ML Infrastructure Engineer - (Early Career/Internship)
$112,700–$169,000 year
Remote · Canada
CanadaRemoteInternship$112,700–$169,000 yearEntry LevelBachelors DegreeGaming SoftwareLarge
Type
Internship
Level
Entry Level
Education
Bachelors Degree
Company size
Large
Industry
Gaming Software
Job Summary
Build and maintain data pipelines for generating training datasets and support distributed ML training workflows (e.g., PyTorch, Ray). Contribute to orchestration of multi-stage ML pipelines using tools like Airflow or Flyte, improve reproducibility through dataset validation and monitoring, and collaborate with ML engineers to accelerate model iteration. Contribute to the evolution of an offline ML platform to scale training data generation and model training across large datasets and workflows.
Required Qualifications
- Bachelor’s degree in Computer Science, Machine Learning, Systems, or a related field
- Strong foundation in machine learning systems, distributed systems, or large-scale data processing
- Experience with Python and working with data-intensive workloads
- Familiarity with ML frameworks (e.g., PyTorch, TensorFlow) and/or distributed systems (e.g., Ray, Spark)
- Experience with data pipelines, model training workflows, or large datasets
- Strong problem-solving skills and ability to translate research ideas into practical systems
- Interest in building scalable, reliable infrastructure for machine learning
Desired Qualifications
- Bachelor’s degree in Computer Science, Machine Learning, Systems, or a related field
- Strong foundation in machine learning systems, distributed systems, or large-scale data processing
- Experience with Python and working with data-intensive workloads
- Familiarity with ML frameworks (e.g., PyTorch, TensorFlow) and/or distributed systems (e.g., Ray, Spark)
- Experience with data pipelines, model training workflows, or large datasets
- Strong problem-solving skills and ability to translate research ideas into practical systems
- Interest in building scalable, reliable infrastructure for machine learning
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