Experience with deep learning packages such as PyTorch, JAX, or Tensorflow; * Knowledge of professional software engineering best practices for the full software development life cycle, including ...
Experience with deep learning packages such as PyTorch, JAX, or Tensorflow; * Knowledge of professional software engineering best practices for the full software development life cycle, including ...
Build cutting edge technology using the latest advances in deep learning and machine learning to ... engineering workflow acceleration. This job posting is for an open vacancy. Please note that the ...
Build cutting edge technology using the latest advances in deep learning and machine learning to ... engineering workflow acceleration. This job posting is for an open vacancy. Please note that the ...
Machine Learning Engineering Manager
Toronto, ON · On-site
CA$148K - CA$266K/yr
... learning engineering or related field * 3+ years of experience as a manager * Experience building ... Experience training deep neural nets, such as CNN and transformers and proficiency in least one ...
Machine Learning Engineering Manager
Toronto, ON · On-site
CA$148K - CA$266K/yr
... learning engineering or related field * 3+ years of experience as a manager * Experience building ... Experience training deep neural nets, such as CNN and transformers and proficiency in least one ...
Research Machine Learning Scientist
CA$140K - CA$250K/yr
PhD or Master's degree in Computer Science, Statistics, Mathematics, Engineering or a related field * Strong background in machine learning and deep learning * 2+ years of research experience with ...
Research Machine Learning Scientist
CA$140K - CA$250K/yr
PhD or Master's degree in Computer Science, Statistics, Mathematics, Engineering or a related field * Strong background in machine learning and deep learning * 2+ years of research experience with ...
Senior Machine Learning Engineer
Toronto, ON · On-site
As part of our team, you will operate at the intersection of deep applied research and scalable ... deep learning, or NLP. * Programming Mastery: Expert-level proficiency in Python and strong ...
Senior Machine Learning Engineer
Toronto, ON · On-site
As part of our team, you will operate at the intersection of deep applied research and scalable ... deep learning, or NLP. * Programming Mastery: Expert-level proficiency in Python and strong ...
You will work at the intersection of large-scale systems, compilers, and deep learning, crafting ... Strong software engineering background with proficiency in systems level programming (e.g., C/C ...
You will work at the intersection of large-scale systems, compilers, and deep learning, crafting ... Strong software engineering background with proficiency in systems level programming (e.g., C/C ...
This role will work closely with our product, solutions architecture, and engineering teams to ... Hands-on experience with machine learning / deep learning methods and extensive knowledge of Large ...
This role will work closely with our product, solutions architecture, and engineering teams to ... Hands-on experience with machine learning / deep learning methods and extensive knowledge of Large ...
Drive the Deep Learning Evolution: Lead the architectural transition from legacy tree-based models (XGBoost) to advanced Neural Network architectures (Deep Learning) for audience propensity ...
Drive the Deep Learning Evolution: Lead the architectural transition from legacy tree-based models (XGBoost) to advanced Neural Network architectures (Deep Learning) for audience propensity ...
Machine Learning Applications and Compiler Engineer, LPX - New College Grad 2026
Toronto, ON · On-site
Today, NVIDIA's GPU simulates human intelligence, running deep learning algorithms and acting as ... NVIDIA is seeking engineers to develop algorithms and optimizations for our LPX inference and ...
Machine Learning Applications and Compiler Engineer, LPX - New College Grad 2026
Toronto, ON · On-site
Today, NVIDIA's GPU simulates human intelligence, running deep learning algorithms and acting as ... NVIDIA is seeking engineers to develop algorithms and optimizations for our LPX inference and ...
Machine Learning Applications and Compiler Engineer, LPX - New College Grad 2026
Toronto, ON · On-site
Today, NVIDIA's GPU simulates human intelligence, running deep learning algorithms and acting as ... NVIDIA is seeking engineers to develop algorithms and optimizations for our LPX inference and ...
Machine Learning Applications and Compiler Engineer, LPX - New College Grad 2026
Toronto, ON · On-site
Today, NVIDIA's GPU simulates human intelligence, running deep learning algorithms and acting as ... NVIDIA is seeking engineers to develop algorithms and optimizations for our LPX inference and ...
Machine Learning Researcher
Toronto, ON · On-site
Strong programming skills in Python * .Hands-on experience with deep learning frameworks such as PyTorch and/or TensorFlow * .Excellent analytical, problem-solving, and research communication skills
Machine Learning Researcher
Toronto, ON · On-site
Strong programming skills in Python * .Hands-on experience with deep learning frameworks such as PyTorch and/or TensorFlow * .Excellent analytical, problem-solving, and research communication skills
Experience with machine learning and deep learning frameworks * Proficiency in software engineering * An understanding of Computer Science fundamentals such as data structures and algorithms and a ...
Experience with machine learning and deep learning frameworks * Proficiency in software engineering * An understanding of Computer Science fundamentals such as data structures and algorithms and a ...
Generative AI Software Engineer
Toronto, ON · On-site
... deep learning, machine learning, natural language processing, and big data. Responsibilities ... Work closely with software and DevOps engineers to deploy GenAI models. * Document code, algorithms ...
Quick apply
Generative AI Software Engineer
Toronto, ON · On-site
... deep learning, machine learning, natural language processing, and big data. Responsibilities ... Work closely with software and DevOps engineers to deploy GenAI models. * Document code, algorithms ...
Experience working with deep learning - RNN's, Transformer models, etc * 2+ years' experience ... Programming Language) Additional Job Details Address: RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO ...
Experience working with deep learning - RNN's, Transformer models, etc * 2+ years' experience ... Programming Language) Additional Job Details Address: RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO ...
Research Engineer II
Toronto, ON · On-site
Experience with deep learning packages such as PyTorch, JAX, or Tensorflow; * Knowledge of professional software engineering best practices for the full software development life cycle, including ...
