Machine Learning Engineering Lead
2 weeks ago
About the Role:
We are seeking a highly skilled and experienced Machine Learning Engineer to lead our RNA Therapeutics team. As a Lead of Machine Learning Engineering, you will be responsible for developing and implementing machine learning algorithms to accelerate the discovery and development of novel RNA therapeutics.
Key Responsibilities:
* Lead a team of machine learning engineers to develop and implement machine learning algorithms
* Collaborate with cross-functional teams to integrate machine learning solutions into our RNA therapeutics pipeline
* Develop and maintain high-quality machine learning models and algorithms
* Ensure the scalability and reliability of our machine learning solutions
Requirements:
* PhD in Computer Science, Machine Learning, or related field
* 5+ years of experience in machine learning engineering
* Strong programming skills in Python and experience with deep learning frameworks
* Excellent communication and leadership skills
What We Offer:
* Competitive salary and benefits package
* Opportunity to work on cutting-edge machine learning projects
* Collaborative and dynamic work environment
How to Apply:
If you are a motivated and experienced machine learning engineer looking for a new challenge, please submit your application, including your resume and a cover letter, to [insert contact information].
About GSK:
GSK is a global biopharma company dedicated to improving the health and wellbeing of people around the world. We are committed to innovation and excellence in all aspects of our business, and we are seeking talented individuals to join our team.
Equal Opportunities Employer:
GSK is an equal opportunities employer and welcomes applications from all qualified candidates. We are committed to diversity and inclusion in the workplace and are an affirmative action employer. We are proud to be an employer of choice for people with disabilities and are committed to making reasonable adjustments to support our employees.
Contact Us:
If you have any questions or would like to learn more about this opportunity, please contact us at [insert contact information].
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