Machine Learning Engineer III Full-time

Condé Nast is a global media company producing the highest quality content with a footprint of more than 1 billion consumers in 32 territories through print, digital, video and social platforms. The company’s portfolio includes many of the world’s most respected and influential media properties including Vogue, Vanity Fair, Glamour, Self, GQ, The New Yorker, Condé Nast Traveler/Traveller, Allure, AD, Bon Appétit and Wired, among others.

Job Description

Location:
London, GB

Condé Nast is a global media company, home to iconic brands including Vogue, GQ, Glamour, AD, Vanity Fair and Wired, among many others. Our award-winning content reaches 84 million consumers in print, 367 million in digital and 379 million across social platforms, and generates more than 1 billion video views each month.

We are headquartered in London and New York, and operate in 31 markets worldwide, including China, France, Germany, India, Italy, Japan, Mexico & Latin America, Spain, Taiwan, the U.K. and the U.S., with local licence partners across the globe.

What will you be doing?

• Participate in model design, optimization, testing, quality assurance, and defect resolution
• Design and implement scalable systems to convert large volumes of data into useful model features, reports, and datasets
• Deliver and orchestrate machine learning infrastructure within production environments
• Collaborate with Engineers and Scientists to architect and implement a shared vision
• Participate in the entire software development lifecycle, from concept to release
• Provide technical expertise to junior team members

Who you are:

• Applicants should have a degree (M.S or Ph.D. preferred) in Computer Science or a related discipline or relevant professional experience
• Years of software development experience designing scalable systems related to machine learning or more general statistical analysis
• Strong software development skills with proficiency in Python or C++
• Experience with analytics frameworks such as Pandas, Apache Spark, Dask, or Flink
• Experience with machine learning frameworks such as TensorFlow, JAX, PyTorch, Spark MLlib, Keras, or scikit-learn
• Experience in cloud-based infrastructures such as AWS or GCP
• Exposure to orchestration platforms such as Apache Airflow or Kubeflow
• Proven attention to detail, critical thinking, and the ability to work independently within a cross-functional team

What benefits do we offer?

• Condé Nast Learning Hub where you’ll find you’ll find all Condé Nast-developed learning courses and trainings, and over 16,000+ courses in seven local languages
• 25 days holiday and extra days of annual leave life events like moving house or wanting to volunteer with a charity
• Hybrid working and core hours
• Competitive pension scheme
• Bupa Private Healthcare
• Season ticket loans
• Cycle to work
• Employee Assistance programme
• Bring your dog to work
• A wide variety of wellness benefits including gym discounts
• Discounts and Magazine Subscriptions
• Employee Resource Groups to provide a platform for employees to identify shared objectives, exchange ideas, and work on community priorities for our global workforce

What happens next?

If you are interested in this opportunity, please apply below, and we will review your application as soon as possible. You can update your resume or upload a cover letter at any time by accessing your candidate profile.

Condé Nast is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, familial status and other legally protected characteristics.