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You will be updated with latest job alerts via emailThe Role
Joining Moderna offers the unique opportunity to be part of a pioneering team thats revolutionizing medicine through mRNA technology with a diverse pipeline of development programs across various diseases.
As an employee youll be part of a continually growing organization working alongside exceptional colleagues and strategic partners worldwide contributing to global health initiatives.
Modernas commitment to advancing the technological frontier of mRNA medicines ensures a challenging and rewarding career experience with the potential to make a significant impact on patients lives worldwide.
Moderna is solidifying its presence within our international business services hub in Warsaw Poland a city renowned for its rich scientific and technological heritage. This hub provides critical functions meeting the growing demand of Modernas global business operations. Were inviting professionals from around the world to join our mission and contribute to the future of mRNA medicines.
Moderna is seeking a Software Developer (SDE) / Machine Learning Engineer (MLE) to join the ML Platform Team in Warsaw Poland. This role is essential in building tools and infrastructure that empower data scientists to experiment and deploy cuttingedge machine learning models and algorithms at scale. You will work closely with data science and application teams ensuring seamless collaboration and integration of AIdriven solutions into realworld applications. We seek an innovative highly motivated engineer who is eager to leverage software engineering and machine learning to advance mRNA therapeutics and vaccines improving patient lives worldwide.
Heres What Youll Do
Your key responsibilities will be:
Design and develop software systems for machine learning solutions ensuring efficiency scalability and reliability.
Collaborate with data scientists product managers and software engineers to translate complex requirements into technical implementations.
Write clean maintainable and welldocumented code in relevant programming languages (primarily Python).
Develop and optimize endtoend machine learning pipelines including data ingestion preprocessing evaluation deployment and monitoring.
Build and maintain APIs and microservices to support AI applications.
Implement best practices in software development including code reviews testing frameworks and continuous integration/deployment (CI/CD).
Ensure compliance with data security and privacy regulations throughout the software development lifecycle.
Your responsibilities will also include:
Enhance and optimize existing ML workflows for performance and scalability.
Apply containerization technologies (e.g. Docker Kubernetes) for scalable ML model deployments.
Collaborate with junior engineers sharing best practices and knowledge to foster team growth.
Stay informed on emerging AI and machine learning technologies contributing to continuous innovation.
Troubleshoot and resolve technical challenges to maintain system performance and reliability.
Work in an agile crossfunctional environment contributing to interdisciplinary software projects.
The key Moderna Mindsets youll need to succeed in the role:
We push past possible You thrive in solving complex problems beyond conventional boundaries constantly seeking innovation in AI ML and software development to enhance Modernas impact on global health.
We digitize everywhere possible You embrace automation cloud deployment and advanced AI tools to maximize efficiency and scalability in machine learning workflows.
Heres What Youll Need (Basic Qualifications)
Bachelors Masters or PhD in Computer Science Engineering or a related field.
5 years of software engineering experience with a focus on AI and machine learning.
Experience with ML workflows including model deployment using CI/CD.
Handson experience designing and implementing machine learning systems in production environments.
Strong understanding of deep learning frameworks (e.g. PyTorch PyTorch Lightning JAX) and libraries (e.g. CUDA).
Experience with containerization technologies (e.g. Docker Kubernetes).
Heres What Youll Bring to the Table (Preferred Qualifications)
5 years of experience delivering software projects in an industry setting.
Excellent communication skills (verbal written and remote collaboration).
Ability to communicate effectively across multiple levels of stakeholders.
Experience working on machine learning workflows and executing interdisciplinary software projects.
Proficiency in Python particularly in machine learning libraries (Sklearn PyTorch).
Familiarity with LLM technologies (e.g. Llama) and cloud deployment (e.g. AWS Bedrock).
Knowledge of Amazon Web Services (AWS) (e.g. ECR ECS EC2.
Experience troubleshooting and debugging complex technical systems.
Understanding of distributed systems databases (PostgreSQL) and Unixbased operating systems.
Ability to manage multiple projects and work collaboratively in a dynamic environment.
Experience in agile/scrum workflows.
A desire to make an impact as part of a highgrowth transformational company that is Bold Relentless Curious and Collaborative.
At Moderna we believe that when you feel your best you can do your best work. Thats why our global benefits and wellbeing resources are designed to support youat work at home and everywhere in between.
The benefits offered may vary depending on the nature of your employment with Moderna and the country where you work.
About Moderna
Since our founding in 2010 we have aspired to build the leading mRNA technology platform theinfrastructure to reimagine how medicines are created and delivered and a worldclass team. We believe in giving our people a platform to change medicine and an opportunity to change the world.
By living our mission values and mindsets every day our peopleare the driving force behind our scientific progress and our culture.Together we are creating a culture of belonging and building an organization that cares deeply for our patients our employees the environment and our communities.
We are proud to have been recognized as a Science Magazine Top Biopharma Employer a Fast Company Best Workplace for Innovators and a Great Place to Work in the U.S.
As we build our company we have always believed an inperson culture is critical to our success. Moderna champions the significant benefits of inoffice collaboration by embracing a 70/30 work model. This 70 inoffice structure helps to foster a culture rich in innovation teamwork and direct mentorship. Join us in shaping a world where every interaction is an opportunity to learn contribute and make a meaningful impact.
If you want to make a difference and join a team that is changing the future of medicine we invite you to visit modernatx/careers to learn more about our current opportunities.
Moderna is a smokefree alcoholfree and drugfree work environment.
Moderna is a place where everyone can grow. If you meet the Basic Qualifications for the role and you would be excited to contribute to our mission every day please apply!
Moderna is committed to equal opportunity in employment and nondiscrimination for all employees and qualified applicants without regard to a persons race color sex gender identity or expression age religion national origin ancestry or citizenship ethnicity disability military or protected veteran status genetic information sexual orientation marital or familial status or any other personal characteristic protected under applicable law. We consider qualified applicants regardless of criminal histories consistent with legal requirements.
Were focused on attracting retaining developing and advancing our employees. By cultivating a workplace that values diverse experiences backgrounds and ideas we create an environment where every employee can contribute their best.
Moderna is committed to offering reasonable accommodation or adjustments to qualified job applicants with disabilities. Any applicant requiring an accommodation or adjustment in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should contact the Accommodations and Adjustments team at .
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