Senior Machine Learning Engineer

ApplyBoard simplifies the study abroad search, application, and acceptance process by connecting international students, recruitment partners, and academic institutions on one platform. With an exceptional team from around the world and speaking more than 75 languages, our diversity is one of our greatest strengths. Our core values, such as Caring About Each Other, Innovating and Improving, and Making Work Fun, propel us forward together and continuously strengthen our engaging culture. We are in growth mode and are looking to empower passionate and exceptionally talented team members.

As part of the ApplyBoard Data Science team, your mission is to help develop and productionize ML services and capabilities that help other teams to advance their services for our customers. You will be a senior member of a team that contributes to making the product better and automates manual processes through ML. As a Machine Learning Engineer, you value collaboration and nurture innovation while working in an energetic team. Your strong foundation in productionizing machine learning models will be valuable in enabling a data-driven culture company-wide. You are expected to work on continuous improvement of our best practices for ML services and ensuring that our models are accurate and reliable.

What you’ll be doing every day:

• Present model capabilities and output to senior leadership
• Document model characteristics and performance
• Developing, improving, and productionizing machine learning and other models
• Collaborate with data scientists and data engineers to integrate different parts of the product
• Design the end-to-end ML model lifecycle from ETL to model deployment in production environments.

What you bring to the table:

• Experience with one of the Infrastructure as Code tools (Terraform, AWS CDK, etc)
• 5+ years of experience as back-end software engineer
• In-depth understanding of researching, designing, developing, and deploying ML systems
• Strong analytical skills
• Familiarity with ML frameworks and libraries
• 3+ years of experience in productionizing machine learning (ML) systems
• Hands-on experience of deploying ML models/systems to cloud infrastructure
• Training and retraining ML systems and models as needed
• Proficient in Python and SQL/Pandas
• Driven, passionate and creative, and thrives in a fast-paced agile environment
• Serverless app deployment in AWS
• Performing statistical error analysis and using results to improve models
• Ability to communicate effectively with people who are both highly technical, and non-technical alike

Ideally, you also have:

• Microservices, Kinesis, Kafka
• Docker, Kubernetes, New Relic
• AWS SageMaker, Redshift, Lambda, Step function, Glue, API Gateway, CDK

#Remote

Life at ApplyBoard:

By joining our team, you have the opportunity to:

• Join the fastest-growing technology company in Canada, with many opportunities for growth and advancement
• Want to learn more about ApplyBoard, read our Life at ApplyBoard Blog, and be sure to follow us on our LinkedIn page.
• Work alongside a globally diverse team of over 1,500 team members based in over 25 countries, who speak more than 75 languages.
• Make a difference in the lives of thousands of students as they explore educational opportunities

About ApplyBoard

ApplyBoard empowers students around the world to access the best education by simplifying the study abroad search, application, and acceptance process to more than 1,500 institutions across Canada, Australia, the United States, and the United Kingdom. ApplyBoard, headquartered in Kitchener, Ontario, Canada, has helped more than 300,000 students from more than 125 countries along their educational journeys since 2015.

ApplyBoard was named the fastest-growing technology company in Canada by Deloitte, ranking #1 on the Technology Fast 50™ list in 2019 and #2 in 2020.

ApplyBoard was also been named to LinkedIn’s list of Top Startups in 2020 and 2021 and TechTO’s list of top Canadian Rocketship companies to accelerate your career in the Tech Industry.

In 2021, ApplyBoard announced a C$375M Series D funding on a C$4B valuation. This funding will allow us to further invest in our technology, grow our team around the world, and serve more students on our mission to educate the world. Thank you for your interest in ApplyBoard. Please note that only qualified applicants that have been selected for an interview will be contacted.

ApplyBoard is committed to providing an inclusive and diverse workplace and is an equal opportunity employer. If you require any accommodations or assistance during the recruitment process, please let us know.