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Senior Algorithm Engineer Jobs in Toronto, ON (NOW HIRING)

hireVouch

Sr Software Engineer

Toronto, ON · Remote

About the Role As a Senior Software Engineer, you will work on our engineering team on a broad ... Make tweaks and improvements to our AI algorithms * Participate in the whole lifecycle of code ...

Altera

Senior FPGA Compiler (Router) Engineer

Toronto, ON · On-site

CA$144K/yr

Position Overview Altera is seeking a Senior FPGA Compiler Engineer (Routing) to join our team ... Routing Algorithm Development: Design, implement, and optimize FPGA routing algorithms to improve ...

Career Renew

Senior Machine Learning Engineer

Toronto, ON · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... Design and implement novel computer vision and deep learning algorithms for virtual staining and ...

Career Renew

Senior Machine Learning Engineer

Toronto, ON · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... Design and implement novel computer vision and deep learning algorithms for virtual staining and ...

Waabi

Senior / Staff Perception Engineer

Toronto, ON · On-site

CA$158K - CA$269K/yr

To learn more visit: www.waabi.ai As a Senior Perception Engineer, you will be at the forefront of ... You will... - Prototype, evaluate, and iterate on perception algorithms, using real-world data and ...

BDO Canada

Senior Machine Learning Engineer

Oakville, ON

CA$84K - CA$128K/yr

... Senior ML Engineer to join our Technology Advisory Services practice. This role blends technical ... Apply appropriate ML algorithms to structured and unstructured data problems. * Evaluate model ...

BDO Canada

Senior Machine Learning Engineer

Toronto, ON

CA$84K - CA$128K/yr

... Senior ML Engineer to join our Technology Advisory Services practice. This role blends technical ... Apply appropriate ML algorithms to structured and unstructured data problems. * Evaluate model ...

OpenSpace

Sr. Computer Vision Engineer

Toronto, ON

CA$168K - CA$220K/yr

... Sr. Computer Vision Engineer to own core algorithms for mapping, localization, image analysis, and ... Prototype and rigorously test algorithms on real-world construction site data. * Collaborate with ...

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All JobsAlgorithm Engineer JobsSenior Algorithm Engineer JobsSenior Algorithm Engineer Jobs in Toronto, ON

Senior Algorithm Engineer information

See Toronto, ON salary details

$79.2K

$137K

$163.2K

How much do senior algorithm engineer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for senior algorithm engineer in Toronto, ON is $136,998.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,587.00 and $154,125.00 per year, depending on experience, location, and employer.

What does a senior algorithm engineer do?

A Senior Algorithm Engineer is responsible for designing, developing, and optimizing complex algorithms that solve technical problems or enhance product performance. They often work with large datasets, machine learning models, or mathematical techniques to create efficient solutions. In addition to coding, they may collaborate with cross-functional teams, review the work of junior engineers, and help set the technical direction for algorithm development projects. Their expertise ensures that products and systems run efficiently and accurately.

What are the key skills and qualifications needed to thrive as a senior algorithm engineer, and why are they important?

To thrive as a Senior Algorithm Engineer, you need advanced proficiency in mathematics, computer science, and algorithm design, usually supported by a relevant degree and extensive experience in the field. Expertise with programming languages such as Python or C++, proficiency with machine learning libraries, and familiarity with version control systems like Git are commonly required. Strong problem-solving skills, attention to detail, and the ability to communicate complex ideas clearly help set top candidates apart. These skills are crucial for developing robust, efficient solutions and collaborating effectively on challenging technical projects.

What are some common challenges faced by senior algorithm engineers when deploying algorithms into production environments?

Senior Algorithm Engineers often encounter challenges such as ensuring that algorithms are both scalable and efficient when integrated into real-time systems. Balancing model accuracy with computational resource constraints is a frequent task, as well as addressing data inconsistencies and managing version control for iterative algorithm updates. Collaboration with software engineers and data engineers is essential to ensure smooth deployment, monitor performance, and quickly resolve any production issues. Staying updated with the latest frameworks and best practices also helps in overcoming these challenges.

