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Algorithmic Jobs in Toronto, ON (NOW HIRING)

Algorithm Implementation & Optimization * Contribute to performance profiling and optimization of existing codebases (including Python and C++). Work on efficient memory management and I/O handling ...

Senior / Staff Perception Engineer

Toronto, ON · On-site

CA$158K - CA$269K/yr

You will... - Prototype, evaluate, and iterate on perception algorithms, using real-world data and simulations, to improve the accuracy, robustness, and safety of our self-driving technology. This ...

Transform raw algorithmic outputs and data tables into structured, actionable, and real-time guidance streams for frontline systems Continuous Optimization * Monitor data quality, model drift ...

Design and optimize sophisticated positioning and pointing algorithms for both real-time and post-processing software suites. * Collaborate with elite product teams to define requirements and deliver ...

Showing results 41-60

Algorithmic information

See Toronto, ON salary details

$76.3K

$148.7K

$344K

How much do algorithmic jobs pay per year?

As of Aug 12, 2026, the average yearly pay for algorithmic in Toronto, ON is $148,688.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,886.00 and $154,125.00 per year, depending on experience, location, and employer.

What jobs use algorithms?

Algorithmic jobs include roles such as data scientists, software engineers, machine learning engineers, and quantitative analysts. These positions involve designing, implementing, and optimizing algorithms to solve complex problems, often requiring programming skills in languages like Python, C++, or Java, and knowledge of data structures and mathematical concepts.

What is an algorithmic job?

Algorithmic jobs involve designing, analyzing, and implementing algorithms to solve specific problems or optimize processes. Professionals in these roles often work in fields like computer science, finance, and engineering, where they create solutions for data processing, automation, or trading systems. These jobs require strong analytical skills, proficiency in programming languages, and a solid understanding of mathematical concepts. Algorithmic roles can range from developing search algorithms for software applications to creating automated trading strategies in financial markets.

What are some common challenges faced by professionals in algorithmic roles, and how can these be addressed?

Professionals in algorithmic roles often encounter challenges such as optimizing algorithms for efficiency, managing large and complex data sets, and ensuring their solutions scale well in production environments. Collaborating closely with data engineers, software developers, and product teams is essential to address these issues. Keeping up-to-date with the latest advancements through continuous learning and code reviews, as well as leveraging peer feedback, can help overcome technical hurdles and improve algorithm performance.

What are the key skills and qualifications needed to thrive as an algorithmic trader?

To thrive as an Algorithmic Trader, you need a strong background in quantitative analysis, programming (often in Python, C++, or R), and financial markets, typically supported by a degree in finance, mathematics, computer science, or a related field. Familiarity with trading platforms, statistical modeling tools, and certifications like CFA or FRM can enhance your expertise. Analytical thinking, attention to detail, and strong decision-making skills set top performers apart in this competitive field. These skills ensure the development, testing, and execution of effective trading strategies in rapidly changing market environments.

What is the difference between Algorithmic vs Data Analyst?

AspectAlgorithmicData Analyst
Required CredentialsDegree in Computer Science, Mathematics, or related fields; programming skillsDegree in Statistics, Mathematics, or related fields; analytical skills
Work EnvironmentTech companies, finance, research labs; focus on coding and algorithm developmentBusiness, marketing, finance; focus on data interpretation and reporting
Employer & Industry UsageUsed in software development, quantitative research, AIUsed in marketing, finance, healthcare for data-driven decisions

While both roles involve working with data, Algorithmic professionals primarily develop algorithms and coding solutions, often in technical environments. Data Analysts focus on analyzing data sets to generate insights and reports. Understanding these differences helps in choosing the right career path or job search focus.

What are popular job titles related to Algorithmic jobs in Toronto, ON? For Algorithmic jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Algorithmic jobs in Toronto, ON look for? The top searched job categories for Algorithmic jobs in Toronto, ON are:
Infographic showing various Algorithmic job openings in Toronto, ON as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 56% In-person, and 44% Remote job distribution, with an average salary of $148,688 per year, or $71.5 per hour.

