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Member of Technical Staff - Research Engineering (Remote)

Quik Hire Staffing

Remote
Remote 🇬🇧 English
Python C++ Rust Apache Spark Dask Ray Machine learning systems Model optimization Inference acceleration AWS GCP Azure Docker Kubernetes NumPy SciPy Git

Job description

About the role

We are seeking a Member of Technical Staff in Research Engineering to join a leading Information Services company. The position is fully remote and focuses on building scalable AI solutions and optimizing the Micro1 research platform.

Key responsibilities

  • Design, prototype, and implement engineering solutions that improve AI model performance and scalability.
  • Optimize existing research pipelines to increase computational efficiency and lower latency in distributed environments.
  • Collaborate with data‑science and engineering teams to move research outcomes into production‑grade systems.
  • Conduct performance benchmarking, identify bottlenecks, and guide architectural decisions.
  • Document methodologies, experimental results, and technical specifications for internal stakeholders.

Required profile

  • Strong background in machine‑learning systems, model optimization, and inference acceleration.
  • Experience with high‑performance programming in Python, C++ or Rust.
  • Proficiency with distributed computing frameworks such as Apache Spark, Dask, or Ray.
  • Familiarity with cloud platforms (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes).
  • Solid understanding of linear algebra, optimization techniques, and numerical libraries.

Required skills

  • Python
  • C++
  • Rust
  • Apache Spark
  • Dask
  • Ray
  • Machine learning systems
  • Model optimization
  • Inference acceleration
  • AWS
  • GCP
  • Azure
  • Docker
  • Kubernetes
  • NumPy
  • SciPy
  • Git

What we offer

  • Competitive compensation ranging from $220K to $500K per year.
  • Fully remote work environment.
  • Opportunity to influence next‑generation AI research platforms.

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Published 2 months ago

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