Senior AI/ML Engineer

Nivoda

. Build and operate search infrastructure to power ranking and multi-modal search across Nivoda’s marketplace .

Posted 10/11/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating search infrastructure, including ranking and recommendation systems, with a strong focus on machine learning model lifecycle management and evaluation. Proficient in low-latency, real-time model-serving systems and information retrieval technologies.

Highest-signal resume keywords

Information Retrieval Infrastructure ExperienceApplied ML Experience for Ranking and RecommendationsProduction NLP and LLM Application ExperienceLow-Latency Serving ExperienceSearch and Ranking Evaluation Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningRanking SystemsRecommendation SystemsInformation RetrievalPrompt DesignImage EmbeddingsEvaluation MetricsModel DeploymentModel MonitoringCollaborative Filtering

Tools & Technologies

ElasticsearchOpenSearchVespaPgvectorPineconeWeaviateAI Coding Agents

Industry Keywords

Marketplace SearchE-commerce SearchConversational SearchMulti-Tenant Configurable SystemsComputer Vision Fundamentals

Tech Stack

Tools & technologies

ElasticSearch

About the role

Key responsibilities & impact

Build and operate search infrastructure to power ranking and multi-modal search across Nivoda’s marketplace
Design multi-tenant, configurable ranking and recommendation systems for Nivoda’s marketplace and individually branded jeweller storefronts
Build and improve contextual search and a planned conversational assistant using prompt design and retrieval-augmented approaches
Build image-to-attribute and image-to-product-match pipelines using image embeddings
Design recovery paths and confirmation steps for probabilistic systems before high-stakes actions
Define and run search- and ranking-specific evaluations, including offline ranking metrics and interleaving experiments
Evaluate and stress-test foundation model and LLM output
Own the full lifecycle of ranking and recommendation models, from features and training through evaluation, deployment, and monitoring
Design and optimize low-latency, real-time model-serving systems under production load
Use AI coding agents to build ML infrastructure and pipelines with rigorous evaluation harnesses
Work in the Discovery Pod building ranking, recommendations, search input, contextual search, conversational search, and image-upload search for a global jewellery marketplace

Requirements

What you’ll need

5–10 years of experience
Information retrieval infrastructure experience with Elasticsearch/OpenSearch, Vespa, or vector-search databases such as pgvector, Pinecone, or Weaviate
Applied ML experience for ranking and recommendations, including learning-to-rank, embedding-based retrieval, and collaborative filtering
Experience owning features, training, evaluation, deployment, and monitoring of ML models
Production NLP and LLM application experience, including prompt design, retrieval-augmented approaches, and handling zero-result and tradeoff scenarios
Low-latency serving experience with real-time model-serving systems under production load
Search and ranking evaluation skills, including offline ranking metrics and interleaving experiments
Hands-on experience with foundation models and LLMs, including evaluating and stress-testing model output
Experience designing graceful failure handling for probabilistic systems
Comfort using AI coding agents to build ML infrastructure and pipelines, with strong evaluation and testing discipline
CV in English
Nice to have: computer vision fundamentals and image embeddings
Nice to have: multi-tenant configurable system design experience
Nice to have: conversational or assistant-style search product experience
Nice to have: marketplace or e-commerce search, ranking, or recommendations experience

Benefits

Comp & perks

Flexible working hours
Remote-first culture
Real opportunities for growth and learning
Unlimited holiday allowance
Opportunity to join during an exponential expansion phase