Grid Automation Protection & Control Systems Engineering Leader

GE Vernova

Markham, ON • On-site

CA$126K - CA$176K/yr

Other

Re-posted 17 days ago


GE Vernova rating

8.2

Company rating: 8.2 out of 10

Based on 115 frontline employees who took The Breakroom Quiz

129th of 487 rated machine equipment manufacturers


Job description

Job Description SummaryTo accelerate growth and enhance customer value, Grid Automation is undergoing a strategic restructuring aimed at driving innovation in grid flexibility, reliability, and sustainability, while reinforcing its core portfolio. A central element of this transformation is the launch of the GridBeats™ Product Line, dedicated to delivering software-defined automation solutions. This initiative integrates advanced technologies and develops distinctive product platforms to address evolving market demands.
As part of the Global Engineering organization, we are seeking a passionate and highly experienced Power Systems expert to lead the GridBeats™ R&D Protection and Control Engineering team.
The GridBeats™ R&D Protection and Control Engineering Leader will report directly to the GridBeats™ R&D and Operations Leader. Job Description

Lead a High-Performing Team

  • Build and guide a team of highly skilled protection and control engineers with expertise in all areas of protection algorithms, filter design, and renewable integration.
  • Inspire and foster a culture of innovation, continuous improvement, and knowledge sharing within the team.

Drive Grid Modernization

  • Oversee the full project lifecycle for protection and control system, feature design, specification, simulation, modeling, implementation, ensuring alignment with organizational processes and procedures.
  • Champion the adoption of new technologies, such as communication protocols (e.g., IEC 61850) for digital substation to enhance grid automation and protection.
  • Develop and implement strategic initiatives to support the seamless integration protection algorithms into products using model-based design through to virtualization.

Technical Expertise and Management

  • Possess a deep technical understanding of protection algorithms, automation, and control system design, including fault analysis and system stability.
  • Experience in Matlab / Simulink for model design and power system simulation tools such as RTDS. PSCAD or ATP/EMTP and applying protection principles to design and development of protection relay.
  • Knowledge or experience of metering, Ethernet & serial communications applicable to P&C (such as IEC61850, Modbus, DNP3.0 and IEC60870-5-103).
  • Working knowledge of RTDS and its application in hardware-in-the-loop testing of protection and control systems.
  • Experience with Model-Based Design principles for developing embedded systems for protection relays.
  • Demonstrate strong project management, problem-solving, and decision-making skills.
  • Develop and manage the team's budget, resource planning, and performance metrics.

Collaboration and Industry Leadership

  • Collaborate with cross-functional teams, including hardware engineers, software developers, and product managers, to ensure seamless integration of protection and control functionalities within the overall equipment design.
  • Stay abreast of industry standards and trends, technologies, and best practices in power system protection and control.
  • Establish and maintain partnerships with universities to support research and development efforts.
  • Represent the organization at industry conferences and technical forums.
  • Experience working with utilities on protection and control system design and implementation.

Qualifications

  • Bachelor’s degree in electrical engineering or a related field; master’s degree a plus.
  • 10+ years of experience in power system protection and control engineering, with at least 5 years in a leadership role.
  • Demonstrated experience in leading and developing a team of engineers.
  • Proven record of writing and presenting papers at industry conferences
  • Experience with industry standards and regulations related to power system protection and control.
  • Excellent communication skills with the ability to effectively interact with both technical and non-technical audiences.

For Canadian based positions, the pay range for this position is between $126,000 - $176,000 CAD Annual. The specific pay offered may be influenced by a variety of factors, including the candidates’ experience, education, and skill set. Eligible for discretionary annual bonus. This posting is for an existing vacancy.

Additional Information

Relocation Assistance Provided: No

#LI-Remote - This is a remote position Application Deadline: March 03, 2026

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