Member of Technical Staff, Research Engineering
Posted 2 days ago by Quik Hire Staffing
Negotiable
Undetermined
Remote
United Kingdom
Summary: This role as a Member of Technical Staff in Research Engineering focuses on advancing AI research and engineering solutions for a cutting-edge technology platform. The position involves designing, building, and optimizing research systems to enhance model performance, scalability, and reliability. It offers the opportunity to contribute to high-performance AI infrastructure, facilitating faster experimentation and deployment for global applications.
Key Responsibilities:
- Develop and maintain core research engineering systems that support AI model training, evaluation, and deployment.
- Optimize computational pipelines to reduce latency and improve throughput in distributed research environments.
- Collaborate with cross-functional teams to integrate new algorithms and techniques into existing research frameworks.
- Implement rigorous testing and validation processes to ensure system stability and reproducibility of results.
- Document technical specifications, research findings, and implementation details for internal and external stakeholders.
Key Skills:
- Master’s degree or higher in Computer Science, Engineering, Mathematics, or a related field with a focus on AI/ML.
- 5+ years of hands-on experience in research engineering, systems programming, or software development with AI applications.
- Proficiency in Python, C++, or Rust, with a strong grasp of algorithms and data structures for scalable systems.
- Experience with distributed computing frameworks such as Ray, Dask, or Kubernetes for large-scale AI workloads.
- Knowledge of ML frameworks (PyTorch, TensorFlow) and cloud platforms (AWS, GCP, Azure) for research infrastructure.
Salary (Rate): undetermined
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Role: Member of Technical Staff, Research Engineering
Location: Remote (Work from Anywhere)
Payout: Competitive, based on experience
Role Overview: This contract role focuses on advancing AI research and engineering solutions for a cutting-edge technology platform. The position involves designing, building, and optimizing research systems to improve model performance, scalability, and reliability. The work directly contributes to the development of high-performance AI infrastructure, enabling faster experimentation and deployment for global applications.
Key Responsibilities:
- Develop and maintain core research engineering systems that support AI model training, evaluation, and deployment.
- Optimize computational pipelines to reduce latency and improve throughput in distributed research environments.
- Collaborate with cross-functional teams to integrate new algorithms and techniques into existing research frameworks.
- Implement rigorous testing and validation processes to ensure system stability and reproducibility of results.
- Document technical specifications, research findings, and implementation details for internal and external stakeholders.
Required Skills & Qualifications:
- Master’s degree or higher in Computer Science, Engineering, Mathematics, or a related field with a focus on AI/ML.
- 5+ years of hands-on experience in research engineering, systems programming, or software development with AI applications.
- Proficiency in Python, C++, or Rust, with a strong grasp of algorithms and data structures for scalable systems.
- Experience with distributed computing frameworks such as Ray, Dask, or Kubernetes for large-scale AI workloads.
- Knowledge of ML frameworks (PyTorch, TensorFlow) and cloud platforms (AWS, GCP, Azure) for research infrastructure.
More About the Opportunity: This role offers the chance to contribute to scalable AI research infrastructure with direct impact on global deployment. The position involves solving complex engineering challenges in a dynamic, remote-first environment. Long-term collaboration potential exists for high-impact contributions to AI advancements.
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.
Apply Now!