Machine Learning Engineer, Search and Ranking Systems at Farfetch

Porto, Porto District, Portugal

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Luxury Fashion, E-commerceIndustries

Requirements

Skilled software engineer with a passion for machine learning and proven experience building and deploying end-to-end ML-powered products in a production environment
Proficient in Python and modern software engineering practices, including version control (Git), CI/CD, dependency management, and automated testing
Experienced with distributed data processing, with hands-on experience writing and optimizing complex data pipelines using Spark/PySpark
Comfortable in a cloud-native environment, with practical experience with a major cloud platform (Azure, GCP, or AWS) and its data services
Excellent collaborator and communicator, able to work effectively in a cross-functional team of technical and non-technical members
Nice to have: Deep expertise with the Databricks platform, including Delta Lake, MLflow, and model serving
Nice to have: Experience with containerization technologies like Docker and orchestration with Kubernetes
Nice to have: Experience with Redis, particularly in high-throughput caching or as a low-latency feature store
Nice to have: Experience with Apache Airflow or similar workflow orchestration tools for managing complex workflows

Responsibilities

Design, build, and deploy robust, end-to-end MLOps pipelines on Databricks for complex models, including NLP and multimodal systems
Architect and manage large-scale data flows using PySpark, pulling from diverse sources like Azure Data Lake Storage (ADLS) and Google BigQuery to fuel model training and inference services
Develop and maintain scalable APIs and services that can handle millions of requests daily to serve model predictions, ensuring high availability and low latency
Champion engineering best practices by writing clean, tested, and maintainable code, and developing reusable libraries and frameworks that accelerate the team's delivery
Implement comprehensive monitoring and alerting for model performance and data drift to ensure systems remain accurate and reliable over time

Skills

Key technologies and capabilities for this role

Machine LearningSearch SystemsRanking SystemsRetrieval ModelsMultimodal ModelsScalable AIProduction ML

Questions & Answers

Common questions about this position

What is the work location for this Machine Learning Engineer role?

The office is near Porto, in the north of Portugal, located in a vibrant business hub.

What salary or compensation does this position offer?

This information is not specified in the job description.

What key skills are required for this Machine Learning Engineer position?

Required skills include building and deploying end-to-end MLOps pipelines on Databricks for NLP and multimodal systems, architecting large-scale data flows using PySpark from sources like Azure Data Lake Storage and Google BigQuery, and developing scalable APIs for model predictions.

What is the team structure like for this role?

You will work within a dynamic, interdisciplinary team of software engineers, data scientists, and machine learning engineers.

What makes a strong candidate for this Machine Learning Engineer role?

A strong candidate is a skilled software engineer with a passion for machine learning and proven experience building and deploying end-to-end ML pipelines.

Farfetch

Online marketplace for luxury fashion items

About Farfetch

Farfetch operates as a global online marketplace for luxury fashion, linking high-end brands and boutique retailers with consumers. The platform allows users to browse and purchase a wide range of luxury items, ensuring that both brands and retailers can reach a worldwide audience. Farfetch's business model is centered around facilitating these transactions, earning revenue primarily through commissions on sales made through its site. Additionally, it offers services like digital marketing and logistics to help its partners enhance their online presence. A distinguishing feature of Farfetch is its acquisition of LUXCLUSIF, a luxury resale platform, which enables it to cater to the growing demand for pre-owned luxury goods. The company's goal is to provide a seamless shopping experience for luxury fashion enthusiasts while supporting brands and retailers in expanding their reach.

London, United KingdomHeadquarters

2007Year Founded

$682.9MTotal Funding

IPOCompany Stage

Consumer Software, Consumer GoodsIndustries

1,001-5,000Employees

Benefits

Health Insurance

Flexible Work Hours

Employee Pension Scheme

Risks

Increased competition from Mytheresa could impact Farfetch's market share.

Farfetch faces challenges in maintaining its presence in the Chinese market.

The sale to Coupang indicates potential financial instability for Farfetch.

Differentiation

Farfetch connects luxury brands and consumers through a unique online marketplace.

The platform offers modular, API-enabled technology for luxury fashion brands.

Farfetch provides commerce solutions, enhancing brands' online presence and sales.

Upsides

Virtual try-on technology is gaining popularity in luxury fashion.

Farfetch can capitalize on Yoox Net-A-Porter's exit from China.

Exclusive partnerships, like with Officina Bernardi, enhance Farfetch's offerings.

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