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AI/ML Engineer

USA - California - San Francisco

Pay
$136,125–226,875/year · BaseLocation-specific pay — pay source
Artificial 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.
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Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
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What you’ll work on

Full posting
  • Design and engineer agentic systems and machine learning models

  • Model molecular biology and medicinal chemistry to inform drug design and response

  • Work with frontier models, genomics models, and multiomics datasets

From the employer’s posting
imagine and engineer agentic systems and machine learning models
model aspects of molecular biology and medicinal chemistry that will inform our understanding of disease, drug design and response, and longevity
You will work with frontier models, foundational genomics models, and multiomics datasets from patients and lab experiments

What you’ll bring

All qualifications

Core experience

  • Degree in a quantitative or engineering field, or equivalent experience
  • Experience with LLM agents, evals, and agentic workflow design
  • Experience in PyTorch or TensorFlow, and Python programming
  • Experience with Git, SQL, and shell scripting
  • Experience applying machine learning best practices

Preferred experience

  • Experience working with biomedical datasets (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images)
Qualification wording
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.
Experience working with biomedical datasets (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images)

Tools in this posting

  • Python
  • SQL
  • PyTorch
  • TensorFlow
Source — Tool mentions in context
- 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.
Skills Artificial 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.
- 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.
- Experience with LLM agents, evals, and agentic workflow design - Experience in at least one major deep learning framework (Pytorch, Tensorflow) - Programming expertise in Python

Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 28, 2026 · 1 day ago
Recorded sightings
3
Last seen by us
Oct 29, 2026

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Job description

View original posting ↗

At GSK we see a world in which advanced applications of Artificial Intelligence will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of AI and Machine LEarning.

 

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


Skills

Artificial 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.

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 - usrecruitment.adjustments@gsk.com

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/

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USA - California - San Francisco

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