Research Engineer II
Toronto, ON · On-site
Experience with deep learning packages such as PyTorch, JAX, or Tensorflow; * Knowledge of professional software engineering best practices for the full software development life cycle, including ...
Machine Learning Engineer II
Toronto, ON · On-site
CA$154K - CA$199K/yr
Our research broadly spans the field of machine learning with areas such as deep learning and ... We are looking for world-class engineers to tackle cutting-edge problems in Machine Learning ...
Machine Learning Engineer II
Toronto, ON · On-site
CA$154K - CA$199K/yr
Our research broadly spans the field of machine learning with areas such as deep learning and ... We are looking for world-class engineers to tackle cutting-edge problems in Machine Learning ...
Senior GEN AI Engineer
Toronto, ON · Hybrid
CA$120K - CA$130K/yr
Our challenge Client Capital Markets is seeking a highly skilled AI Engineer with deep expertise in Generative AI, neural networks, and transfer learning to support the development of an innovative ...
Senior GEN AI Engineer
Toronto, ON · Hybrid
CA$120K - CA$130K/yr
Our challenge Client Capital Markets is seeking a highly skilled AI Engineer with deep expertise in Generative AI, neural networks, and transfer learning to support the development of an innovative ...
At RBC Borealis, you'll be joining a team of leading researchers and software engineering ... Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch. What's in it for ...
At RBC Borealis, you'll be joining a team of leading researchers and software engineering ... Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch. What's in it for ...
Leverage deep learning, time-series analysis, and Graph Neural Networks (GNNs) to enhance threat ... Strong software engineering fundamentals, including rigorous unit/integration testing, Git-based ...
Leverage deep learning, time-series analysis, and Graph Neural Networks (GNNs) to enhance threat ... Strong software engineering fundamentals, including rigorous unit/integration testing, Git-based ...
At RBC Borealis, you'll be joining a team of leading researchers and software engineering ... Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch. What's in it for ...
At RBC Borealis, you'll be joining a team of leading researchers and software engineering ... Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch. What's in it for ...
Deep Learning Developer information
What are the key skills and qualifications needed to thrive as a Deep Learning Developer, and why are they important?
What are Deep Learning Developers?
Which 3 jobs will survive AI?
What is the difference between Deep Learning Developer vs Machine Learning Engineer?
| Aspect | Deep Learning Developer | Machine Learning Engineer |
|---|---|---|
| Required Credentials | Bachelor's or Master's in CS, AI, or related; experience with neural networks | Bachelor's or Master's in CS, Data Science, or related; knowledge of algorithms |
| Work Environment | Research labs, AI startups, tech companies focusing on neural networks | Data-driven companies, software firms, industries applying machine learning |
| Industry Usage | Primarily in AI research, neural network development, deep learning projects | Broader application including predictive modeling, data analysis, and ML systems |
Deep Learning Developers specialize in neural networks and deep learning models, often working on AI research and complex algorithms. Machine Learning Engineers have a broader focus on developing, deploying, and maintaining machine learning models across various applications. While both roles require similar educational backgrounds, their focus areas and industry applications differ.
What are some common challenges Deep Learning Developers face when deploying models to production environments?

Job description
Job Description
What's the opportunity?
At RBC Borealis, you'll be joining a team of leading researchers and software engineering specializing in machine learning. You will have access to rich and massive datasets, and to computational resources to support novel product development touching machine learning areas such as generative AI, natural language processing, and time series analysis.
We're looking for an enthusiastic Senior Machine Learning Research Engineer who's excited by the opportunity of being at the forefront of applying machine learning technology to challenging problems. As a Senior ML Research Engineer in the applied research team, you'll be part of a collaborative group who aims to deliver AI projects end to end - everything from data pre-processing and exploration, to prototyping novel algorithmic solutions, to software implementations of machine learning-based products. The goal is to understand the needs of our business partners and bring to life these unique and efficient solutions that can only be achieved through the use of machine learning.
Your responsibilities include:
- Lead development of machine learning-based software solutions;
- Collaborating with business stakeholders to prototype machine-learning solutions rapidly;
- Conducting comparisons to existing algorithms and baselines;
- Reviewing, extending, and optimizing prototype solutions;
- Collaborating with the engineering team to integrate algorithms into products;
- Developing reusable internal tools to facilitate research prototyping;
- Supporting projects with thorough documentation, design decisions, and capabilities.
You're our ideal candidate if you have:
- A master's or PhD degree in computer science, mathematics, physics, economics or equivalent;
- 5+ years of applied machine learning experience as an individual contributor driving projects;
- Experience with writing modular, robust, scalable software in Python 3.x;
- Expertise in a few of the following areas: deep learning, natural language processing, information retrieval;
- Experience with deep learning packages such as PyTorch, JAX, or Tensorflow;
- Knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews, and source control management;
- Strong communication skills and a collaborative attitude.
What's in it for you?
- Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
- A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
- Leaders who support your development through coaching and managing opportunities;
- Ability to make a difference and lasting impact from a local-to-global scale.
About RBC Borealis
RBC Borealis, an RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo, and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.
Inclusion and Equal Opportunity Employment
RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.
Job Skills
Analytical Thinking, Decision Making, Detail-Oriented, Long Term Planning, Machine Learning (ML), Product Development Design, Programming Languages, Quantitative Research, Research and Development Operations, Research DocumentsAdditional Job Details
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Our Employment Opportunities
At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.
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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.
Employment Type: FULL_TIMEAbout Royal Bank of Canada
Sourced by ZipRecruiter
Industry
Banking and credit intermediation
Company size
10,000+ Employees
Headquarters location
Toronto, Ontario, CA