLM‑based tools where appropriate.
• Share reusable patterns, baseline models, and tested pipelines for common AI/ML tasks.
• Embed privacy, ethics, and regulatory considerations into every engagement from the outset.
• Knowledge Transfer & Enablement Run workshops, seminars, and hands‑on training sessions to increase AI literacy across the organization.
• Embed within business/research units for time‑limited engagements (typically 6–8 weeks) to accelerate delivery and transfer skills.
• Communicate relevant issues, requests, and opportunities from business units back to AI/ML product leads.

Basic Qualifications

• Bachelor’s degree in Computer Science, Machine Learning, Computational Biology, Bioinformatics, Statistics, Engineering, or a related quantitative discipline; OR equivalent professional experience as a software/ML engineer.
• 2+ years of professional experience developing and deploying machine learning models (with a Bachelor’s); 2+ years with a Master’s or PhD.
• Expertise in Python, including ML/data science libraries (PyTorch, TensorFlow, JAX, scikit‑learn, pandas, numpy).
• Experience with cloud platforms (GCP, AWS, or Azure) and containerization (Docker, Kubernetes).
• Strong understanding of ML fundamentals: supervised/unsupervised learning, deep learning, model evaluation, feature engineering, and experiment tracking.
• Experience working in cross‑functional teams and communicating technical concepts to non‑technical stakeholders.
• Experience working in healthcare, pharma, or biological domains.

Preferred Qualifications

• Experience in pharma, biotech, or life sciences—particularly in drug discovery, genomics, clinical data, or biological data analysis.
• Hands‑on experience building LLM‑based applications, agentic AI systems, RAG pipelines, or multi‑agent architectures (e.g., LangChain, LangGraph, AutoGen).
• Experience with knowledge graph construction, causal inference, or large perturbation models.
• Familiarity with single‑cell RNA‑seq, spatial transcriptomics, CRISPR assay data, or other high‑dimensional biological datasets.
• Experience with MLOps practices: CI/CD for ML, model monitoring, experiment tracking (MLflow, Weights & Biases), and reproducible research workflows.
• Contributions to open‑source ML/AI projects or peer‑reviewed publications in applied ML.
• Background or demonstrated interest in responsible AI, AI ethics, or model governance.
• Strong software engineering practices: version control (Git/GitHub), code review, testing, and documentation.
• Experience evaluating and integrating third‑party AI/ML vendor tools and platforms.

Skills

• Artificial Intelligence (AI), Artificial Intelligence Ethics, Artificial Neural Networks (ANNS), Classification Models, Deep Learning, Intelligent Automation (IA), Machine Learning (ML), Model Evaluation, Model Validation, Predictive Modeling, Probabilistic Modeling, Python (Programming Language), Test Documentation
• 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.

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.

If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at [e-mail]

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.