- A degree in CS is preferred. Completion of Computer Science or other relevant MOOCs will also be helpful.
- Experience with big data systems such as Hadoop, Spark, Nifi, Storm, HDFS, NFS, Lustre, Presto, Hive, AWS Redshift, AWS Athena.
- Experience leading an engineering team
- Experience with industrial data-driven/AI/Machine learning projects
- Strong willingness to help junior engineers
- Mandarin (Chinese) fluency is a plus
Strong work ethic. All of us believe in our work’s ability to change human lives, and consequently work not just smart, but also hard. It’s not unusual to see some team members in the office late into the evening; many of us routinely work and study 70+ hours a week.
Growth mindset: We are eager to teach you new skills and invest in your continual development. But learning is hard work, so this is something we hope you’ll want to do.
Good team member: We care and watch out for each other. We’re humble individually, and go after big goals together.
Flexibility: Since we’re an early stage company, you should be flexible in your tasks and do whatever is needed, ranging from dirty work like data cleaning, to high-level work like algorithm design.
