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Phd Science Jobs in Quebec (NOW HIRING)

Targeted Talent

Senior Deep Learning Engineer

Montreal, QC · On-site +1

$130K - $180K/yr

Master's or PhD in Computer Science, Engineering, or related field * Experience in embedded or low-level programming * Knowledge of CUDA/OpenGL * Experience deploying neural networks in production

Coractive

Optical fiber scientist

Quebec, QC · On-site

PhD degree in Optical Engineering, Optoelectronics, Photonics, Physics, Electrical Engineering, or ... world of science and technology? Joining Coractive means joining a leading company in the ...

Coractive

Optical fiber scientist

Levis, QC · On-site

PhD degree in Optical Engineering, Optoelectronics, Photonics, Physics, Electrical Engineering, or ... world of science and technology? Joining Coractive means joining a leading company in the ...

Coractive

Optical fiber scientist

Quebec, QC · On-site

PhD degree in Optical Engineering, Optoelectronics, Photonics, Physics, Electrical Engineering, or ... world of science and technology? Joining Coractive means joining a leading company in the ...

Nord Quantique

CA$123K - CA$140K/yr

PhD in quantum information, theoretical physics, mathematics or theoretical computer science PhD- or post-doc-internship, an asset Work experience in industry, an asset Sought expertise and knowledge:

Nord Quantique

CA$123K - CA$140K/yr

PhD in quantum information, theoretical physics, mathematics or theoretical computer science * PhD- or post-doc-internship, an asset * Work experience in industry, an asset Sought expertise and ...

Straumann

Sr. R&D Engineer/Scientist

Montreal, QC · On-site

Master's or PhD in Polymer Science, Materials Science, Chemical Engineering, or a related discipline. * Experience with polymer processing, melt behavior, extrusion, compounding, or thermoforming.

Coractive

Optical fiber scientist

Quebec, QC

PhD degree in Optical Engineering, Optoelectronics, Photonics, Physics, Electrical Engineering, or ... world of science and technology? Joining Coractive means joining a leading company in the ...

LawZero

Machine Learning Manager

Montreal, QC · On-site

PhD in a relevant field (e.g., Computer Science, Mathematics). * 10+ years experience in machine learning / deep learning * 5+ years experience leading projects and people * Experience leading ...

LawZero

Senior Distributed ML Engineer

Montreal, QC · On-site

A degree in a relevant computer science field (e.g., computer science, computer engineering, software engineering) is required. An advanced degree (master's or PhD) related to machine learning or ...

TailorCare

Master's or PhD in a quantitative field (computer science, statistics, machine learning, operations research, applied mathematics, economics, or a closely related discipline). This is a requirement ...

GlaxoSmithKline

MSc/PhD prefere ; experience en fabrication requise. * Experience en leadership technique avec ... Director, Manufacturing Science and Technology (MSAT) The Director, MSAT (Manufacturing Science and ...

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Phd Science information

What are the key skills and qualifications needed to thrive as a PhD scientist?

To thrive as a PhD Scientist, you need advanced expertise in your scientific discipline, strong research skills, and a doctoral degree (PhD) in a relevant field. Familiarity with specialized laboratory equipment, data analysis software (such as R or Python), and publication processes is typically required. Critical thinking, attention to detail, and effective communication are vital soft skills for presenting complex findings and collaborating with peers. These skills and qualifications are crucial for driving innovative research, producing publishable results, and contributing to scientific advancement.

What is a PhD in science?

A PhD in Science is the highest academic degree awarded in scientific fields such as biology, chemistry, physics, or environmental science. It typically involves several years of advanced coursework, followed by original research that contributes new knowledge to the field. Graduates must defend a dissertation before a panel of experts. Earning a PhD in Science prepares individuals for careers in academia, research, industry, and leadership roles within scientific organizations.

What is the difference between Phd Science vs Data Scientist?

AspectPhd ScienceData Scientist
Required CredentialsPhD in a scientific field, research experienceBachelor's or Master's in CS, stats, or related field; often a PhD preferred
Work EnvironmentResearch labs, academia, industry R&DTech companies, finance, healthcare, consulting
Industry UsageResearch roles, scientific analysis, product developmentData analysis, machine learning, predictive modeling

While both roles involve analytical skills and data handling, Phd Science focuses on scientific research and experimentation, often in academic or R&D settings. Data Scientists primarily analyze large datasets to inform business decisions and develop models in industry environments. The key difference lies in their application areas and typical work environments.

What are the typical career advancement paths for someone with a PhD in science in academia and industry?

Individuals with a PhD in Science often start in postdoctoral or entry-level research positions, where they build specialized expertise and publish their findings. In academia, advancement typically involves progressing to assistant, associate, and full professor roles, with additional opportunities to lead research groups or departments. In industry, PhD holders can move into senior scientist, project manager, or R&D director roles, with the potential to transition into leadership, policy, or consulting positions. Building a strong professional network, publishing impactful research, and developing leadership skills are key to advancing in both sectors.

What job categories do people searching Phd Science jobs in Quebec look for?

The top searched job categories for Phd Science jobs in Quebec are:

Phd Science jobs near you
Infographic showing various Phd Science job openings in Quebec as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 77% Full Time, 18% Part Time, and 3% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution.

Senior Deep Learning Engineer

Targeted Talent

Montreal, QC • On-site, Remote

$130K - $180K/yr

Full-time

Re-posted 3 days ago

Job description

We're seeking top-notch engineers to join our team. As part of our group, you'll collaborate with hardware and software engineers to design, develop, and optimize software for our chip, making AI inference accessible to everyone. You'll excel in identifying and resolving functional/performance bottlenecks in complex software and hardware designs.

We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model optimization pipeline. If you thrive on pushing the boundaries of AI technology, this role is for you!

Requirements:

  • Bachelor's degree in Computer Science, Engineering, or related field
  • 5+ years of experience, with at least 2 years in both deep learning and software engineering
  • Proficiency in deep learning frameworks like Tensorflow and/or PyTorch
  • Experience with CNNs, LSTMs/RNNs, Transformers
  • Strong math skills and Python proficiency
  • Experience with C/C++

Preferred Skills & Experience:

  • Master's or PhD in Computer Science, Engineering, or related field
  • Experience in embedded or low-level programming
  • Knowledge of CUDA/OpenGL
  • Experience deploying neural networks in production
  • Familiarity with model compression techniques like quantization, pruning, etc.
These are permanent full time remote positions.
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Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Vancouver, BC, CA

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