Change.org is searching for a Data Engineer to help in the development of our next-generation ML platform to support all of our internal machine learning operational needs at large scale.
We’re a social impact business (a public benefit company), and the world's largest non-profit owned tech platform focused on civic action with 80m monthly users, 750,000 campaigns launched on the site every month, and a revenue model that has grown considerably over the last few years.
We were recently named as a finalist for Fast Company’s 2022 World Changing Ideas Company of the Year, a finalist for the Employee Size: Midsize (100-999 employees) category AND received an honorable mention for the Change.org Racial Justice Fund in the General Excellence and Corporate Social Responsibility categories.
We are looking for a Data Engineer who has a passion to learn and build ML workflow orchestration & distributed data processing at scale. You will make a real impact by working on an ML platform to mobilize hundreds of millions of people to take deeper civic action.
You will report to our Engineering Manager, Balaji Chandramohan. As a key member of our ML&AI Pack, you’ll be building core functionalities of our machine learning platform, and empower us to rapidly build and deploy Content Understanding, Recommendation Services and democratized access to ML for all staff.
You’re a perfect fit for this role if you are hungry, smart and can learn from smart engineers in the company. You will get to learn how to build complex machine learning workflows using Kubernetes, developing high-quality reliable distributed computation code; engineering craftsmanship with excellent coding skills in Scala, Java or Python.
- Create ML pipelines using container native workflow orchestration.
- Build centralized featureset store for both online and offline training
- Support and improve our recommendation pipelines and platform utilizing Spark & (Scala / Python), tooling and integrations with cloud services
- Work alongside a team of data scientists, research engineers and machine learning engineers to help with the deployment and serving of models which are easy to maintain, scale, monitor and debug
- Respond to on-calls and alerts on our live pipelines
- Participate in discussions, team rituals and be an amplifier to the work of the team
Interested? Great! Here's what you should know:
This is a full-time role and eligible for Remote US/Canada. Our team is high impact, low ego, and has an amazing culture to be part of.
We especially encourage applicants of different backgrounds, cultures, genders, experiences, abilities and perspectives to apply. We're actively working to increase the diversity of experience and perspectives on our team and are looking for someone who can help continue to lead that process.
Change.org is committed to being a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, or disability or veteran status.
We are legally required to conduct EEOC reporting. While this is required by the federal government, we recognize that it does not include all genders and ethnicities. We want you to know that Change.org celebrates all identities and we thank you for your participation.