Job Description:
The Opportunity
We are looking for an experienced Machine Learning Engineer, Data Engineer, or Backend Engineer to join a product development team that delivers personalized experiences to Pluralsight's learners. The team is led by senior Machine Learning and Data Science engineers, so it is a great opportunity for someone looking to transition into a full-time Machine Learning Engineer role or continue advancing their Machine Learning Engineering skills.
You'll help our learners discover content that is relevant to their interests and goals, provide them with a homepage tailored to their needs, and ensure they are receiving the right communication at the right time during their learning journey. You'll be a part of a dynamic team that is user-focused, values experimentation, and iterates quickly.
Experience you'll need:

• You have a passion for using Machine Learning to deliver product personalization at scale.
• You are an experienced Python or Node.js developer with significant hands-on knowledge of data structures and database fundamentals. Your ability and eagerness to learn is more important than knowing the exact tools and frameworks we use.
• You have a solid foundation in Computer Science and Math, as well as an understanding of the fundamentals of Machine Learning.
• You have completed one of the following:
• 2 years building production Machine Learning systems
• 3 years building production Data Engineering pipelines
• 3 years building production Backend Systems
• You have worked in a collaborative development environment that included hands-on interaction with CI/CD pipelines.
• You care about writing scalable and readable code using Test Driven Development.
• You can effectively communicate complex technical information to non-technical audiences.

What you'll own:

• Work across a tech stack that includes Python, Tensorflow, Airflow, Kafka, NodeJS, TypeScript, SQL, AWS, Kubernetes, Dask.
• Develop robust, scalable production recommendation systems.
• Evaluate engineering trade-offs and do performance tuning for production traffic.
• Work closely with Data Scientists to take prototype algorithms and models and turn them into customer-facing solutions.
• Use your engineering expertise to help build solutions to novel problems in software development, Data Engineering, and Machine Learning.
• Build data pipelines. Transform and convert data streams into structures needed for algorithm input.
• Collaborate with Product Managers and UX Designers to better understand the customer, provide actionable insights about design and usability, and plan experiments.
• Evaluate the effectiveness of user experiences and Machine Learning algorithms, determining what data is needed and how to collect it.

Who you are committed to being:

• Attentive to Detail - We take pride in the craft of our work.
• Test Driven Developer - We maintain a suite of good tests for all production code.
• Collaborative - Pair & mob programming are core to our engineering culture.
• Agile - We reduce the time to learn by having short feedback loops.
• Autonomous & Accountable - We're empowered to make product and engineering decisions to achieve our goals.
• Creative - Requirements and solutions are developed at the team level.
• Customer Focused - We do the research to learn what our customers want and then build it.

#LI-SK