Principal Machine Learning Engineer

Impinj is a leading RAIN RFID provider and Internet of Things pioneer. We’re inventing ways to connect every thing to the Internet — including retail apparel, retail general merchandise, healthcare items, automobile parts, airline baggage, food and much more. With more than 100 billion items connected to date, and multiple Fortune 500 enterprises around the world using our platform, we solve for a better understanding of our world.

If it’s a thing, we’re working to connect it. Join Impinj and help us realize our vision of a boundless IoT— connecting trillions of everyday items to the Internet.

Team Overview:

Impinj is seeking a Principal Machine Learning Engineer specializing in Applied Algorithms to join our Platform Engineering team. This role will work closely with an interdisciplinary team that researches and develops innovative RAIN RFID solutions at massive scale. In this position, you will work in collaboration with our Platform Software, Hardware, and Systems Engineering teams to design and develop experimental RAIN RFID algorithms and model our Platform Solutions, which are foundations of our enterprise engagements.

The Platform Engineering team works closely with our Enterprise customers and outside partners to drive optimizations in tool-building development and deployment of RAIN RFID solutions. Our platform of tags, readers and gateways, and software is what allows us to give a digital identity to billions of everyday items. If you have a passion for using technology to spectacularly change the way companies run their business, this is the role for you.

What you will do:

• Leverage your Machine Learning and Algorithms development to research, develop and deploy RAIN solution algorithms to address our enterprise customer needs

• Pioneer new RAIN RFID applications that help customers solve real world problems across different use cases and industries

• Collaborate with multi-functional partners, such as our Software, Hardware and System Engineering teams and Go-to-Market team to design effective machine learning solutions

• Collaborate with outside partners and customers to develop and deploy novel RAIN RFID solutions based on the Impinj platform

• Create metrics and configure A/B testing to evaluate model performance offline and online to advise and convey our impacts to technical and non-technical collaborators

• Staying up-to-date with the latest machine learning research and techniques, and incorporating them into your work as appropriate

• Create proof of concept demonstrations for customers and partners to show potential uses of our RAIN RFID platform

• Leverage the insights derived from data coming from enterprise customer deployments to assess and improve system performance and build system behavior models

• Document the algorithm development process and communicate results effectively to team members and key stakeholders. This includes writing technical reports, creating visualizations, and presenting findings.

• Redefine raw data into a high-quality, structured format, including data cleaning, correcting errors, handling missing values, integrating data from multiple sources, creating new engineered features, and scaling variables to enhance model performance and ensure accurate, reliable predictions.

• Operate with a hybrid working environment with a few days of the week working from our Lab in North Beacon Hill and/or our office in South Lake Union with the rest of the time working from home

What you will bring:

• Bachelor’s degree in Computer Science or related technical field

• At least 15 years of experience building end-to-end machine learning products, from data gathering, to model training and tuning, to deploying to production and monitoring its performance.

• Algorithm design: implementation of machine learning algorithms and models, customization of traditional and state of the art models to fit specific problems, performance optimization through hyperparameter tuning, and evaluation of scalability, paying special attention to efficient implementations, rigorous testing, and iterative refining models based on performance metrics and feedback.

• Advanced Programming

Skills:

Profi…