Senior Machine Learning Scientist
QlooSalary not specified
Full Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
IoT, RFIDIndustries
Requirements
- 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 models
Responsibilities
- Leverage Machine Learning and Algorithms development to research, develop and deploy RAIN solution algorithms to address 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 impacts to technical and non-technical collaborators
- Stay up-to-date with the latest machine learning research and techniques, and incorporate them into work as appropriate
- Create proof of concept demonstrations for customers and partners to show potential uses of the RAIN RFID platform
- Leverage 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, including 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 in a hybrid working environment with a few days of the week working from the Lab in North Beacon Hill and/or the office in South Lake Union, with the rest of the time working from home
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the salary range for the Principal Machine Learning Engineer position?
This information is not specified in the job description.
Is this Principal Machine Learning Engineer role remote or office-based?
This information is not specified in the job description.
What skills are required for the Principal Machine Learning Engineer role?
The role requires expertise in Machine Learning and Algorithms development, experience with RAIN RFID solutions, and the ability to collaborate with multi-functional teams including Software, Hardware, and Systems Engineering.
What is the team structure like for this position at Impinj?
You will join the Platform Engineering team, working closely with an interdisciplinary team and collaborating with Platform Software, Hardware, Systems Engineering teams, Enterprise customers, and outside partners.
What makes a strong candidate for the Principal Machine Learning Engineer role?
A strong candidate has a passion for using technology to change how companies run their business, experience pioneering RAIN RFID applications, staying current with machine learning research, and effectively communicating results to technical and non-technical stakeholders.
Imprint
Designs and manages co-branded credit card programs
About Imprint
Imprint designs and manages co-branded credit card programs for well-known American brands. By partnering with these brands, Imprint creates credit cards that attract modern consumers, aiming to enhance the value of their partners' customer relationships. The company focuses on increasing metrics such as average spending, shopping frequency, and annual sales for cardholders. Imprint's process is notably faster than traditional credit card issuers, allowing them to launch new programs in about three months instead of the typical 18 months. Additionally, Imprint prioritizes customer service, offering a premium experience to cardholders. The goal of Imprint is to provide brands with effective credit card solutions that drive customer loyalty and sales.
New York City, New YorkHeadquarters
2020Year Founded
$197.5MTotal Funding
SERIES_CCompany Stage
Fintech, Financial ServicesIndustries
51-200Employees
Benefits
Competitive compensation and equity packages
Leading configured work computers of your choice
Unlimited vacation policy
Fully covered, high-quality healthcare including fully covered dependent coverage
Additional health coverage includes access to One Medical and option to enroll in an FSA
16 weeks of paid parental leave for the primary caregiver and 8 weeks for all new parents
An understanding that successful remote work requires flexibility and an appreciation for asynchronous work
Access to industry leading technology across all of our business units — stemming from our philosophy that we should invest in resources for our team that foster innovation, optimization, and productivity
Limited edition Imprint Credit Card (no hard pull) for the first 100 team members only. Get 1.5% cash back on all purchases, plus additional perks
Risks
Increased competition from traditional issuers adopting fintech innovations.
Potential regulatory scrutiny could increase compliance costs for Imprint.
Economic downturns may reduce transaction volumes and Imprint's revenue.
Differentiation
Imprint launches co-branded credit card programs in just three months.
Imprint offers tailored rewards programs for each brand's specific needs.
Imprint provides 'white-glove treatment' customer service to all cardholders.
Upsides
Imprint raised $75M in Series C funding to fuel innovation.
Increased consumer interest in digital wallets boosts demand for Imprint's solutions.
Partnerships with traditional banks expand Imprint's co-branded card opportunities.
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