Research, Singapore

Exa
Singapore
Workplace: OnsiteFull timeSGD 90,000 - 300,000 annuallyFunction: Research & Scientific (R&D)Skills: ["Problem-solving","Attention to data","Research-minded","Iteration","Quality-focused"]

Build and train embedding models that power Exa’s search over the entire web. Design novel transformer-based search architectures, create large-scale datasets, and develop evaluation systems to measure and improve search quality. Drive progress by beating internal state-of-the-art results and iterating on model training and retrieval performance as part of the core ML organization.

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FursaFursa
Exa
Exa
2 days ago

Research, Singapore

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Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Build and train embedding models that power Exa’s search over the entire web. Design novel transformer-based search architectures, create large-scale datasets, and develop evaluation systems to measure and improve search quality. Drive progress by beating internal state-of-the-art results and iterating on model training and retrieval performance as part of the core ML organization.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key Responsibilities

  • •Train embedding models for perfect search over the web.
  • •Dream up novel transformer-based search architectures.
  • •Create datasets for model training and experimentation.
  • •Create evaluation systems to measure search quality improvements.
  • •Drive iterations by beating internal SoTA and repeating the cycle.

Pay and Benefits

Salary: SGD 90,000 - 300,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionParental LeaveWellness Stipend

Key Requirements

  • •Graduate-level ML experience (or an exceptionally strong undergrad).
  • •Ability to code a transformer from scratch in PyTorch.
  • •Experience building large-scale datasets and working deeply with data.
  • •Strong motivation to improve the ability to find high-quality knowledge.
  • •Experience training/evaluating models and iterating to beat internal state-of-the-art results.
Experience:Applied AISearchMachine learningLarge-scale datasetsTransformersVector databases
Skills:Problem-solvingAttention to dataResearch-mindedIterationQuality-focused
Tech Stack:PyTorchTransformersEmbedding modelsRLAIFVector databases

Company Brief

Exa
Builds an embeddings-based neural search engine and web search API for AI applications, offering crawling, retrieval, and deep research tools to serve developers and AI agents with up-to-date web knowledge.
Industry: API Platforms
Company Size: Small (11 to 50 employees)
Growth: Scaleup
Valuation: USD 500M to 1B
Funding: Series B
Headquarters: San Francisco, United States
Founded: 2021
WebsiteLinkedIn