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AI/ML Engineer

Site Name: USA - California - San Francisco, USA - Massachusetts - Cambridge, USA - Pennsylvania - Upper ProvidencePosted Date: Nov 27 2024At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop transformational medicines using the power of genetics, functional genomics and machine learning. 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 ambitious vision that will require the development of products at the cutting edge of Machine Learning and AI.The AI/ML Medical Imaging Team applies advances in machine learning and AI with an emphasis on deep learning to established medical imaging modalities including CT/MRI/PET that provide both anatomical and functional information used for development and discovery of novel biomarker/phenotypes and imaging endpoints in clinical trials. Our team builds products that aim to extract these insights from public and internal datasets of clinical trial imaging data.This is an exciting opportunity at the intersection of medical image analysis and computer vision.We’re looking for a highly skilled AI/ML Engineer to join our team. As an AI/ML Engineer in this role, you will:• Carry out product-driven research on novel machine learning methods to medical imaging data.• Leverage internal high performance computing system to train and productionize our models at scale.• Work closely with domain experts on cross-disciplinary teams to generate actionable insights that impact phenotype, biomarker and clinical endpoint development.• Contribute to our developing codebase with well-tested, production-ready code.Competitive candidates will have in-depth knowledge of machine learning with a track record of developing machine learning and especially deep learning models for solving challenging real world scientific problems. They should be comfortable with writing quality, well-documented, and well-tested code in the AI/ML space and operate in an agile environment.Why you?Basic Qualifications:• Masters in computer science, engineering, math or biological sciences.• Experience with Machine learning and software engineering .• Experience Working in a collaborative CI/CD software development environment, including use of git, peer code review .• Developing, troubleshooting, and validating deep learning models for diverse computer vision tasks (e.g., segmentation, recognition, classification, domain adaptation) using PyTorch, TensorFlow, or other deep learning frameworks.• Experience in One or more open-source computer vision libraries such as Pillow, scikit-image, and OpenCV.Preferred Qualifications:If you have the following characteristics, it would be a plus:• Experienced in working with clinical imaging data from any medical imaging modality.• Knowledge in disease biology.• Track record of writing software in a team in industrial environments or open-source projects.• Track record of projects or peer-reviewed publications at the intersection of computer vision and medical imaging.• Mentality of commit early and often, metrics before models, and shipping.#LI-GSK#GSKTech1The annual base salary for new hires in this position ranges from $130,900 to $177,100 taking 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.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 special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US).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.Important notice to Employment businesses/ AgenciesGSK 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 GSK’s Transparency Reporting For the Record site.
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Average salary estimate

$154000 / YEARLY (est.)
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$130900K
$177100K

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What You Should Know About AI/ML Engineer, GSK

If you're an AI/ML Engineer looking for an exciting opportunity to make a real impact, GSK in Collegeville, PA, has just the role for you! At GSK, we aim to transform the field of medicine using cutting-edge machine learning and artificial intelligence technologies. As part of our AI/ML Medical Imaging Team, you will dive into product-driven research that harnesses the power of deep learning to analyze medical imaging data. Whether it's CT, MRI, or PET scans, your work will play a vital role in the development of novel biomarkers and phenotypes used in clinical trials. In this collaborative role, you'll work closely with specialists from various fields to extract actionable insights and enhance patient care. You'll also utilize high-performance computing systems to train and deploy models at scale, ensuring well-documented, production-ready code that meets our rigorous standards. If you have a strong background in machine learning, experience with practical applications in computer vision, and a passion for software development, we want to hear from you. Your future at GSK promises not only to be challenging and rewarding but also impactful in advancing healthcare solutions globally.

Frequently Asked Questions (FAQs) for AI/ML Engineer Role at GSK
What are the responsibilities of an AI/ML Engineer at GSK?

As an AI/ML Engineer at GSK, your main responsibilities include conducting product-driven research focused on innovative machine learning techniques for medical imaging data, collaborating with domain experts to generate actionable insights affecting clinical endpoints, and scaling our models using high-performance computing systems. You'll also be responsible for contributing quality, well-tested code to our codebase.

