Machine Learning Engineer at Smule
San Francisco, CA, US

The Smule mission is to connect people all over the world through the joy of making music at massive social scale. Music is much more than just listening… It's about creating, sharing, discovering, participating, and connecting with people. It is a social network with the power to break down barriers, touch souls and bring people together from all over the world.

As a machine learning engineer/scientist, you will be hands-on in designing models/algorithms, solving technical problems, and building/improving production recommender systems. You will work on various data products and services by leveraging our demographic, transactional, behavioral, social, text, and audio/video data.

Your work will directly impact the product experience of millions of users. You should be strong in coding, distributed computing, and machine learning techniques. You will work with a group of talented, open-minded fellow engineers/scientists on challenging problems and focus on delivering business impact.

Requirements

Excellent working attitude: can do whatever it takes to get things done, eager to learn and grow with the team and the company, a team player

Strong ownership and result-driven

Solid programming skills (python and scala)

1+ years experience in machine learning

Familiarity with big data stacks: Hadoop/Hive/Spark/Kafka or similar tools, etc.

Good sense in data-driven analysis and diagnosis

Experience in recommender systems, a plus

BS/Masters/PhD degree in STEM field