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Researcher, AI Computing System

  • Burnaby, BC, Canada

$73.3 CAD / hour · Contract · Temporary

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Job details

Pay
$73.3 CAD / hour
Job type
Contract · Temporary
Apply by
Posting language
English
Posted

Original job description

Adecco is currently hiring a full-time Researcher, AI Computing System for our client in Burnaby, BC. Working at the intersection of AI algorithms and system architecture, you'll contribute to innovations in large model training, reinforcement learning, multimodal understanding, and AI infrastructure optimization.

This is an exciting opportunity to collaborate with world-class researchers and engineers while helping shape the future of AI computing.

  • Pay Rate: $73.30/hour

  • Location: Burnaby, BC

  • Job type: Temporary | Full-time

Here's why you should apply:

  • Paid weekly accurate and on time

  • Strong health and safety programs

  • Medical and dental benefits once qualified

  • Free training programs

  • New and quicker onboarding process

Responsibilities:

  • Aiming at key industry AI application scenarios such as large model training and inference, this role focuses on advancing performance, efficiency, and usability of AI systems on the Ascend platform. The work involves low-precision training, multimodal optimization, reinforcement learning, and training resource optimization to address system bottlenecks and deliver next-generation AI capabilities.

  • Responsible for design and development of optimization solutions for AI training and inference systems, with a focus on FP8/FP4 optimization, RL-driven training agents, multimodal reinforcement learning or next-generation multi-modal understanding & generation.

  • Combine AI algorithm requirements with system-level architectural optimization in computing, I/O, scheduling, and precision control to improve performance.

  • Build stable, efficient AI training clusters, leveraging dynamic cluster configuration and precision control to ensure scalability and reliability.

Qualifications and Skills:

  • Ph.D or Masters degree in Computer Science, Computer Engineering majors in artificial intelligence, computer science, software, automation, electronics, communications, robotics, etc.

  • Familiar with the common model structures of large models such as Deepseek and Llama, and have basic technical accumulation in large model training and inference optimization in the fields of LLM, MoE, multimodality, etc.

  • Familiar with the hardware architecture and programming system of AI accelerators, and have experience in optimizing AI systems with coordinated software and hardware cores.

  • Must be legally eligible to work, and reside in Canada

Interested in this position? Apply now! Our dynamic team of recruiters will reach out if you qualify for this role.

At Adecco our purpose is simple: to make the future work for everyone. We live our values, Passion, Collaboration, Inclusion, Courage, and Customers at Heart, by fostering a workplace where diversity is celebrated and every voice matters. We encourage applications from individuals of all backgrounds and identities. Together, we’re making the future work for everyone.

Please reach out to learn how the Aspire Academy can upskill you into your next role.




More about this job

Responsibilities

The Researcher at Adecco's client will design and develop optimization solutions for AI training and inference systems. The work covers low-precision training, reinforcement learning and multimodal models, and building stable, efficient AI training clusters.

Requirements

Candidates need a Master's or PhD in computer science, computer engineering or a related field, plus familiarity with large model architectures such as Deepseek and Llama. Experience with AI accelerator hardware and optimizing coordinated software and hardware systems is required, and candidates must be legally eligible to work and reside in Canada.

Skills

  • Large model training and inference optimization
  • FP8/FP4 low-precision optimization
  • Reinforcement learning
  • Multimodal understanding and generation
  • LLM and MoE architectures
  • Deepseek and Llama model structures
  • AI accelerator hardware architecture
  • Ascend platform
  • Hardware and software co-optimization
  • AI training cluster design
  • I/O, scheduling and precision control
  • Scalability and reliability engineering
  • Research methodology

Benefits

  • Weekly pay
  • Health and safety programs
  • Medical and dental benefits
  • Free training programs

Categories

  • Technology
  • Data & Analytics
  • Science & Research
  • Software

Keywords

  • AI research
  • large language models
  • LLM
  • MoE
  • multimodal
  • reinforcement learning
  • FP8
  • FP4
  • low-precision training
  • Ascend
  • AI accelerators
  • AI infrastructure
  • model training
  • model inference
  • Deepseek
  • Llama
  • training clusters
  • Machine learning
  • Computer science research
  • Burnaby

Perks

  • Paid training

Tools

  • Ascend platform
  • AI accelerators

Languages

  • English

Fields of study

  • Computer Science
  • Computer Engineering
  • Artificial Intelligence
  • Robotics

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