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Adecco Canada
Associate EngineerAdecco Canada • Kingston, Ontario, Canada
No longer accepting applications
Associate Engineer

Associate Engineer

Adecco Canada • Kingston, Ontario, Canada
3 days ago
Salary
CA$54.00 hourly
Job type
  • Full-time
  • Temporary
  • Quick Apply
Job description
Adecco is currently hiring a Large Language Model Systems Engineer for a full-time temporary opportunity in Kingston, ON. This role is ideal for a highly technical ML systems professional who enjoys working at the intersection of large-scale model training, distributed systems, and cutting-edge AI research infrastructure.
In this position, you will design, build, and optimize the core infrastructure that supports the full lifecycle of large foundation model development, including data pipelines, training systems, alignment workflows, and evaluation frameworks. You will collaborate with research, systems, and hardware teams to enable scalable, efficient, and high-performance AI model development across heterogeneous computing environments.
  • Salary: $ 54.00/hr
  • Location: Kingston, ON
  • Schedule: Variable schedule
  • Employment Type: Full-time
  • Vacancy Status: This posting is for an existing vacancy.
Responsibilities
  • Research, prototype, and build core infrastructure, tooling, and platforms supporting the full lifecycle of large foundation model development, including data curation, model training, alignment, and evaluation with a focus on scalability, efficiency, and research impact
  • Design and implement systems and workflows for supervised fine-tuning (SFT) data curation, deduplication, and synthetic data generation to support high-quality LLM training
  • Develop and optimize distributed training and alignment pipelines, including SFT, reward modeling, and reinforcement learning-based preference optimization (e.g., PPO, GRPO) across heterogeneous hardware environments
  • Build and maintain large language model evaluation and benchmarking frameworks to assess quality, alignment, robustness, and regression across training iterations
  • Collaborate with systems, hardware, and research teams to integrate novel algorithms and frameworks into internal platforms
  • Address system-level challenges including performance optimization, resource allocation, scheduling, fault tolerance, and communication efficiency
  • Contribute to research initiatives, prototype systems, publications, and patentable innovations in large-scale model training and serving
Qualifications
  • Must be eligible to work and reside within Canada
  • Hands-on experience with large language model training and alignment, including supervised fine-tuning, reward modeling, preference learning, and reinforcement learning-based optimization (PPO, GRPO)
  • Strong background in large-scale distributed training systems across multi-node, multi-device, and heterogeneous hardware environments (GPU/NPU)
  • Experience building SFT data pipelines, including semantic deduplication and synthetic data generation, with understanding of data impact on model behavior and alignment
  • Experience designing or applying LLM evaluation and benchmarking frameworks, including automated evaluation, preference-based assessment, and regression analysis
  • Proficiency in Python, C/C++, or Go
  • Ability to translate research concepts into scalable, reproducible engineering systems
  • Strong communication skills and ability to collaborate across research and engineering teams
Interested in this position? Apply now! Our dynamic recruitment team is ready to welcome you and support you on your path to success.
At Adecco, our purpose is simple: to make the future work for everyone. We live our values - Passion, Collaboration, Inclusion, Courage, and Customer-Centricity - by fostering a workplace where diversity is celebrated and every voice matters. We encourage applications from people of all backgrounds and identities. Together, we are shaping a future that works for everyone.
If you would like to learn more about Aspire Academy to enhance your skills for your next role, feel free to ask!



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Associate Engineer • Kingston, Ontario, Canada

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