Senior Software Developer - Assessments (Machine Learning)
Toronto, Remote
Coursera
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Coursera is a leading online learning platform for higher education, where 76 million learners from around the world come to learn skills of the future. More than 200 of the world’s top universities and industry educators partner with Coursera to offer courses, Specializations, certificates, and degree programs. Thousands of companies trust the company’s enterprise platform Coursera for Business to transform their talent. Coursera for Government equips government employees and citizens with in-demand skills to build a competitive workforce. Coursera for Campus empowers any university to offer high-quality, job-relevant online education to students, alumni, faculty, and staff. Coursera is backed by leading investors that include Kleiner Perkins, New Enterprise Associates, Learn Capital, and SEEK Group.
The Core Platform Assessments team owns a broad range of product functionalities in Coursera’s two-sided content platform providing a scalable authoring platform, learner-facing experience, grading, progress tracking, and academic integrity features serving 70+ million learners. We leverage the experience and data we have to enable instructors to create engaging content for learners at scale while upholding a high level of academic integrity.We are looking for a creative, collaborative, technically strong engineer to help deliver high-quality and scalable functionalities to improve our assessment products. In addition to the technical implementations, this role will also play an integral part in defining our future roadmap in academic integrity and assignment grading features as we look to incorporate more automated data-driven solutions. Our ideal candidate has a strong track record of delivering high quality end-to-end product experiences including design, implementation, testing, and deployment of these experiences in collaboration with cross-functional teams and is constantly looking to grow their skillset. It is also crucial that a candidate is impact-driven and shares our passion for education.Check out life at Coursera on The Muse!
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, please contact us at accommodations@coursera.org.
Please review our CCPA Applicant Notice here.
The Core Platform Assessments team owns a broad range of product functionalities in Coursera’s two-sided content platform providing a scalable authoring platform, learner-facing experience, grading, progress tracking, and academic integrity features serving 70+ million learners. We leverage the experience and data we have to enable instructors to create engaging content for learners at scale while upholding a high level of academic integrity.We are looking for a creative, collaborative, technically strong engineer to help deliver high-quality and scalable functionalities to improve our assessment products. In addition to the technical implementations, this role will also play an integral part in defining our future roadmap in academic integrity and assignment grading features as we look to incorporate more automated data-driven solutions. Our ideal candidate has a strong track record of delivering high quality end-to-end product experiences including design, implementation, testing, and deployment of these experiences in collaboration with cross-functional teams and is constantly looking to grow their skillset. It is also crucial that a candidate is impact-driven and shares our passion for education.Check out life at Coursera on The Muse!
Your responsibilities:
- Design and implement scalable systems and infrastructures
- Design and develop APIs powering user-facing product features
- Participate in and lead architectural designs of critical components owned by the team that impacts multiple business lines
- Continuous improvement of foundational components in the dimensions of configurability and quality
- Measure your work thoroughly, analyze results, and generate hypotheses to drive new product changes through A/B testing
- Setup monitoring and testing of your APIs and services to better understand real time health of your products
- Design, build, and launch efficient and reliable machine learning (ML) services
- Build and maintain interfaces where the model predictions and decisions are served
- Collaborate with our data scientists and data engineering
Your skills:
- 5+ years of experience working in a relevant product software engineering role
- Expertise in designing highly-scalable and performant micro-services and storage layers using common frameworks, languages, and cloud infrastructure (e.g. Java, Play/Scala, MySql, NoSQL, Elastic Search, Kafka)
- Experience in contributing to or leading large projects with cross-functional stakeholders and end-to-end product development lifecycle
Preferred Qualifications
- Strong knowledge of machine learning algorithms
- Industry experience building and productionizing data pipelines and/or machine learning systems
- Data-driven and strongly motivated by success and learnings through experiments and metrics analysis
- Strong oral and written communication skills
- Ability to execute
- Comfortable working in a fast-moving team environment (we deploy many times a day!)
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, please contact us at accommodations@coursera.org.
Please review our CCPA Applicant Notice here.
Tags: A/B testing APIs Data pipelines Engineering Kafka Machine Learning MySQL NoSQL Pipelines Scala Testing
Perks/benefits: Career development
Regions:
Remote/Anywhere
North America
Country:
Canada
Job stats:
18
3
0
Categories:
Engineering Jobs
Machine Learning Jobs
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