Machine Learning Software Engineer Intern Jobs in Waterloo, ON

WHAT'S IN IT FOR YOU 

Benefits:

Compensation: $88,000 - $121,000
Annual Performance-Based Incentive Bonus 
5% RRSP match 
Stock purchase plan 
Starting 3 weeks of vacation 
Benefits package (health and dental) + $600 health spending account 
Half-Day Fridays 
Continuous learning and career growth with global mobility opportunities. 
A chance to contribute to something bigger - advancing the future of healthcare through automation. 

QUALIFICATIONS:

Education
   A post-secondary engineering degree, diploma or equivalent in a quantitative field (Computer Science, Information system, Mathematic, Statistics, Machine Learning, Artificial intelligence, Engineering)
   A Master's degree is considered beneficial.

Experience
   Strong experience with the deployment, configuration, and operationalization of Databricks environments, including workspace architecture, cluster management, CI/CD integration, security, governance, and enterprise-scale administration.
   Experienced in building and managing modern data pipelines and lakehouse architectures using Delta Lake, Delta Live Tables, Structured Streaming, Workflows, medallion architectures (Bronze/Silver/Gold), and real-time/batch ingestion frameworks.
   Deep understanding of Databricks ecosystem components including Unity Catalog, data lineage, RBAC, monitoring/observability, cost optimization, ML/AI enablement, model serving, and secure enterprise data collaboration through Clean Rooms. 
   Proven experience integrating Databricks with enterprise cloud and industrial data ecosystems, including Kafka, SQL databases, APIs, IoT/OT platforms, and cloud environments such as Azure, AWS, and GCP. 
   Strong understanding of scalable data engineering, governance, multi-tenant architectures, and enterprise data platform strategies supporting analytics, AI, and operational intelligence initiatives.
   Proficiency in programming languages like Python, R, or Java
   Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy)
   Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
   Experience with databases (SQL, Influx)
   Knowledge of data warehousing and ETL processes
   Familiarity with tools like Hadoop, Spark, or Kafka
   Experience with cloud services such as AWS, Google Cloud, or Azure
   Understanding of software engineering principles and best practices
   Experience with version control systems (e.g., Git)
   Ability to design and implement efficient algorithms and solutions
   Demonstrated experience in deploying machine learning models to production
   Experience with data visualization tools and techniques
   Strong analytical and communication skills
   Ability to work collaboratively in a team environment
   Ability to communicate effectively, both orally and in writing
   A self-starter with the ability to work as part of a team in a fast paced environment with minimal supervision
   In addition, the following is considered not necessary but beneficial:
o    Experience with Agile development practices
o    Understanding of automation mechanical, electrical and control systems
o    Understanding of machine operation, maintenance, service and troubleshooting
o    Understanding of Machine Vision systems and solutions
o    Understanding of PLCs and PLC communication
o    Exposure and understanding of business intelligence

HEALTH, SAFETY, AND ENVIRONMENTAL: 

   All employees have the responsibility to work in a safe manner and report any health, safety or environmental concern to their manager or supervisor in a timely manner. 
   Work in compliance with divisional health, safety and environmental procedures 
   Refrain from removing or altering safety devices or guarding unless hazardous energies are controlled through lockout-tagout methods 
   Report any unsafe conditions or unsafe acts Report defect in any equipment or protective device 
   Ensure that the required protective equipment is used for the assigned tasks 
   Attend all required health, safety and environmental training 
   Report any accidents/incidents to supervisor 
   Assist in investigating accidents/incidents 
   Refrain from engaging in any prank, contest, feat of strength, unnecessary running or rough and boisterous conduct