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Machine Learning Engineer

Crossing Hurdles

United States (Hybrid) · 정규직

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경험
어느
샐러리
USD 350,000 – USD 500,000 / year
채용 공고
1
게시됨
2시간 전
작업 모드
잡종
재개하다
신청 시 필수 사항

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직무 설명

About the Role

We are seeking a highly skilled Machine Learning Engineer to join as a Member of Technical Staff, Forward Deployed, mainly based in Washington, D.C., working in a hybrid setting. This is a full-time opportunity with a competitive salary range between 350,000 and 500,000 USD annually. The role involves direct collaboration with partners on sensitive and high-impact projects involving advanced AI technologies.

Key Responsibilities

  • Develop and sustain robust data pipelines essential for model training, evaluation, and research processes.
  • Create and manage reinforcement learning environments to support experimentation and training activities.
  • Design, develop, and scale model inference frameworks to optimize system performance and reliability.
  • Implement and support software development kits and integrations across cutting-edge AI platforms.
  • Build sophisticated agentic systems leveraging modern large language model architectures, ensuring these systems meet stringent security and reliability standards.
  • Work closely with forward-deployed partners addressing critical and sensitive use cases.

Qualifications

  • Proven experience as a Python engineer with comprehensive project ownership from inception to deployment.
  • Expertise with large language models or agentic systems, demonstrated through engagement with tools like LangChain or LangGraph.
  • Experience in constructing and maintaining data pipelines along with machine learning infrastructure.
  • Knowledge of reinforcement learning workflows or simulation environments.
  • Familiarity with distributed computing frameworks and scalable inference mechanisms.
  • Ability to operate effectively in environments requiring high security and reliability.

Application Process

  • Submit application through the designated platform.
  • Monitor email communications for subsequent steps.
  • Engage in resume review and interview phases.

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