Impinj is seeking to solve the problem of connecting everyday items to the Internet, with a focus on developing innovative RAIN RFID solutions at massive scale to address enterprise customer needs.
Requirements
- 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
- Advanced Programming Skills: Proficiency in languages such as Python, R, C++, along with experience in machine learning libraries and frameworks like TensorFlow, PyTorch, and scikit-learn
- Advanced understanding of linear algebra, calculus, probability, and statistics aided to the development and analysis of machine learning models
- Demonstrated experience in version control systems like Git for tracking changes and collaborating on code
- Experience with algorithm optimization, parallel processing, and efficient data structures to ensure scalable, high-performance applications
- Experience in leading multi-functional projects and teams of SW, FW and Data Engineers and possibly external partners or customer teams
- Good understanding of the software development lifecycle, structured project management, collaborative coding practices (such as code reviews and pair programming), and continuous enhancement of code quality
Responsibilities
- 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
- Create proof of concept demonstrations for customers and partners to show potential uses of our RAIN RFID platform
- 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
Other
- Bachelor’s degree in Computer Science or related technical field
- At least 15 years of experience building end-to-end machine learning products
- Strong communication skills to convey complex technical concepts to the teammates and to non-technical stakeholders and leadership abilities to guide and mentor teams
- US based employees have access to healthcare benefits; a 401(k) plan and company match among others
- Open paid time-off policy paired with a respect for work/life balance
