ZipRecruiter

Log In

1

Research Assistant Deep Learning Jobs in Waterloo, ON

ATS Automation

Data Scientist

Cambridge, ON · On-site

CA$600/day

... learning and career growth with global mobility opportunities. A chance to contribute to something ... • Deep understanding of Databricks ecosystem components including Unity Catalog, data lineage ...

Dabadu

Senior UI/UX Designer

Kitchener, ON · On-site

Deep understanding of user-centered design principles, including user research, usability testing ... to learning and professional development. Preferred Qualifications: * Experience with Design ...

Dabadu

Senior UI/UX Designer

Kitchener, ON · On-site

Deep understanding of user-centered design principles, including user research, usability testing ... learning and professional development. Preferred Qualifications: Experience with Design Systems:

Dabadu

Senior UI/UX Designer

Kitchener, ON

Deep understanding of user-centered design principles, including user research, usability testing ... learning and professional development. Preferred Qualifications: Experience with Design Systems:

previous page

Showing results 41-60

All JobsResearch Deep Learning JobsResearch Assistant Deep Learning JobsResearch Assistant Deep Learning Jobs in Waterloo, ON

Research Assistant Deep Learning information

What is the difference between Research Assistant Deep Learning vs Research Assistant Machine Learning?

AspectResearch Assistant Deep LearningResearch Assistant Machine Learning
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related fields; knowledge of neural networksBachelor's or Master's in Computer Science, Data Science, or related fields; foundational ML knowledge
Work EnvironmentResearch labs, universities, tech companies focusing on AI and neural networksResearch labs, universities, tech companies working on various ML algorithms
Employer & Industry UsageAI research, deep learning projects, neural network developmentGeneral machine learning applications, data analysis, predictive modeling

Research Assistant Deep Learning specializes in neural networks and AI-focused projects, while Research Assistant Machine Learning covers a broader range of algorithms and data analysis tasks. Both roles require similar educational backgrounds but differ in technical focus and application areas.

What is a research assistant deep learning?

Research Assistant Deep Learning jobs involve supporting research projects focused on artificial intelligence, specifically within the field of deep learning. These roles typically require assisting with data collection, preprocessing, running machine learning experiments, and analyzing results. Research assistants may also help with literature reviews, code development, and documentation. The position is often found in academic, industry, or research lab settings, and usually requires a solid foundation in programming, mathematics, and neural network concepts.

What are the key skills and qualifications needed to thrive as a research assistant deep learning?

To thrive as a Research Assistant in Deep Learning, you need a strong background in machine learning, programming (especially Python), and a relevant degree in computer science or a related field. Familiarity with deep learning frameworks such as TensorFlow or PyTorch, as well as experience with data preprocessing and GPU computing, are typically required. Strong analytical thinking, attention to detail, and effective communication skills help you excel in collaborative research environments. These skills and qualities are essential for efficiently developing, testing, and improving advanced machine learning models in a fast-evolving field.

What does a research assistant deep learning do?

As a Research Assistant in Deep Learning, you can expect to work closely with research scientists and engineers to design, implement, and evaluate novel deep learning models. Typical daily tasks include data preprocessing, running experiments, analyzing results, and contributing to academic papers or presentations. You may also assist in developing codebases, conducting literature reviews, and collaborating with team members to solve technical challenges. The work environment is often collaborative and fast-paced, with opportunities to learn from experts and contribute to cutting-edge research projects.
What job categories do people searching Research Assistant Deep Learning jobs in Waterloo, ON look for? The top searched job categories for Research Assistant Deep Learning jobs in Waterloo, ON are:
What cities near Waterloo, ON are hiring for Research Assistant Deep Learning jobs? Cities near Waterloo, ON with the most Research Assistant Deep Learning job openings:
Research Assistant Deep Learning jobs near you
Infographic showing various Research Assistant Deep Learning job openings in Waterloo, ON as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 26% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Data Scientist

ATS Automation Tooling Systems Inc

Cambridge, ON

CA$600/day

Full-time

Medical, Dental, PTO

Re-posted 7 days ago

Job description

Data Scientist

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

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

H&S

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

Join our Innovation Center at ATS Corporation - a place to create differentiators with the future in mind. Our Innovation Center is focused on R&D; advancing existing technologies, filling gaps in existing automation products, technologies and processes to give ATS a competitive advantage

Apply