We're looking for an accomplished
Machine Learning Engineer to help make this vision a reality. In this role, you will imagine and engineer agentic systems and machine learning models to elucidate the molecular mechanisms of disease and accelerate the development of new therapies. You will work with frontier models, foundational genomics models, and multiomics datasets from patients and lab experiments to model aspects of molecular biology and medicinal chemistry that will inform our understanding of disease, drug design and response, and longevity. Familiarity and experience with genomics and RNA biology is a plus, but not required. This position is open to machine learning engineers with a track record of excellence in other domains who have a desire to learn.
Strong candidates will have a track record of shipping high performing AI/ML products, academic excellence, and a passion for solving challenging problems in Artificial Intelligence and Machine Learning. Education in the biological sciences is a plus but is not necessary; passion to help therapies for new and existing diseases, and a pattern of continuous learning and development is mandatory.
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: We are looking for professionals with these required skills to achieve our goals:
- Degree in a quantitative or engineering discipline (computer science, bioengineering, physics, mathematics, electrical engineering, etc) or equivalent work experience
- Experience with LLM agents, evals, and agentic workflow design
- Experience in at least one major deep learning framework (Pytorch, Tensorflow)
- Programming expertise in Python
- Experience using Git, SQL, and shell scripting within an artificial intelligence and machine learning engineering stack.
- Experience applying machine learning best practices.
Preferred Qualifications: If you have the following characteristics, it would be a plus:
- Internship experience as researcher in AIML focused academic lab or AIML engineer or SWE in industry
- Experience working with biomedical datasets (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images)
- Track record of contributing to open-source projects
- Mentality of commit early and often, metrics before models, and shipping high quality production code
#LI-GSK
SkillsArtificial Intelligence (AI), Artificial Intelligence Ethics, 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.
Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.
