Machine Learning Engineer -Experimentation - FARFETCH

Location
PT Porto
Posted
26 Jan 2022
Closes
02 Mar 2022
Ref
c4e836c4-6298-4d79-a756-3c204da33d00
Function
Technology
Level
Manager
Hours
Full Time
FARFETCH exists for the love of fashion. Our mission is to be the global platform for luxury fashion, connecting creators, curators, and consumers.

We're a positive platform for good, bringing together an incredible creative community made up of our people, our partners, and our customers. This community is at the heart of our business success. We welcome differences, empower individuality and celebrate diverse skills and perspectives, creating an inclusive environment for everyone. We are FARFETCH for All.

DATA

We're a Data team that does it all: big data engineering, machine learning, and deep-dive analytics and insight. We're a diverse, global team that creates Data solutions to provide an unrivaled customer experience. Whether it's churning gigabytes of e-commerce data, using AI to recommend the latest trends, or understanding our customers better than anyone else, we use data to promote FARFETCH's growth.

PORTO

Our Porto office is located in Portugal's vibrant second city, known for its history and its creative yet cozy environment. From Account Management to Technology and Product, whatever your skills are, you'll find your fit here. You can have an informal meeting in the treehouse or play the piano during your lunch break!

THE ROLE

The Experimentation team provides statistical advice, technical support, and visualizations on test results to support decisions to roll out or iterate. We know that our ability to make scientifically-informed, rapid iterations is essential to our success, and we're looking for an ML engineer to drive product evolution in experimentation. Reporting to the Head of Data Science, you will work with the data science team to deploy the existing experimentation framework in a production environment. You would then keep the system online and providing production support to the platform. You will be a bridge between the data science team and the engineering teams in our experimentation platform.

WHAT YOU WLL DO

    • Design model serving solutions and develop machine learning-based applications, services, and APIs so as to production machine learning models;
    • Set and maintain engineering standards while growing and going far;
    • Partner with the Data Scientists (those who actually build, train, and evaluate (ML models) to provide an end-to-end solution for machine learning-based projects;
    • Foster the technological evolution of services and improve their end-to-end quality attributes;
    • Be committed to Continuous Integration and Continuous Deployment.


WHO YOU ARE

    • BSc in Computer Science or a similar field, with a very solid Python programming experience. Scala ;
    • Familiarity with the engineering aspects of some of popular machine learning practices, libraries, and platforms (e.g. MLflow, Kubeflow, Mleap, Michelangelo, Feast, HopsWorks, MetaFlow, Zipline, Databricks, Spark, MLlib, PyTorch, TensorFlow, and Scikit-learn among others);
    • Comfortable dealing with trade-offs project delivery and quality, especially those involving latency, throughput, and transactions;
    • Experience Continuous Integration & Continuous Deployment processes and platforms, software design patterns, and APIs;
    • A person that enjoys staying on top of all the best practices and tools of modern software engineering, while being an advocate of code quality and continuous improvement;
    • Someone interested in large-scale systems and passionate about solving complex problems while being open and comfortable with changes in the tech stack the teams use;
    • Not afraid of failing, because we challenge assumptions and push boundaries
    • since we have a culture of experimentation and learning from our mistakes so that we improve!


REWARDS & BENEFITS

    • Health insurance for the whole family, flexible working environment, and well-being support and tools
    • Extra days off, sabbatical program, and days for you to give back to the community
    • Training opportunities and free access to Udemy
    • Flexible benefits program
    • FARFETCH Equity plan
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