Machine Learning Engineer

Sorry, this job was removed at 01:46 p.m. (CST) on Thursday, Aug 08, 2024
Hiring Remotely in United States
Remote
5-7 Years Experience
Cloud • Edtech • Information Technology • Software
We help thousands of organizations upskill and transform at scale.
The Role

Job Description:
Job Summary
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.
Duties/responsibilities

  • 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.


Minimum qualifications/skills

  • 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.


Preferred qualifications/skills

  • Ideal experience in using machine learning in the context of recommendations and/or personalization.
  • Experience with Typescript.


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 the Team is Saying

Heather (she/her)
Hannah Aldine (she/her)
The Company
HQ: Draper, Utah
1,700 Employees
Hybrid Workplace
Year Founded: 2004

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.

Typical time on-site: Not Specified
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