In this role, you will:
- Help build, scale, and maintain production services and infrastructure that deliver critical data, ML inferences, and experiences to students and teachers on Quizlet.com
- Accelerate and amplify the work of our Machine Learning Engineers by building infrastructure that streamlines the development, testing, and deployment of machine learning models to production
- Support ML engineers in productionizing ML models and features with the goal of developing tools and processes that enable self-service
- Develop and implement scalable infrastructure and platform solutions that enable the acquisition, ingestion, and processing of data at scale.
- Partner with Product Engineers and Data Scientists to ensure that critical data is delivered to its destination with maximal availability, recoverability, and operational efficiency
- Collaborate with engineers and leadership across the organization to define the technical vision and build on the technical roadmap for Data Platform
What you bring to the table:
- 4+ Experience as a Software Engineer, particularly in backend development in Python and Go
- Experience building and operating API endpoints and services for users or business-facing products with high-levels of reliability
- Proficiency with microservices development and distributed systems (Docker, Kubernetes, Terraform) is highly valued
- Experience with building and maintaining systems in Google Cloud Platform (or AWS and Azure)
- Experience working cross functionally with both technical and non-technical teams
- Excellent communication and problem solving skills
- A desire to learn new things and help others learn
Bonus points if you have:
- Experience defining architecture, tooling, and strategy for large-scale distributed systems
- Knowledge and experience building applied ML-based applications are highly preferred
Compensation, Benefits & Perks:
- Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps. Total compensation for this role is market competitive, including a starting base salary of $135,000 - $190,000, depending on location and experience, as well as company stock options
- Collaborate with your manager and team to create a healthy work-life balance
- 20 vacation days (and we expect you to take them!)
- Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, HMO, VSP Choice)
- Employer-sponsored 401k plan with company match
- Access to LinkedIn Learning and other resources to support professional growth
- Paid Family Leave, FSA, HSA, Commuter benefits, Wellness benefits
- 40 hours of annual paid time off to participate in volunteer programs of choice
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