Backend/Machine Learning Engineer

UPDATE: We've just filled this role, but Storytell is growing fast and we expect to be re-opening it as we grow. Please apply if you're interested and we'll reach out to you once we're in an active hiring mode again.

Which OKR(s) is this role tied to:

We drive alignment and focus via our Vision, Mission, Strategy and OKRs. Learn more.

• Create a top-notch product that users love.

• Build the infrastructure to provide north star metric for the whole company.

About the role:

The Backend/Machine Learning Engineer will focus on building the backend and machine learning systems. The person’s primary responsibility is to create infrastructure to support new product features and to improve and maintain the existing systems. The candidate should be extremely capable, willing to get their hands dirty, excited about joining an early-stage company, and thrives off of the pressures and challenges of working in an unstructured environment.

This role reports into: Jing Conan Wang, our CTO

Job responsibilities:

This is the scope of work the job entails — although we are all Crew, so we help each other succeed outside of these core responsibilities

• Primary responsibility is to create infrastructure to support new product features

• Responsibility to improve and maintain the existing systems.

Requirements for this role:

These are the minimum requirements we are looking for in this role

• 2+ years of work experience in a production software development environment or building data systems, or 1+ years of work experience plus a degree in ML, Engineering, Computer Science, or other relevant disciplines

• Experience with the design and architecture of large-scale ML Systems

• Experience building production-quality code incorporating testing, evaluation, and monitoring using object-oriented programming like Python/Java

• Comfortable with distributed systems, big data, and data-intensive systems

• Strong communication and teamwork skills

• Experience maintaining or developing applications using large-scale data stack, e.g, BigQuery, GraphQL, Kafka, Flink, Cassandra, Redis

• Passionate about productivity and storytelling

The ideal candidate also has:

The ideal candidate will also have these skills in addition to the minimums above

• 5+ years of work experience in a production software development environment or building data systems, or 3+ years of work experience plus a degree in ML, Engineering, Computer Science, or other relevant disciplines

• Be able to drive the design and implementation of a large-scale system from end to end

• Interest in advanced infrastructure for Deep Learning, NLP, or Recommender Systems

What does "Great" look like for this role?

This is how you'll know you're performing this job at a level of excellence

• Lives our Shared Values

• Be able to deliver and execute with minimal guidance

• Operate with a growth mindset

• Ability to balance speed with long-term thinking

• Proactively thinking about system improvement and unblocking fellow team members

• Has adaptability & change agility — this is an ever-changing role with many surprises in store!