What is the difference between Senior Algorithm Engineer vs Data Scientist?

AspectSenior Algorithm EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, EE, or related; strong math and programming skillsBachelor's or Master's in CS, Statistics, or related; strong analytical and programming skills
Work EnvironmentDevelops algorithms for software, hardware, or embedded systems in tech companiesAnalyzes data to extract insights, often in tech, finance, or healthcare sectors
Industry UsageCommon in AI, robotics, and software developmentPrevalent in analytics, machine learning, and business intelligence

While both roles require strong programming and analytical skills, Senior Algorithm Engineers focus on designing and optimizing algorithms for technical systems, whereas Data Scientists analyze data to inform business decisions. The roles often overlap in AI and machine learning projects but serve different primary functions within organizations.

What are the most commonly searched types of Algorithm Engineer jobs in Toronto, ON?

The most popular types of Algorithm Engineer jobs in Toronto, ON are:

Senior Algorithm Engineer jobs near you
Infographic showing various Senior Algorithm Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 83% Full Time, 12% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $136,998 per year, or $65.9 per hour.

Senior Staff Compiler Engineer

Talentlab

Markham, ON

Full-time

Re-posted 17 days ago

Job description

Senior Staff Compiler Engineer
Toronto/Hybrid

We are partnered with a global leader in the semiconductor industry, assisting in the search for a Senior-Staff level compiler optimization engineer to join their growing AI/ML R&D team.

General Summary:

Today, more intelligence is moving to end devices, and mobile is becoming the pervasive AI platform. Building on the smartphone foundation and the scale of mobile, We envision making AI ubiquitous—expanding beyond mobile and powering other end devices, machines, vehicles, and things.

We are inventing, developing, and commercializing power-efficient on-device AI, edge cloud AI, and 5G to make this a reality.

Job Purpose & Responsibilities

As a member of the ML Systems Team, you will participate in two activities:

  • Development and evolution of ML/AI compilers (production and exploratory versions) for efficient mappings of ML/AI algorithms on existing and future HW
  • Analysis of ML/AI algorithms and workloads to drive future features in Qualcomm’s ML HW/SW offerings

Key Responsibilities:

  • Contributing to the development and evolution of ML/AI compilers 
  • Defining and implementing algorithms for mapping ML/AI workloads to Qualcomm HW
  • Understanding trends in ML network design, through customer engagements and latest academic research, and how this affects both SW and HW design
  • Creation of performance-driven simulation components (using C++, Python) for analysis and design of high-performance HW/SW algorithms on future SoCs
  • Exploration and analysis of performance/area/power trade-offs for future HW and SW ML algorithms
  • Pre-Silicon prediction of performance for various ML algorithms
  • Running, debugging and analyzing performance simulations to suggest enhancements to hardware and software to tackle compute and system memory-related bottlenecks

Minimum Qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Requirements:

  • Demonstrated ability to learn, think and adapt in fast-changing environments
  • Detail-oriented with strong problem-solving, analytical and debugging skills
  • Strong communication skills (written and verbal)
  • Strong background in algorithm development and performance analysis is essential

The following experiences would be significant assets:

  • Strong object-oriented design principles
  • Strong knowledge of C++
  • Strong knowledge of Python
  • Experience in compiler design and development
  • Knowledge of network model formats/platforms (eg. Pytorch, Tensorflow, ONNX) is an asset.
  • On-silicon debug skills of high-performance compute algorithms · Knowledge of algorithms and data structures
  • Knowledge of software development processes (revision control, CD/CI, etc.) · Familiarity with tools such as git, Jenkins, Docker, clang/MSVC
  • Knowledge of computer architecture, digital circuits and event-driven transactional models/simulators

How to Apply?
All qualified and interested applicants can apply directly to Gord Marriage by sending an email with attached resume to gord.marriage@talentlab.com. You may also apply directly on our website at www.talentlab.com. Although we thank all applicants for their interest, only those in consideration will be contacted.