GSK Logo

GSK

AI/ML Engineer

Reposted 2 Days Ago
In-Office
San Francisco, CA, USA
136K-227K Annually
Entry level
In-Office
San Francisco, CA, USA
136K-227K Annually
Entry level
Develops agentic systems and machine learning models using frontier, genomics, and multiomics models to advance disease understanding, drug design, therapeutic response, and longevity research. The role involves building and shipping high-performing AI/ML products, applying engineering best practices, evaluating models, and collaborating across teams. Genomics and RNA biology experience is helpful but not required.
The summary above was generated by AI

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 - [email protected]

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/

Similar Jobs

4 Days Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
179K-319K Annually
Senior level
179K-319K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Lead the design and implementation of AI initiatives for edge devices. Develop and optimize machine learning solutions using large-scale sensor, video, text, diagnostic, transaction, and location data. Partner with engineering and business teams to prototype AI experiences, ship production systems, adopt research advances, and improve edge model performance. Mentor ML engineers and communicate technical concepts to varied audiences.
Top Skills: C++Computer VisionEdge AiEdge ComputingIotMachine LearningMl Model OptimizationPythonRust
4 Days Ago
Hybrid
Sunnyvale, CA, USA
Entry level
Entry level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Develop data-centric machine learning systems for autonomous driving. Design dataset mixtures, curation, mining, sampling, evaluation, and scaling-law experiments; train foundation models using real and synthetic driving data; investigate failures and improve data quality. Apply self-supervised, imitation, and reinforcement learning to perception and trajectory generation. Collaborate on large-scale multi-GPU training, production deployment, and integration into onboard driving systems.
Top Skills: SparkAutonomous DrivingFoundation ModelsImitation LearningMulti-Gpu TrainingMulti-Node TrainingNumpyPandasPythonPyTorchReinforcement LearningSelf-Supervised LearningSimulation-To-Real TransferSQLSynthetic Data
5 Days Ago
Hybrid
176K-308K Annually
Senior level
176K-308K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Design, develop, and deploy scalable Voice AI platforms and distributed systems across regions and datacenters. Build LLM-based applications, voice agents, and integrations with hosted and self-hosted models. Partner with product managers and customers, improve SRE tooling, enforce software engineering best practices, and mentor engineers across Voice AI disciplines.
Top Skills: Audio AcquisitionClaude CodeConversation ManagementCursorDevOpsDistributed SystemsGoJavaKubernetesLlmsPythonSpeech GenerationSreVoice AiWindsurf

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account