MTS - Agent Research

Etched
San Jose
Workplace: OnsiteFull timeUSD 175,000 - 275,000 annuallyFunction: Research & Scientific (R&D)Skills: ["Research judgment","Engineering execution","Collaboration","Problem-solving","Technical direction"]

Set the research direction for self-improving agentic systems, turning ambiguous engineering problems into hypotheses, experiments, and measurable evaluations. Build long-running agent harness components (memory, context, tool use, planning) and develop reliability/efficiency benchmarks that transfer to production. Train and iterate custom models using SFT, RL, and distillation, scaling experiments across hundreds or thousands of concurrent agents while controlling compute costs.

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FursaFursa
Etched
Etched
1 day ago

MTS - Agent Research

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Set the research direction for self-improving agentic systems, turning ambiguous engineering problems into hypotheses, experiments, and measurable evaluations. Build long-running agent harness components (memory, context, tool use, planning) and develop reliability/efficiency benchmarks that transfer to production. Train and iterate custom models using SFT, RL, and distillation, scaling experiments across hundreds or thousands of concurrent agents while controlling compute costs.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key Responsibilities

  • •Own the research agenda for agentic systems by identifying bottlenecks, prioritizing approaches, and deciding when to scale.
  • •Partner with domain engineers to understand real workflows, diagnose agent failures, and convert failures into research questions with concrete evaluations.
  • •Develop systems for long-running tasks, including memory, context management, tool use, planning, and coordination between agents.
  • •Build evaluations to measure correctness, reliability, and efficiency on real engineering tasks and verify that gains transfer to production.
  • •Train custom models using SFT, RL, and distillation within the agent harness loop, using trajectories and failure analysis to guide training and reward design.

Pay and Benefits

Salary: USD 175,000 - 275,000 annually
Equity and Bonus:Equity
Perks:MedicalDentalVisionHousing SubsidyRelocation SupportCompute BudgetMeal Allowance

Key Requirements

  • •Strong research taste and the ability to turn ambiguous problems into clear hypotheses, decisive experiments, and useful systems.
  • •Excellent engineering ability to move between research, agent experimentation, debugging, and production execution while ensuring reliable systems.
  • •Experience building agents for complex, multi-step tasks, including context, memory, tools, evaluation, and failure recovery.
  • •Hands-on experience with LLM post-training, including SFT and RL.
  • •A track record of making progress under compute and data constraints with strong cost/quality judgment.
Experience:LLM agentsInferenceReinforcement learningFrontier AI
Skills:Research judgmentEngineering executionCollaborationProblem-solvingTechnical direction
Tech Stack:LLMSFTReinforcement learningRLDistillationIn-context learningAgent harnessTransformerTransformer-like architecturesASIC developmentInference systemsSupercomputing

Company Brief

Etched
Designs transformer‑specialized AI inference ASICs (product: Sohu) to accelerate large‑language‑model workloads, working with TSMC for fabrication and targeting energy‑efficient inference performance.
Industry: Hardware Devices
Company Size: Medium (51 to 250 employees)
Growth: Early Stage Startup
Valuation: Unicorn (USD 1B+)
Funding: Series A
Headquarters: San Jose, United States
Founded: 2022
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