Amgen
Senior Machine Learning Engineer
Job Description
Career Category
Information Systems
Job Description
Join Amgen’s Mission of Serving Patients
At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.
Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
Senior Machine Learning Engineer
What you will do
Let’s do this. Let’s change the world. In this vital role, you will play a key role in a regulatory submission content automation initiative which will modernize and digitize the regulatory submission process, positioning Amgen as a leader in regulatory innovation. The initiative uses state-of-the-art technologies, including Generative AI, Structured Content Management, and integrated data to automate the creation, review, and approval of regulatory content.
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Design, develop, and deploy applications that use LLMs like OpenAI GPT
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Build and maintain MLOps pipelines, including data ingestion, chunking, vectorization, feature engineering, model training, deployment, and monitoring.
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Leverage cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment.
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Implement DevOps/MLOps/LLMOps standard methodologies to automate ML workflows and improve efficiency.
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Develop and implement monitoring systems to track model performance and identify issues.
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Conduct A/B testing and experimentation to optimize model performance.
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Review code and maintain strong standards and practices on the team
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Work closely with data scientists, engineers, and product teams to deliver ML solutions.
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Stay updated with the latest trends and advancements
What we expect of you
We are all different, yet we all use our unique contributions to serve patients. We are seeking a highly skilled Senior Machine Learning Engineer with a strong MLOps background and experience working with Large Language Models (LLMs) to join our team. You will play a pivotal role in building and scaling our machine learning models and LLM applications from development to production. Your expertise in both machine learning and operations will be critical in creating efficient and reliable pipelines and applications.
Basic Qualifications:
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Doctorate Degree OR
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Master’s degree with 4 – 6 years of experience in Software Engineering, Data Science or Machine Learning Engineering OR
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Bachelor’s degree with 6 – 8 years of experience in I Software Engineering, Data Science or Machine Learning Engineering OR
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Diploma with 10 – 12 years of experience in Software Engineering, Data Science or Machine Learning Engineering
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Great foundation in machine learning algorithms and techniques
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Expertise in Python and relevant ML libraries (e.g., Scikit-learn, langchain, TensorFlow, PyTorch)
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Proficiency with AWS, Azure, or Google Cloud;
Preferred Qualifications:
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Experience in building custom solutions using LLMs to meet specific business needs
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Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD)
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Experience with data engineering and pipeline development
Soft Skills:
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Excellent analytical and solving skills.
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Strong verbal and written communication skills
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Ability to work effectively with global, virtual teams
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High degree of initiative and self-motivation.
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Ability to handle multiple priorities successfully.
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Team-oriented, with a focus on achieving team goals
What you can expect of us
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
Apply now
for a career that defies imagination
Objects in your future are closer than they appear. Join us.
careers.amgen.com
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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