Machine Learning Engineer

About us

We are a global learning platform that empowers educators to motivate learners through technology. We are used in diverse learning environments, including K-12, higher education, and corporate settings. Quizizz has organically grown to 70M monthly active users in 100+ countries. The US is a significant market for us, where 80% of the schools trust us in their classrooms. We are a high-growth, profitable company backed by leading venture investors, including Tiger Global, GSV, Nexus Venture Partners, and others.

We are a small, passionate, tech-first team working on challenging problems to improve learning. We thrive on building delightful product experiences by moving fast, leveraging data, and interacting with a passionate user base.

The role

Teachers worldwide have trusted us in their classrooms. As a result, we process billions of monthly responses from our students and teachers. This data, which we never intend to sell, will power the next wave of learning experiences. As one of the first few Machine Learning Engineers, you will help us brainstorm and build capabilities that help us understand our demand and supply, discover content, and power differentiated student experiences and continuous feedback loops for teachers, students, and parents. You will be expected to be at ease working with high-scale datasets, learn new technologies across the ML stack, take full ownership, and create business and user impact. You will work alongside talented peers and leverage the latest in AI and Machine Learning across natural language processing, recommendation systems, time series analysis, and computer vision to create compelling learning experiences for our students.

To execute our vision, we must build the best-in-class Machine Learning team. We are looking for ML Engineers at multiple levels to help bootstrap this team and shape the future of Machine Learning at Quizizz.

Requirements

• You are able to work across the ML stack. Everything from researching models, working with large data sets, training, evaluating, and tuning existing models, creating models from scratch, deploying them at scale, analyzing results to improve outcomes continuously, and presenting to stakeholders across tech and business. We understand that it takes multiple iterations to get something right.

• You are strong in python, especially as it applies to ML. You are comfortable or not afraid to pick technologies like SQL, Cassandra, Kafka, BigQuery, etc., on the fly.

• You have 1+ year of industry experience building and deploying NLP models in multilingual systems.

• You have a solid statistical foundation and mathematical understanding of real-world problems.

• You are able to take abstract requirements and convert them into concrete deliverables for our users and business. You are comfortable exploring green field projects if required.

• You are an excellent communicator. You can explain complex topics in simple languages, so you can help the broader team to understand the impact and inspire people to rally around the ML vision.

• You are able to operate effectively with minimal structure, process, and oversight.

Ideal candidate

• You have 3+ years of industry ML experience, having built and deployed models at scale.

• You have an advanced degree or have done significant coursework in Statistics, Mathematics, Machine Learning, or a related quantitative field.

• You have prior experience influencing data and platform improvements to help shape the technology platform that powers ML at scale,

• You have been a founding engineer of ML teams at growing startups and played a key role in building the team.
• You have prior experience with high-level machine learning frameworks such as Tensorflow, AWS Sagemaker, etc.

Working at Quizizz

The pandemic has changed work in many ways, especially by enabling remote work. Many companies have chosen to be remote first. At Quizizz, we work best in the office brainstorming using whiteboards, having conversations over coffee/walks, or overhearing a hallway conversation. Learning happens through osmosis. We understand that driving/ubering takes work in Bangalore. We’ll take care of the commute for you.

Beyond taking care of commute, we will cover health care benefits for you, your family, and your parents. We invest in our employee’s health and wellness. Through books and courses, we invest in their learning and development. Oh, and finally, we have healthy lunches, dinners, and a stocked pantry to snack on all day.

Benefits

• Flexible leave policy. Take time off when you need it.
• Comprehensive health coverage of Rs. 6 lakhs, covering the employee and their parents, spouse and children. Pre-existing conditions are covered from day 1, and also benefits like free doctor consultations and more.
• Relocation support including travel and accommodation, and we'll also pay for a broker to find your home in Bangalore!
• Rs. 20,000 annual health and wellness allowance.
• Professional development support. We will reimburse you for relevant courses and books that you need to become a better professional.
• Delicious Meals including breakfast and lunch served at office, and a fully-stocked pantry for all your snacking needs.

Quizizz is an equal opportunity employer and we believe diversity is key to our success.