Principal ML Engineer, Applied Algorithms

Team Overview:

Impinj is seeking a Principal Machine Learning Engineer specializing in Applied Algorithms to join the 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 the 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.

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 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.
• Comfortable with a hybrid working environment with a few days of the week spent at our Lab in North Beacon Hill and/or our office in South Lake Union and a few days spent remote.

Requirements

• BS, MS or PhD in Computer Science or related technical field.
• At least 10+ 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.

Technical Skills

• Data Handling and Processing:  redefining raw data into a high-quality, structured format. This includes 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.
• Algorithm design: implementation of machine learning algorithms and models, customization of traditional and state of the art models to fit specific problems, performance optimization performance through hyperparameter tuning, and evaluation of scalability. Attention efficient implementations, rigorous testing, and iterative refining models based on performance metrics and feedback.
• 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
• Linear algebra, calculus, probability, and statistics: advanced understanding of linear algebra, calculus, probability, and statistics aided to the development and analysis of machine learning models. This includes knowledge of matrix operations, differentiation and integration, probability distributions, and statistical inference, enabling the creation of robust algorithms and accurate predictions from complex data set.
• Software engineering practices: experience in version control systems like Git for tracking changes and collaborating on code. Good understanding of the software development lifecycle, structured project management, collaborative coding practices (such as code reviews and pair programming). Consistently approach continuous enhancement of the code quality.
• Code Optimization: experience with algorithm optimization, parallel processing, and efficient data structures to ensure scalable, high-performance applications.

Soft Skills

• Leadership: Experience in leading multi-functional projects and teams of SW, FW and Data Engineers and possibly external partners or customer teams. Strong communication skills to convey complex technical concepts to the teammates and to non-technical stakeholders and leadership abilities to guide and mentor teams.
• Documentation and Communication: Document the algorithm development process and communicate the results effectively to the team members and to the stakeholders. This includes writing technical reports, creating visualizations, and presenting findings.
• Mindset: you have a growth mindset and aspire to continuously improve your soft and technical skills.

Compensation and Benefits:

The benefits listed below may vary depending on the nature of your employment with Impinj and the country where you work.

The typical base pay range for this role across the US is $168,000- $267,000. Individual base pay depends on various factors such as complexity and responsibility of role, job duties, requirements, and relevant experience and skills. Both market wage data and the mid-point of the pay range is reviewed and used as the starting point for all new hire offers. Offers are made within the base pay range applicable at the time.
At Impinj certain roles are eligible for additional rewards, including merit increases, annual bonus and stock. These awards are allocated based on individual performance. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee’s role. US based employees have access to healthcare benefits; a 401(k) plan and company match among others.

For a more comprehensive list of US employment benefits, click here.