Search Senior Machine Learning Engineer (London, Belgrade, Berlin) at Perplexity AI

Belgrade, Serbia

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

Deep understanding of search and retrieval systems, including quality evaluation principles and metrics
Proven track record with large-scale search or recommender systems
Self-driven, with a strong sense of ownership and execution
Minimum of 5 years of working on search or recsys-related projects

Responsibilities

Relentlessly push search quality forward—through models, data, tools, or any other leverage available
Architect and build core components of our search platform and model stack
Train and evaluate retrieval, ranking and classification models, including LLMs
Deploy models - from boosting to LLMs - in a scalable and performant way
Build and optimize RAG pipelines for grounding and answer generation
Collaborate with Data, AI, Infrastructure and Product teams to ensure fast and high quality delivery

Skills

Key technologies and capabilities for this role

Machine LearningRetrieval SystemsRanking ModelsLLMsRAG PipelinesSearch Quality EvaluationRecommender SystemsModel TrainingModel DeploymentScalable Systems

Questions & Answers

Common questions about this position

What benefits are offered for this position?

Comprehensive health, dental, and vision insurance for you and your dependents, plus a 401(k) plan, are provided.

Is this a remote or hybrid role, and where are the locations?

This is a hybrid position available in London, Belgrade, or Berlin.

What skills and experience are required for this Senior Machine Learning Engineer role?

A deep understanding of search and retrieval systems including quality evaluation principles and metrics, proven track record with large-scale search or recommender systems, and minimum of 5 years working on search or recsys-related projects are required.

What is the compensation structure, including salary and equity?

Final offer amounts are determined by multiple factors including experience and expertise, and equity may be part of the total compensation package in addition to base salary. Specific salary ranges are not provided.

What qualities make a strong candidate for this role?

Candidates with a self-driven nature, strong sense of ownership and execution, and at least 5 years of experience in search or recsys projects stand out.

Perplexity AI

Advanced answer engine providing reliable information

About Perplexity AI

Perplexity AI provides an advanced answer engine that delivers accurate and reliable responses to user queries. The platform uses current sources to ensure the information is both precise and relevant. It caters to a wide audience, including individuals looking for quick answers and businesses needing detailed information. Unlike many competitors, Perplexity AI emphasizes high-quality, source-backed answers, making it a valuable resource for users seeking trustworthy data. The company's goal is to meet the increasing demand for immediate access to reliable information, generating revenue through subscription fees, advertising, and partnerships.

San Francisco, CaliforniaHeadquarters

2022Year Founded

$890MTotal Funding

LATE_VCCompany Stage

Data & Analytics, Consumer SoftwareIndustries

201-500Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Company Equity

Risks

Pending copyright infringement class action poses legal and financial challenges.

Competition from Google's AI Mode could impact user retention and market share.

Otterly.AI's brand visibility tool may pressure Perplexity to maintain high performance.

Differentiation

Perplexity AI integrates large language models with search engines for precise responses.

The platform offers an open-source environment, enhancing public access to AI tools.

Perplexity's strategic acquisition of Carbon boosts its data connectivity capabilities.

Upsides

Partnership with Tripadvisor enhances travel planning with personalized recommendations.

$500M funding round increases valuation to $9 billion, supporting growth and innovation.

Integration with FactSet attracts financial clients with enhanced data accessibility.

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