Job Description:
Job Summary
A Machine Learning Engineer helps our learners discover content that is relevant to their interests and goals, providing them with experiences tailored just to their needs, and ensure they are receiving the right communication and assistance with their journey at the right time. They develop robust, scalable production machine learning algorithms and recommendation systems.
Duties/responsibilities
- Work closely with Data Scientists to take prototype algorithms and models and turn them into customer-facing solutions
- 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 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 with the desired outcomes
Minimum qualifications/skills
- Experience building production machine learning systems services as part of a product development team
- Experience in Python, TensorFlow, and proficiency in data structures and database fundamentals
- Experience building good code with speed and efficiency and balancing the trade-offs of quality vs speed
- Ability to explain machine learning solutions to developers and other team members, regardless of their technical background
- Experience working with continuous integration and delivery
Preferred qualifications/skills
- Ideal experience in using machine learning in the context of recommendations and/or personalization.
- Experience with Node and Typescript preferred
Education and experience requirements
- Requires a minimum of 5 years of related or equivalent experience; or 3+ years with an advanced degree
Physical and Mental requirements
Work is performed in an office (or home office) environment and requires the ability to operate standard office equipment and keyboards. Sedentary work. Repetitive work. Substantial movements (motions) of the wrists, hands, and/or fingers. The worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading.
EEOC Statement
Bring yourself. Pluralsight is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, age or protected veteran status. Pluralsight will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please visit the bottom of our website to learn how to request an accommodation.
For more information on Pluralsight's commitment to building a more diverse and inclusive workforce, please review our most recent Diversity, Equity, Inclusion and Belonging report here.
What We Do
Pluralsight is the leading technology workforce development organization that helps companies and teams build better products by developing critical skills, improving processes and gaining insights through data, and providing strategic skills consulting.
Why Work With Us
We’re out to help every technologist build better, and we’re looking for curious, talented people to join us in advancing the world’s technology workforce. Our culture of autonomy, continuous learning, and collaboration creates an environment for growth and empowers us to drive impact through innovation.
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Pluralsight Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.