Embedded Researcher

Percepta
New York
Workplace: OnsiteFull timeFunction: Research & Scientific (R&D)Skills: ["Communication","Collaboration","Problem-solving","Customer-facing","Presentation"]

Embedded Research Engineer/Scientist focused on advancing AI research for real-world production impact by working directly with customers to translate research into production features within the Mosaic platform, across post-training, RL, and agentic modeling.

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FursaFursa
Percepta
Percepta
7 months ago

Embedded Researcher

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 20 hours agoStatus: Live

Job Summary

Embedded Research Engineer/Scientist focused on advancing AI research for real-world production impact by working directly with customers to translate research into production features within the Mosaic platform, across post-training, RL, and agentic modeling.
Location: New York
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key Responsibilities

  • •Work directly with customers to identify high-impact research problems at the intersection of frontier AI capabilities and critical business needs.
  • •Design and execute research strategies across LLM post-training, RL, agentic modeling, and specialized model development that address customer-specific challenges.
  • •Prototype and scale training pipelines, experiment with model architectures, optimization techniques, and post-training strategies with rapid iteration cycles based on customer feedback.
  • •Conduct customer-facing evaluations at scale that demonstrate clear business value and drive adoption of AI systems in production environments.
  • •Translate ambiguous business problems into concrete research questions, and translate research outcomes back into actionable insights for both technical and non-technical stakeholders.

Key Requirements

  • •MS/PhD in Computer Science, ML, a related field, or equivalent experience
  • •Depth in LLM and ML fundamentals
  • •Comfort implementing and debugging large-scale ML systems
  • •Ability to work directly with customers: translate business problems into research problems and communicate with non-technical stakeholders
  • •Proven track record of execution
Experience:AIApplied AIHealthcareManufacturingEnergyFinance
Skills:CommunicationCollaborationProblem-solvingCustomer-facingPresentation
Languages:English
Tech Stack:LLMReinforcement learningDistributed trainingMosaicAWS

Company Brief

Percepta
Percepta (Percepta Labs) builds ethical, real-time computer-vision video analytics for retail loss prevention, focusing on privacy-preserving shoplifting detection and bias mitigation for retailers and institutions.
Industry: Surveillance & Security Hardware
Company Size: Micro (1 to 10 employees)
Growth: Early Stage Startup
Funding: Private Equity Backed
Headquarters: Philadelphia, United States
Founded: 2019
WebsiteLinkedIn