Member of Technical Staff - Research Engineering (Remote)
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About the Role
Role: Member of Technical Staff - Research Engineering (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $220K - $500K/yr Role Overview: We are hiring for one of our clients, seeking a Member of Technical Staff, Research Engineering to work on a full-time basis.
Key Skills for This Role
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Overview
- **Role:**
- Member of Technical Staff - Research Engineering (Remote)
- **Location:**
Remote (Work From Anywhere)
- **Job Type:**
Full-Time
- **Payout:**
- $220K - $500K/yr
Role Overview
We are hiring for one of our clients, seeking a Member of Technical Staff, Research Engineering to work on a full-time basis.
The role involves advancing research engineering initiatives within the Micro1 platform, focusing on scalable AI solutions and infrastructure optimization.
Collaboration with cross-functional teams will drive the development of next-generation research tools.
Key Responsibilities
- Design, prototype, and implement research engineering solutions to enhance AI model performance and scalability.
- Optimize existing research pipelines to improve computational efficiency and reduce latency in distributed systems.
- Collaborate with data science and engineering teams to integrate research findings into production-grade systems.
- Conduct performance benchmarking and analyze system bottlenecks to inform architectural decisions.
- Document research methodologies, experimental results, and technical specifications for internal stakeholders.
Required Skills & Qualifications
- Proficiency in Python, C++, or Rust for high-performance computing and algorithm development.
- Experience with distributed computing frameworks such as Apache Spark, Dask, or Ray.
- Strong background in machine learning systems, including model optimization and inference acceleration.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Knowledge of linear algebra, optimization techniques, and numerical computing libraries (NumPy, SciPy).
- Ability to write clean, maintainable, and well-documented code for research and production environments.
- Experience with version control systems (Git) and collaborative software development workflows.
- Understanding of data structures, algorithms, and complexity analysis for scalable system design.
More About The Opportunity
This role offers a unique opportunity to work with a global leader in the Information Services industry, contributing to the development of AI-driven research platforms.
The position focuses on solving complex technical challenges in a dynamic, distributed environment.
Equal Opportunity Employer
We hire based on skills and expertise.
All qualified candidates are welcome regardless of background, experience, or prior employment history.
Applications are reviewed solely on demonstrated technical ability and qualifications.
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