Research Engineer, Audio Understanding

Cartesia
California, San Francisco
Workplace: OnsiteFull timeUSD 180,000 - 250,000 annuallyFunction: Research & Scientific (R&D)Skills: ["Communication","Collaboration","Problem-solving","Attention to detail","Teamwork"]

Join Cartesia as a Research Engineer focused on building and evaluating large multilingual datasets to train global AI models. You’ll own data quality, implement scalable data-centric practices, and collaborate with product teams to support diverse languages and markets.

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Cartesia
Cartesia
7 months ago

Research Engineer, Audio Understanding

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Last checked: 1 hour agoStatus: Live

Job Summary

Join Cartesia as a Research Engineer focused on building and evaluating large multilingual datasets to train global AI models. You’ll own data quality, implement scalable data-centric practices, and collaborate with product teams to support diverse languages and markets.
Location: California, San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key Responsibilities

  • •Design and build large-scale datasets for model training, and run controlled modeling experiments to measure their impact on model performance and behavior.
  • •Build evaluations of speech models, both via manual annotation and at scale with automated metrics.
  • •Implement techniques for steering data generation to improve model intelligence through data and mitigate bias.
  • •Build automated quality control systems to validate and filter generated data
  • •Partner with product teams to ensure support for key languages and markets.

Pay and Benefits

Salary: USD 180,000 - 250,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVision401kRelocation

Key Requirements

  • •Experience building or working with large multilingual datasets.
  • •Experience with generative models (speech, text, or multimodal).
  • •Ability to help guide human annotation and evaluation across multiple languages.
  • •Strong applied ML background with a focus on data-centric approaches.
  • •Excitement for building scalable systems that bridge research and production.
Experience:Multilingual dataGenerative modelsApplied MLData-centric
Skills:CommunicationCollaborationProblem-solvingAttention to detailTeamwork

Company Brief

Cartesia
Builds real-time multimodal and voice AI (Sonic) that generates expressive, low-latency speech for conversational agents and on-device experiences, serving developers and enterprises with APIs and SDKs.
Industry: AI & Machine Learning
Company Size: Small (11 to 50 employees)
Growth: Growth Stage Startup
Funding: Series A
Headquarters: San Francisco, United States
Founded: 2023
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