Insulet started in 2000 with an idea and a mission to enable our customers to enjoy simplicity, freedom and healthier lives through the use of our Omnipod® product platform. In the last two decades we have improved the lives of hundreds of thousands of patients by using innovative technology that is wearable, waterproof, and lifestyle accommodating.

Position Overview:

Insulet Corporation, maker of the OmniPod, is the leader in tubeless insulin pump. The ML/AI Engineer role is responsible for supporting research and development of global analytics, data science, and AI initiatives, according to Insulet’s data analytics strategy. Working with the Manager, Analytics Technologies, you will leverage cloud technologies and develop ML models as well as AI services that will drive the next phase of Insulet technologies. You will work alongside Data Scientists, Analytics Engineers, and Data Engineers in the Analytics COE, R&D, and clinical experts to support our stakeholders by developing AI products, enhancing decision-making processes, and optimizing operations. Using machine learning and pattern recognition techniques , you will find patterns that help our franchises make predictive, data-driven decisions. We are a fast growing company that provides an energetic work environment, and tremendous career growth opportunities.

Responsibilities:

• Leverage cloud and GPU computing technologies for automated machine learning and analytics pipelines, such as Azure, AWS, GCP, etc.
• Utilize parallel processing to ingest large datasets for training and testing machine learning models.
• Develop custom feature extraction algorithms and dimensionality reduction techniques to enhance model performance.
• Explore data patterns using existing data science & ML tools.
• Collaborate with Data Scientists to perform statistical analysis and predictive modeling.
• Develop and implement AI products and end-to-end ML models, including data processing, feature engineering, training, deployment, and monitoring.
• Clearly communicate findings to a broad audience, aligning with business objectives.
• Mentor junior engineers/scientists.
• Performs other duties as required.

Education and Experience:

• Postgraduate degree in Mathematics, Computer Science, Electrical and Computer Engineering, or a closely related field is preferred
• At least 2 years of work experience on machine learning / artificial intelligence engineering
• Experiences in medical device or healthcare industries is desirable.

Skills/Competencies:

• Goal-driven mentality
• Experience in Python, and parallel processing languages such as Spark/PySpark, Hadoop
• Experience in cloud-based tools, such as Databricks, Microsoft Azure, AWS
• Experience in building and training and deploying machine learning models in the cloud.
• Strong knowledge of classic machine learning techniques (e.g., regressions, tree methods).
• Knowledge of Retrieval-Augmented Generation (RAG) and other Large Language Models (LLMs) techniques.
• Knowledge of diabetes pathophysiology, insulin signaling, and/or human physiology is desirable
• Experience with Python APIs or frontend/backend development is desirable.
• Ability to work independently without detailed guidance, while maintaining effective communications with leaders and stakeholders.
• Ability to communicate effectively and document objectives and procedures.

NOTE: This position is eligible for 100% remote working arrangements (may work from home/virtually 100%; may also work hybrid on-site/virtual as desired). #LI-Remote

Travel is estimated at 10% but will flex depending on business needs