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Machine-Learning Engineer
Machine-Learning EngineerMercor • Montreal (administrative region), QC, CA
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Machine-Learning Engineer

Machine-Learning Engineer

Mercor • Montreal (administrative region), QC, CA
Il y a 11 jours
Type de contrat
  • Temps plein
Description de poste

About the Job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position : Machine Learning Engineer

Type : Contract

Compensation : $14 / hour

Location : Remote

Role Responsibilities

  • Design and implement scalable ML pipelines for model training, evaluation, and continuous improvement.
  • Build and fine-tune deep learning models for reasoning, code generation, and real-world decision-making.
  • Collaborate with data scientists to collect and preprocess training data, ensuring quality and representativeness.
  • Develop benchmarking tools that test models across reasoning, accuracy, and speed dimensions.
  • Implement reinforcement learning loops and self‑improvement mechanisms for agent training.
  • Work with systems engineers to optimize inference speed, memory efficiency, and hardware utilization.

Qualifications

Must‑Hold

  • Strong background in machine learning, deep learning, or reinforcement learning.
  • Proficiency in Python and familiarity with frameworks such as PyTorch, TensorFlow, or JAX.
  • Understanding of training infrastructure, including distributed training, GPUs / TPUs, and data pipeline optimization.
  • Experience with MLOps tools (e.g., Weights & Biases, MLflow, Docker, Kubernetes, or Airflow).
  • Experience designing custom architectures or adapting LLMs, diffusion models, or transformer‑based systems.
  • Preferred

  • Curiosity about AI agents and how models can simulate human‑like reasoning, problem‑solving, and collaboration.
  • Compensation & Legal

    Weekly Bonus of $500 - $1000 per 5 tasks created.

    Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form
  • Resources & Support

    For details about the interview process and platform information, please check : https : / / talent.docs.mercor.com / welcome / welcome

    For any help or support, reach out to : support@mercor.com

    PS : Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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