Zalando

1 week ago

Principal Applied Scientist / Lounge by Zalando (all genders)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Build and scale AI-powered recommendation and agentic experiences for a customer-facing fashion assistant and personalized landing pages. Define evaluation frameworks, translate ambiguous business goals into applied research, and lead end-to-end model strategy from problem formulation to training and inference. Develop LLM API-based solutions, improve ML apps, and ship production-quality software at fast pace alongside engineers.

Location: Anywhere

Workplace: Hybrid

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Use LLM APIs to build the ideal fashion assistant for customers.
•Develop and improve machine learning applications, including personalized recommendation systems, to enhance browsing and communication.
•Translate ambiguous business challenges into research questions and lead applied science strategy (model selection, problem formulation, training and inference).
•Develop and implement evaluation frameworks to measure impact, analyze customer behavior, and evaluate business performance.
•Use AI coding tools to deliver production software quickly in collaboration with engineers.

Pay and Benefits

Perks:Paid LeaveRemote WorkRelocationEquityGym Membership

Key Requirements

•3+ years building and deploying scalable recommendation or search solutions for production use cases.
•5+ years of software engineering experience using Python.
•Strong ML/statistics foundation with proven ability to solve real-world problems via empirical science and online A/B testing.
•Deep learning and ranking experience (e.g., gradient boosting trees, vector search), ideally with PyTorch, TensorFlow, CatBoost, and FAISS.
•Hands-on experience deploying ML to production at scale, especially for real-time APIs using tools such as Databricks, Spark, Flink, Beam, SageMaker, Kubernetes, and REST APIs.

Experience:5+ yearsE-commerceSaaS

Skills:CodingEnd-to-end problem solvingEmpirical experimentationCollaborationDecision making

Tech Stack:PythonLLM APIsPyTorchTensorFlowCatBoostFAISSDeep learningGradient boosting treesVector searchDatabricksSparkFlinkBeamSageMakerKubernetesREST APIsOnline A/B testing

Company Brief

Zalando

Zalando operates a leading European online marketplace for fashion and lifestyle products, offering clothing, shoes and accessories from international brands and local labels, plus logistics and marketing services to partner brands and retailers.

Industry: Online Marketplaces

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Berlin, Germany

Founded: 2008

Website LinkedIn

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Zalando

1 week ago

Principal Applied Scientist / Lounge by Zalando (all genders)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Anywhere

Workplace: Hybrid

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Use LLM APIs to build the ideal fashion assistant for customers.
•Develop and improve machine learning applications, including personalized recommendation systems, to enhance browsing and communication.
•Translate ambiguous business challenges into research questions and lead applied science strategy (model selection, problem formulation, training and inference).
•Develop and implement evaluation frameworks to measure impact, analyze customer behavior, and evaluate business performance.
•Use AI coding tools to deliver production software quickly in collaboration with engineers.

Pay and Benefits

Perks:Paid LeaveRemote WorkRelocationEquityGym Membership

Key Requirements

•3+ years building and deploying scalable recommendation or search solutions for production use cases.
•5+ years of software engineering experience using Python.
•Strong ML/statistics foundation with proven ability to solve real-world problems via empirical science and online A/B testing.
•Deep learning and ranking experience (e.g., gradient boosting trees, vector search), ideally with PyTorch, TensorFlow, CatBoost, and FAISS.
•Hands-on experience deploying ML to production at scale, especially for real-time APIs using tools such as Databricks, Spark, Flink, Beam, SageMaker, Kubernetes, and REST APIs.

Experience:5+ yearsE-commerceSaaS

Skills:CodingEnd-to-end problem solvingEmpirical experimentationCollaborationDecision making

Tech Stack:PythonLLM APIsPyTorchTensorFlowCatBoostFAISSDeep learningGradient boosting treesVector searchDatabricksSparkFlinkBeamSageMakerKubernetesREST APIsOnline A/B testing

Company Brief

Zalando

Industry: Online Marketplaces

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Berlin, Germany

Founded: 2008

Website LinkedIn