Machine Learning Engineer, Pluralsight

• Requires a minimum of 5 years of related or equivalent experience; or 3+ years with an advanced degree
• You have a passion to use machine learning to deliver product personalization at scale and the skills to go with it
• You have at least a year of experience building production machine learning systems services as part of a product development team, ideally in the context of recommendations and/or personalization
• You have worked in a collaborative development environment and have experience with continuous integration and delivery
• You are an experienced Python developer, know your way around TensorFlow or another deep learning framework, and are proficient with data structures and database fundamentals
• You have a solid base in Computer Science and Applied Mathematics, including an understanding of the fundamentals of Machine Learning. Regardless of your formal training, you get excited about reading up on modern machine learning techniques and applications
• You care about writing good code and building great software. You understand the trade-offs when we have to move faster, but you know what quality means and how to get there when we need to
• You are comfortable moving up and down the stack. It matters less that you know the exact frameworks and tools that we use, but you must be willing and able to learn very quickly
• You have the ability to explain machine learning solutions to developers and other team members, regardless of their technical background

Desirable

• In this role you will be a part of a product development team that delivers personalized experiences to Pluralsight's learners
• You'll help our learners discover content that is relevant to their interests and goals, provide them with a homepage tailored just to their needs, and ensure they are receiving the right communication and assistance with their learning journey at the right time
• You’ll be a part of a team that is user focused, has a mentality for experimentation, and iterates quickly
• As a machine learning engineer, your expertise will be vital to solving sophisticated problems and building the algorithms and frameworks that accelerate our personalization capabilities
• Develop robust, scalable production ML systems using technologies such as Python, Tensorflow, Airflow, Kafka, PostgreSQL, Redis, AWS
• Evaluate 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, providing valuable input into functional design and usability
• Evaluate the efficiency of user experiences and ML algorithms, determining what data is needed and how to collect it, with an understanding of how these metrics are connected to desired business outcomes