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What qualifications are required for the AI/ML Engineer role at GSK?

To qualify for the AI/ML Engineer position at GSK, candidates should hold a Master's degree in computer science, engineering, math, or biological sciences. Relevant experience in machine learning, software engineering, and familiarity with deep learning frameworks such as PyTorch or TensorFlow are also essential.

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Is teamwork important for an AI/ML Engineer at GSK?

Absolutely! Teamwork is essential for an AI/ML Engineer at GSK. You'll frequently collaborate with domain experts from various fields to ensure that the insights you gather from medical imaging data are accurate and meaningful. Working effectively in cross-disciplinary teams is a critical aspect of the role.

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What technologies should I be familiar with as an AI/ML Engineer at GSK?

As an AI/ML Engineer at GSK, you should be proficient in deep learning frameworks like PyTorch or TensorFlow. Familiarity with CI/CD environments, coding in collaborative settings using Git, and open-source libraries such as OpenCV and scikit-image will also be beneficial for your success in this role.

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What growth opportunities does GSK offer for AI/ML Engineers?

GSK is committed to fostering a culture of growth and development. As an AI/ML Engineer, you'll have ample opportunities to expand your skill set through training, workshops, and cross-departmental projects. GSK also encourages innovation, allowing you to contribute to exciting projects at the forefront of medical technology.

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Common Interview Questions for AI/ML Engineer
What machine learning projects have you worked on?

When answering this question, be specific about the projects, the techniques you employed, and the outcomes. Highlight your roles and the impact your work had on the project's success. This showcases your practical experience and growth in the field.

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Can you explain how you validate a machine learning model?

Validation of a machine learning model involves methods such as cross-validation and performance metrics like accuracy, precision, and recall. Discuss your process for ensuring the reliability of models prior to deployment, as well as any tools you may have used.

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How do you approach troubleshooting your code?

Share your systematic approach to debugging, such as using print statements or unit tests to isolate issues. Mention your experience with peer code reviews and how they can often help catch mistakes early.

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What are some common pitfalls in machine learning projects that you've encountered?

Common pitfalls include overfitting, underfitting, and data leakage. Discuss any such challenges you've faced and the strategies you implemented to overcome them, emphasizing your problem-solving skills.

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Describe a time you had to collaborate with non-technical team members?

Share a specific example of how you communicated complex concepts to non-technical colleagues, ensuring they understood the technical aspects while valuing their contributions. Highlight your adaptability in different communication styles.

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What programming languages are you proficient in, and how have you used them in your work?

Highlight the programming languages you are most comfortable with, such as Python or R. Discuss specific instances when you've used these languages for machine learning tasks—be it data cleaning, feature engineering, or building models.

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How do you stay updated with advancements in AI/ML?

Discuss your methods for keeping up with the field, whether it’s through academic journals, online courses, attending conferences, or participating in relevant communities. This shows your commitment to continuous learning.

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What metrics do you consider most important for evaluating a machine learning model?

Talk about metrics relevant to the specific tasks you've handled. For instance, in classification tasks, accuracy and F1 score may be vital, while for regression, RMSE or MAE might be more appropriate. Relate this to past experiences.

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How would you prioritize tasks in a collaborative development environment?

Discuss your strategy for prioritizing tasks based on urgency, project timelines, and team goals. Emphasize your ability to adjust priorities based on team and project needs while maintaining focus on quality output.

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What is your experience with deep learning frameworks, and which do you prefer?

When answering, mention specific deep learning frameworks you've used and your experiences with each. Discuss why you favor certain frameworks for particular tasks, and include examples that demonstrate your expertise.

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We know that healthy communities depend on healthy people, and healthy communities are the backbone of strong, sustainable societies. As a business, we have responsibilities to society, and society has expectations of us. Our goal is to meet those...

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BENEFITS & PERKS
Dental Insurance
Disability Insurance
Vision Insurance
Flexible Spending Account (FSA)
Health Savings Account (HSA)
Performance Bonus
Family Medical Leave
Paid Holidays
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
December 11, 2024

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